[{'a': tensor([[0.4988, 0.7241, 0.7256, 0.9043, 0.3609, 0.2823, 0.6717, 0.4210],
- [0.0468, 0.4962, 0.6700, 0.6791, 0.4480, 0.6369, 0.9411, 0.4161],
- [0.7327, 0.2153, 0.4803, 0.6254, 0.6972, 0.7203, 0.3749, 0.1068]]), 'b': tensor([0.7431, 0.0085, 0.7784, 0.5169, 0.8002, 0.8959]), 'c': {'d': tensor([9])}}, {'a': tensor([[0.8966, 0.2367, 0.3155, 0.2447, 0.7502, 0.3064, 0.3143, 0.5349],
- [0.2605, 0.8560, 0.6529, 0.4059, 0.5994, 0.2921, 0.3995, 0.2292],
- [0.5662, 0.5464, 0.2838, 0.9038, 0.9548, 0.3060, 0.5302, 0.8437]]), 'b': tensor([0.7548, 0.3362, 0.8550, 1.0000, 0.4130, 0.3655]), 'c': {'d': tensor([2])}}, {'a': tensor([[0.3677, 0.3421, 0.4460, 0.7772, 0.3766, 0.9940, 0.5326, 0.3466],
- [0.4958, 0.3887, 0.1173, 0.6149, 0.9832, 0.7040, 0.6106, 0.2814],
- [0.3399, 0.1493, 0.6184, 0.6662, 0.9462, 0.5536, 0.0702, 0.0865]]), 'b': tensor([0.8936, 0.4369, 0.3443, 0.4641, 0.8873, 0.4910]), 'c': {'d': tensor([3])}}, {'a': tensor([[0.1329, 0.4461, 0.3671, 0.4682, 0.6337, 0.1284, 0.7620, 0.4050],
- [0.6164, 0.0113, 0.3437, 0.2089, 0.4788, 0.7171, 0.2853, 0.3697],
- [0.2112, 0.0428, 0.2923, 0.8689, 0.4651, 0.2751, 0.4519, 0.3700]]), 'b': tensor([0.3853, 0.9247, 0.2851, 0.0747, 0.4396, 0.1159]), 'c': {'d': tensor([5])}}]
-
-
-
-(<Tensor 0x7f23cf2cef90>
-├── 'a' --> tensor([[[0.4988, 0.7241, 0.7256, 0.9043, 0.3609, 0.2823, 0.6717, 0.4210],
-│ [0.0468, 0.4962, 0.6700, 0.6791, 0.4480, 0.6369, 0.9411, 0.4161],
-│ [0.7327, 0.2153, 0.4803, 0.6254, 0.6972, 0.7203, 0.3749, 0.1068]]])
-├── 'b' --> tensor([[1.5522, 1.0001, 1.6059, 1.2672, 1.6403, 1.8027]])
-└── 'c' --> <Tensor 0x7f23cf2cef50>
- ├── 'd' --> tensor([[9.]])
- └── 'noise' --> tensor([[[[-0.2251, 0.7084, -0.5529, 0.0669, 0.8018],
- [ 0.5181, 0.3463, 0.0748, -0.3207, 1.9748],
- [ 1.1064, 0.5060, 1.7276, -0.5799, -0.1182],
- [-0.8722, -0.9070, -0.5306, -2.1614, -1.1677]],
+128[{'a': tensor([[0.3475, 0.9699, 0.4772, 0.6647, 0.0243, 0.1626, 0.6268, 0.3397],
+ [0.6285, 0.6735, 0.9201, 0.6854, 0.3789, 0.6768, 0.6074, 0.6713],
+ [0.1681, 0.6026, 0.1400, 0.9416, 0.6368, 0.0315, 0.1228, 0.8556]]), 'b': tensor([0.0490, 0.6121, 0.2932, 0.2273, 0.4061, 0.8224]), 'c': {'d': tensor([6])}}, {'a': tensor([[0.9936, 0.5278, 0.0225, 0.2825, 0.9082, 0.1315, 0.0219, 0.8892],
+ [0.8598, 0.4766, 0.9841, 0.6111, 0.4000, 0.4303, 0.4213, 0.4081],
+ [0.5907, 0.7987, 0.1249, 0.7151, 0.5842, 0.4242, 0.8982, 0.8537]]), 'b': tensor([9.3398e-01, 7.7965e-01, 8.2679e-02, 5.4770e-01, 4.9663e-04, 6.4203e-01]), 'c': {'d': tensor([8])}}, {'a': tensor([[0.7243, 0.0390, 0.7971, 0.1093, 0.4718, 0.6911, 0.0603, 0.6489],
+ [0.5967, 0.3724, 0.4736, 0.2487, 0.8451, 0.1936, 0.3431, 0.5003],
+ [0.9406, 0.2118, 0.9030, 0.1664, 0.3081, 0.9451, 0.4779, 0.6266]]), 'b': tensor([0.8382, 0.9626, 0.3416, 0.9876, 0.7006, 0.6103]), 'c': {'d': tensor([2])}}, {'a': tensor([[0.6707, 0.9703, 0.1352, 0.6781, 0.3381, 0.7689, 0.8293, 0.8418],
+ [0.0718, 0.4045, 0.9580, 0.7345, 0.8666, 0.2949, 0.9908, 0.0139],
+ [0.5199, 0.0829, 0.1316, 0.5628, 0.7719, 0.8888, 0.9530, 0.5530]]), 'b': tensor([0.7706, 0.6616, 0.9560, 0.9689, 0.2121, 0.4695]), 'c': {'d': tensor([4])}}]
+
+
+
+(<Tensor 0x7fd780cef150>
+├── 'a' --> tensor([[[0.3475, 0.9699, 0.4772, 0.6647, 0.0243, 0.1626, 0.6268, 0.3397],
+│ [0.6285, 0.6735, 0.9201, 0.6854, 0.3789, 0.6768, 0.6074, 0.6713],
+│ [0.1681, 0.6026, 0.1400, 0.9416, 0.6368, 0.0315, 0.1228, 0.8556]]])
+├── 'b' --> tensor([[1.0024, 1.3747, 1.0860, 1.0517, 1.1649, 1.6764]])
+└── 'c' --> <Tensor 0x7fd780cef110>
+ ├── 'd' --> tensor([[6.]])
+ └── 'noise' --> tensor([[[[-2.1174, 0.4871, 1.6440, 0.4767, -1.5633],
+ [ 0.1873, 0.3295, -0.3621, -0.4503, 0.6838],
+ [ 0.9481, 0.4436, -0.5856, 1.0622, -0.3173],
+ [ 0.6431, -0.3365, 0.6653, 0.3106, 1.1312]],
- [[-2.0568, 0.0201, 0.8778, 1.2083, -1.4061],
- [-0.7401, -0.8587, 0.2289, 0.3299, 0.0458],
- [ 1.4468, -0.4280, -0.0031, -0.0586, 1.2410],
- [-0.3846, 0.5479, -0.6717, -2.4232, 0.0601]],
+ [[ 0.4778, 0.5948, 0.3580, 0.8219, 0.7092],
+ [-0.4016, 0.1793, -0.2846, -0.5240, 0.6229],
+ [ 0.0365, -0.0560, 2.3271, -0.4593, 1.1793],
+ [-1.4241, -0.3745, 1.2657, 0.8822, 0.9167]],
- [[ 0.5933, 0.9622, 1.0494, -0.9084, 0.8666],
- [ 0.8181, -0.6364, 0.7561, 0.4782, 0.0596],
- [ 0.2203, 0.2115, 0.4589, -1.5416, 1.5849],
- [-0.5428, -0.9142, 0.8027, -0.2417, 0.2599]]]])
-, <Tensor 0x7f23cf2d5050>
-├── 'a' --> tensor([[[0.8966, 0.2367, 0.3155, 0.2447, 0.7502, 0.3064, 0.3143, 0.5349],
-│ [0.2605, 0.8560, 0.6529, 0.4059, 0.5994, 0.2921, 0.3995, 0.2292],
-│ [0.5662, 0.5464, 0.2838, 0.9038, 0.9548, 0.3060, 0.5302, 0.8437]]])
-├── 'b' --> tensor([[1.5697, 1.1130, 1.7311, 1.9999, 1.1706, 1.1336]])
-└── 'c' --> <Tensor 0x7f23cf2cefd0>
- ├── 'd' --> tensor([[2.]])
- └── 'noise' --> tensor([[[[ 0.4224, 1.6639, 0.1294, 0.4404, 1.1528],
- [-1.1149, 0.5887, -0.3244, -1.6550, -0.8552],
- [-0.4903, -0.3886, 0.0564, -1.5520, -0.4567],
- [-0.0650, -0.1450, -0.5995, -1.0928, -0.1131]],
+ [[ 0.7676, -1.2893, -0.6432, -0.6735, -1.4743],
+ [ 1.1242, -0.1313, -1.4943, 1.5779, -1.2356],
+ [-0.3293, 1.3379, 0.3798, -0.7290, 0.2535],
+ [ 1.1418, 1.7066, 0.4250, -0.1961, 1.3350]]]])
+, <Tensor 0x7fd780cef1d0>
+├── 'a' --> tensor([[[0.9936, 0.5278, 0.0225, 0.2825, 0.9082, 0.1315, 0.0219, 0.8892],
+│ [0.8598, 0.4766, 0.9841, 0.6111, 0.4000, 0.4303, 0.4213, 0.4081],
+│ [0.5907, 0.7987, 0.1249, 0.7151, 0.5842, 0.4242, 0.8982, 0.8537]]])
+├── 'b' --> tensor([[1.8723, 1.6079, 1.0068, 1.3000, 1.0000, 1.4122]])
+└── 'c' --> <Tensor 0x7fd780cef190>
+ ├── 'd' --> tensor([[8.]])
+ └── 'noise' --> tensor([[[[-0.8128, -1.6533, 2.0515, -0.7219, 0.1242],
+ [ 1.3610, 1.5727, 0.3465, -0.6886, -0.5479],
+ [ 0.1445, 0.6841, -0.7181, -0.3060, 1.2675],
+ [-0.8946, -0.0046, 0.8154, 1.7051, 0.4367]],
- [[ 0.1034, -1.5745, -1.4887, -0.2467, 0.0186],
- [ 0.8950, 0.7672, -0.1656, 0.9881, -1.2519],
- [-1.4148, 0.7608, 0.9714, 0.0524, -0.1138],
- [ 0.2295, -1.5545, -0.8834, 0.0699, 0.3299]],
+ [[-0.2613, 0.7647, 0.2300, -0.2189, -0.8265],
+ [-0.2513, 0.9692, -0.3927, -0.8838, 0.8167],
+ [ 0.0913, -0.9369, -1.1412, -2.1652, 0.4254],
+ [-0.7478, 0.7940, -0.6322, 0.3070, -1.1721]],
- [[ 1.8726, -0.8993, -0.2003, 2.4094, 0.5690],
- [ 0.1813, -0.6252, 0.2727, -2.4450, -1.7282],
- [ 0.2969, 0.6411, -2.0464, -0.5533, 0.9221],
- [ 1.5534, 0.6929, 0.5926, 0.5250, 0.6495]]]])
-, <Tensor 0x7f23cf2d50d0>
-├── 'a' --> tensor([[[0.3677, 0.3421, 0.4460, 0.7772, 0.3766, 0.9940, 0.5326, 0.3466],
-│ [0.4958, 0.3887, 0.1173, 0.6149, 0.9832, 0.7040, 0.6106, 0.2814],
-│ [0.3399, 0.1493, 0.6184, 0.6662, 0.9462, 0.5536, 0.0702, 0.0865]]])
-├── 'b' --> tensor([[1.7985, 1.1908, 1.1186, 1.2154, 1.7873, 1.2411]])
-└── 'c' --> <Tensor 0x7f23cf2d5090>
- ├── 'd' --> tensor([[3.]])
- └── 'noise' --> tensor([[[[ 2.2353e-01, 1.6902e+00, -8.7939e-01, -9.4252e-02, -5.3999e-01],
- [-1.0796e-01, 6.2323e-01, 9.8780e-01, 1.0714e+00, 8.6215e-01],
- [-1.9530e-01, 1.3596e+00, -1.1075e+00, 7.8370e-01, 5.7867e-01],
- [-3.4001e-01, 8.3104e-01, -3.9318e-01, 3.5231e-01, 1.8032e+00]],
+ [[-0.3369, -0.1862, -0.8153, -0.7819, 0.1798],
+ [ 0.0370, 1.2637, -0.9208, -0.7892, 1.3895],
+ [-1.0689, 1.4138, -1.0365, -1.4097, 1.1804],
+ [ 1.4404, -1.8158, -0.4486, -1.2731, -0.3389]]]])
+, <Tensor 0x7fd780cef250>
+├── 'a' --> tensor([[[0.7243, 0.0390, 0.7971, 0.1093, 0.4718, 0.6911, 0.0603, 0.6489],
+│ [0.5967, 0.3724, 0.4736, 0.2487, 0.8451, 0.1936, 0.3431, 0.5003],
+│ [0.9406, 0.2118, 0.9030, 0.1664, 0.3081, 0.9451, 0.4779, 0.6266]]])
+├── 'b' --> tensor([[1.7025, 1.9266, 1.1167, 1.9754, 1.4909, 1.3724]])
+└── 'c' --> <Tensor 0x7fd780cef210>
+ ├── 'd' --> tensor([[2.]])
+ └── 'noise' --> tensor([[[[ 0.2872, -1.6111, 1.0044, 1.1789, -1.1462],
+ [-0.4728, -0.8040, -0.7656, 0.0652, -1.3764],
+ [-0.0768, -0.2900, -0.3228, 0.0874, -0.8826],
+ [-0.0525, -0.2105, 0.8718, 0.5493, -0.5555]],
- [[-2.1560e+00, -2.7918e-01, 5.0593e-01, -1.2121e+00, 6.9013e-01],
- [ 8.5980e-01, 1.3046e+00, -1.7451e+00, -8.0696e-01, 2.7184e-01],
- [-1.3191e+00, 1.5242e+00, -1.8549e+00, -9.6654e-01, -3.5644e-01],
- [ 4.4235e-01, -4.0173e-01, -1.0131e+00, -1.8758e-01, 1.0555e-03]],
+ [[ 0.8987, 0.7381, -0.6271, -0.2705, -0.6213],
+ [-0.5735, -0.5778, 1.1568, -0.9787, 0.5789],
+ [-1.3454, -1.3415, 2.1759, 0.6419, 0.6287],
+ [ 0.6826, 1.3087, 0.9313, 1.7176, -0.3058]],
- [[-7.1873e-01, 1.0539e-01, 1.7169e-01, -7.1189e-01, 3.7561e-01],
- [-8.0030e-01, -2.9153e-01, 2.3382e+00, 4.7493e-01, -5.9295e-01],
- [-5.2623e-02, -2.3702e-01, 4.8707e-01, 1.4713e+00, -3.8816e-01],
- [ 7.6074e-01, 2.7698e-01, -6.1706e-01, -2.1615e-01, -1.6049e-01]]]])
-, <Tensor 0x7f23cf2d5150>
-├── 'a' --> tensor([[[0.1329, 0.4461, 0.3671, 0.4682, 0.6337, 0.1284, 0.7620, 0.4050],
-│ [0.6164, 0.0113, 0.3437, 0.2089, 0.4788, 0.7171, 0.2853, 0.3697],
-│ [0.2112, 0.0428, 0.2923, 0.8689, 0.4651, 0.2751, 0.4519, 0.3700]]])
-├── 'b' --> tensor([[1.1485, 1.8550, 1.0813, 1.0056, 1.1932, 1.0134]])
-└── 'c' --> <Tensor 0x7f23cf2d5110>
- ├── 'd' --> tensor([[5.]])
- └── 'noise' --> tensor([[[[-4.6259e-01, 6.7244e-01, 8.6484e-01, -4.8543e-01, 7.3399e-01],
- [ 1.2574e+00, -9.9577e-01, 2.6062e+00, 1.5446e+00, -1.9946e-01],
- [-3.7373e-02, -1.6270e+00, 7.7440e-02, -2.0501e+00, -1.0679e+00],
- [ 1.3499e+00, -3.4835e-01, -1.7810e-03, -7.1529e-01, 1.4538e+00]],
+ [[ 0.6742, 0.0308, -0.4731, -0.2947, 0.2904],
+ [-0.9799, -1.2539, 0.9214, 0.4889, 0.7525],
+ [-1.8317, 0.3625, 0.8638, -1.7646, -0.0935],
+ [-0.1630, 2.3480, -0.4936, -0.5598, 0.6039]]]])
+, <Tensor 0x7fd780cef2d0>
+├── 'a' --> tensor([[[0.6707, 0.9703, 0.1352, 0.6781, 0.3381, 0.7689, 0.8293, 0.8418],
+│ [0.0718, 0.4045, 0.9580, 0.7345, 0.8666, 0.2949, 0.9908, 0.0139],
+│ [0.5199, 0.0829, 0.1316, 0.5628, 0.7719, 0.8888, 0.9530, 0.5530]]])
+├── 'b' --> tensor([[1.5939, 1.4378, 1.9140, 1.9387, 1.0450, 1.2205]])
+└── 'c' --> <Tensor 0x7fd780cef290>
+ ├── 'd' --> tensor([[4.]])
+ └── 'noise' --> tensor([[[[ 0.8287, -0.0082, 0.6548, -1.5932, 0.2997],
+ [-2.0996, -0.0448, -0.8775, -0.5619, 0.6386],
+ [-0.1129, -0.4202, 0.3835, 1.3292, 0.8047],
+ [-1.5353, 1.2519, 0.3518, 0.4238, -0.0620]],
- [[-1.9004e+00, -2.4670e-01, -8.7180e-01, 1.1970e-01, -7.1526e-01],
- [-1.0509e+00, 4.5463e-01, -2.4136e-01, 1.7954e-02, 1.6224e+00],
- [ 1.6314e+00, -4.2244e-01, -1.5516e+00, 4.3259e-01, -1.8995e-01],
- [ 9.2890e-01, -2.2891e-01, -3.1376e-01, -3.9537e-01, -6.8854e-01]],
+ [[ 0.6867, 0.9812, 0.3997, -0.8021, -0.6749],
+ [ 0.5689, -0.8294, -0.0686, 0.4586, -1.1016],
+ [ 0.5549, -0.1373, -0.0072, 0.1909, 0.0874],
+ [-1.0049, 0.2308, -0.8946, -0.3245, -0.8235]],
- [[ 1.8265e-01, -1.7005e+00, 1.3638e+00, 8.3365e-02, -1.1188e+00],
- [-4.3107e-01, 2.9803e-01, 3.1940e-01, -3.9731e-01, -3.2552e-01],
- [ 1.6615e+00, -4.2413e-01, -3.3378e-01, -2.9354e-01, -3.2789e-01],
- [-1.0352e+00, -4.3292e-02, 1.9249e-01, -7.8346e-01, 1.0492e-01]]]])
+ [[ 0.2729, -1.6510, 2.2041, 0.3856, 0.3060],
+ [ 0.2732, -0.9295, -0.4179, 0.0309, -1.1453],
+ [ 0.9466, -0.9830, -1.7350, 1.5642, -1.9006],
+ [ 1.0425, 0.5667, 1.3060, 2.1589, -1.8488]]]])
)
-mean0 & mean1: tensor(1.3848) tensor(1.3848)
+mean0 & mean1: tensor(1.4287) tensor(1.4287)
-even_index_a0: tensor([[[0.4988, 0.7241, 0.7256, 0.9043, 0.3609, 0.2823, 0.6717, 0.4210],
- [0.7327, 0.2153, 0.4803, 0.6254, 0.6972, 0.7203, 0.3749, 0.1068]],
+even_index_a0: tensor([[[0.3475, 0.9699, 0.4772, 0.6647, 0.0243, 0.1626, 0.6268, 0.3397],
+ [0.1681, 0.6026, 0.1400, 0.9416, 0.6368, 0.0315, 0.1228, 0.8556]],
- [[0.8966, 0.2367, 0.3155, 0.2447, 0.7502, 0.3064, 0.3143, 0.5349],
- [0.5662, 0.5464, 0.2838, 0.9038, 0.9548, 0.3060, 0.5302, 0.8437]],
+ [[0.9936, 0.5278, 0.0225, 0.2825, 0.9082, 0.1315, 0.0219, 0.8892],
+ [0.5907, 0.7987, 0.1249, 0.7151, 0.5842, 0.4242, 0.8982, 0.8537]],
- [[0.3677, 0.3421, 0.4460, 0.7772, 0.3766, 0.9940, 0.5326, 0.3466],
- [0.3399, 0.1493, 0.6184, 0.6662, 0.9462, 0.5536, 0.0702, 0.0865]],
+ [[0.7243, 0.0390, 0.7971, 0.1093, 0.4718, 0.6911, 0.0603, 0.6489],
+ [0.9406, 0.2118, 0.9030, 0.1664, 0.3081, 0.9451, 0.4779, 0.6266]],
- [[0.1329, 0.4461, 0.3671, 0.4682, 0.6337, 0.1284, 0.7620, 0.4050],
- [0.2112, 0.0428, 0.2923, 0.8689, 0.4651, 0.2751, 0.4519, 0.3700]]])
-even_index_a1: tensor([[[0.4988, 0.7241, 0.7256, 0.9043, 0.3609, 0.2823, 0.6717, 0.4210],
- [0.7327, 0.2153, 0.4803, 0.6254, 0.6972, 0.7203, 0.3749, 0.1068]],
+ [[0.6707, 0.9703, 0.1352, 0.6781, 0.3381, 0.7689, 0.8293, 0.8418],
+ [0.5199, 0.0829, 0.1316, 0.5628, 0.7719, 0.8888, 0.9530, 0.5530]]])
+even_index_a1: tensor([[[0.3475, 0.9699, 0.4772, 0.6647, 0.0243, 0.1626, 0.6268, 0.3397],
+ [0.1681, 0.6026, 0.1400, 0.9416, 0.6368, 0.0315, 0.1228, 0.8556]],
- [[0.8966, 0.2367, 0.3155, 0.2447, 0.7502, 0.3064, 0.3143, 0.5349],
- [0.5662, 0.5464, 0.2838, 0.9038, 0.9548, 0.3060, 0.5302, 0.8437]],
+ [[0.9936, 0.5278, 0.0225, 0.2825, 0.9082, 0.1315, 0.0219, 0.8892],
+ [0.5907, 0.7987, 0.1249, 0.7151, 0.5842, 0.4242, 0.8982, 0.8537]],
- [[0.3677, 0.3421, 0.4460, 0.7772, 0.3766, 0.9940, 0.5326, 0.3466],
- [0.3399, 0.1493, 0.6184, 0.6662, 0.9462, 0.5536, 0.0702, 0.0865]],
+ [[0.7243, 0.0390, 0.7971, 0.1093, 0.4718, 0.6911, 0.0603, 0.6489],
+ [0.9406, 0.2118, 0.9030, 0.1664, 0.3081, 0.9451, 0.4779, 0.6266]],
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+<Size 0x7fd780ce7e50>
├── 'a' --> torch.Size([1, 3, 8])
├── 'b' --> torch.Size([1, 6])
-└── 'c' --> <Size 0x7f23cf2cee50>
+└── 'c' --> <Size 0x7fd780ce7f50>
├── 'd' --> torch.Size([1, 1])
└── 'noise' --> torch.Size([1, 3, 4, 5])
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+ [0.5416],
+ [0.6087],
+ [0.8901]]), 'done': tensor([False, False, False, False])}
We can see that the structure process function need to be fully implemented (like the function stack). This code is actually not clear, and due to hard coding, if you need to support more data types (such as integer), you must make special modifications to the function.
<Tensor 0x7f75dcbfa3d0>
-├── 'action' --> tensor([[7],
-│ [9],
-│ [6],
-│ [1]])
+189<Tensor 0x7f0e32d2f410>
+├── 'action' --> tensor([[2],
+│ [1],
+│ [1],
+│ [5]])
├── 'done' --> tensor([False, False, False, False])
-├── 'obs' --> <Tensor 0x7f75dcbfa410>
-│ ├── 'image' --> tensor([[[[ 7.6617e-01, 8.6971e-01, -7.1642e-01, ..., -4.0199e-01,
-│ │ -3.6113e-01, 5.5904e-01],
-│ │ [-2.2546e+00, -1.9853e-02, 1.4706e+00, ..., 7.8383e-01,
-│ │ 4.4517e-01, -2.3921e-01],
-│ │ [-4.2330e-01, 1.3992e+00, 5.8110e-01, ..., -9.7155e-01,
-│ │ -1.4901e+00, 7.4472e-01],
+├── 'obs' --> <Tensor 0x7f0e32d2f450>
+│ ├── 'image' --> tensor([[[[ 2.6272e+00, -1.0294e+00, -1.5940e+00, ..., -9.3182e-02,
+│ │ 3.9244e-01, -4.4503e-01],
+│ │ [-8.9254e-01, 8.9127e-01, -1.2924e-01, ..., 7.3394e-01,
+│ │ -1.0461e+00, -1.3621e+00],
+│ │ [ 3.5645e-01, -8.4749e-01, 4.9504e-01, ..., 9.4878e-01,
+│ │ -6.6304e-01, -4.2047e-01],
│ │ ...,
-│ │ [ 7.0250e-01, 1.9100e-01, 3.9415e-01, ..., -9.9225e-01,
-│ │ -5.1993e-01, 9.9817e-01],
-│ │ [ 1.3290e+00, -7.9501e-01, 7.1491e-02, ..., 4.3433e-01,
-│ │ -2.9945e-01, 4.4074e-01],
-│ │ [-6.9265e-01, -1.3571e+00, -1.2768e+00, ..., -2.6093e-01,
-│ │ -3.8646e-01, -2.7174e+00]],
+│ │ [-3.0816e-01, -1.6271e+00, -1.4034e-01, ..., -2.3180e+00,
+│ │ -1.9103e+00, 1.4829e-01],
+│ │ [-1.2089e+00, -9.2431e-01, -1.0259e+00, ..., -8.2043e-01,
+│ │ -8.3087e-01, 3.8327e-01],
+│ │ [ 1.5363e+00, 9.0637e-01, 4.6859e-02, ..., -1.2058e+00,
+│ │ -1.7979e+00, 2.7610e+00]],
│ │
-│ │ [[ 2.0617e+00, -1.2537e+00, 1.4331e+00, ..., 1.6575e+00,
-│ │ -6.0114e-01, 3.1270e-01],
-│ │ [-1.4235e+00, -2.5372e-01, -1.0332e+00, ..., 1.7707e+00,
-│ │ 9.1548e-02, 9.6389e-01],
-│ │ [-1.8756e-01, -2.5464e+00, 1.1960e+00, ..., 1.6705e-01,
-│ │ -2.5667e-02, -4.1013e-01],
+│ │ [[ 1.7448e+00, 2.7290e-01, -8.7109e-01, ..., -7.2846e-01,
+│ │ 2.5226e-01, -1.8648e-01],
+│ │ [ 1.1244e+00, 2.8831e-01, -7.2355e-01, ..., -9.0482e-01,
+│ │ 1.6669e+00, -1.9811e+00],
+│ │ [-6.7459e-01, -1.8093e+00, 3.8681e-01, ..., -1.0412e+00,
+│ │ 2.0864e-01, 5.3534e-01],
│ │ ...,
-│ │ [ 2.3524e+00, -1.7291e+00, -3.3200e-01, ..., 2.4696e+00,
-│ │ -1.7689e+00, 9.7180e-01],
-│ │ [-1.4647e+00, 1.1478e+00, -4.9510e-01, ..., -6.0951e-01,
-│ │ 7.2489e-01, -6.9899e-01],
-│ │ [ 5.5439e-01, 1.3488e+00, -1.5794e+00, ..., 1.7237e+00,
-│ │ -2.0384e+00, -2.0454e+00]],
+│ │ [-1.3180e+00, -1.3421e+00, -1.5501e+00, ..., -1.8043e+00,
+│ │ -5.0464e-01, 1.3026e+00],
+│ │ [-3.3487e-01, -1.5640e-01, 3.6916e-01, ..., -8.8524e-01,
+│ │ 6.8647e-02, -4.0889e-01],
+│ │ [-4.8592e-01, -7.4230e-01, -5.0081e-01, ..., 7.6531e-01,
+│ │ -2.6081e-03, -1.7281e-01]],
│ │
-│ │ [[ 1.6769e+00, -4.7323e-01, 2.4656e-01, ..., 8.3954e-01,
-│ │ -1.3611e+00, 3.6848e-01],
-│ │ [-8.0553e-01, 2.9708e-01, 8.4020e-01, ..., -1.1613e+00,
-│ │ -1.2770e+00, -1.9292e+00],
-│ │ [-1.4560e+00, 1.4713e+00, -4.0211e-01, ..., -1.0315e+00,
-│ │ -7.0483e-01, -9.3583e-01],
+│ │ [[-9.4887e-01, -4.9513e-01, 1.7602e-01, ..., 1.0223e+00,
+│ │ -4.5222e-01, -1.0828e+00],
+│ │ [ 1.0957e+00, 4.6485e-01, -2.3308e+00, ..., 4.6474e-01,
+│ │ 4.5162e-01, -1.3148e+00],
+│ │ [-1.6421e+00, -9.9611e-01, 9.6881e-01, ..., -1.3359e-01,
+│ │ -5.9296e-01, 4.3322e-01],
│ │ ...,
-│ │ [-1.1052e-01, -4.2311e-01, -2.1832e+00, ..., 4.1772e-01,
-│ │ 1.1268e+00, -1.1902e-01],
-│ │ [ 1.9106e+00, 8.2024e-01, 2.9511e-01, ..., 3.1063e-02,
-│ │ -1.2589e+00, -2.3071e-01],
-│ │ [ 2.0988e-01, -1.2746e+00, -1.8505e-01, ..., 8.8508e-01,
-│ │ 5.2641e-02, -4.1147e-01]]],
+│ │ [ 9.5491e-02, -2.3115e-01, 3.1108e-01, ..., 1.7579e-01,
+│ │ 1.3691e-01, 7.7788e-01],
+│ │ [-7.8136e-01, 6.7601e-01, 8.1854e-02, ..., 1.8441e+00,
+│ │ 1.0489e-01, 3.4862e-01],
+│ │ [ 1.3997e+00, -4.8583e-01, 6.3437e-01, ..., 5.6911e-01,
+│ │ -8.3412e-01, -9.5279e-01]]],
│ │
│ │
-│ │ [[[ 1.2840e+00, -8.3725e-01, 4.8268e-01, ..., -1.2659e+00,
-│ │ -1.1258e+00, -1.1510e-01],
-│ │ [ 4.3621e-01, -1.3704e+00, -8.2041e-01, ..., 3.4706e-01,
-│ │ -3.1259e+00, -1.5435e-01],
-│ │ [ 1.1958e-01, 3.0939e-01, 4.7794e-01, ..., -1.7427e-01,
-│ │ 8.2941e-01, 2.1515e+00],
+│ │ [[[-1.6093e-01, 1.4088e+00, -8.9462e-01, ..., -2.7107e-01,
+│ │ -3.8959e-01, 1.7281e+00],
+│ │ [-1.8502e+00, 1.3379e+00, -4.2066e-01, ..., 3.0541e-01,
+│ │ -1.6400e+00, 4.5414e-01],
+│ │ [ 1.5545e+00, 3.1985e-01, 1.2667e+00, ..., 2.3269e-01,
+│ │ -3.8486e-01, -2.9411e-02],
│ │ ...,
-│ │ [-1.5997e+00, -5.0346e-01, 1.0582e+00, ..., 6.2150e-01,
-│ │ -7.1944e-02, 3.9193e-01],
-│ │ [ 1.2791e-01, -1.8796e-01, 3.7645e-01, ..., 4.8711e-01,
-│ │ 1.6134e+00, -1.2251e+00],
-│ │ [ 8.8584e-01, 6.7075e-01, -1.4405e+00, ..., -3.9131e-01,
-│ │ 1.3794e+00, -9.0571e-01]],
+│ │ [ 5.2771e-01, 1.2326e+00, 1.2467e+00, ..., 4.5704e-01,
+│ │ 1.6787e-01, 5.5680e-01],
+│ │ [ 4.6150e-01, 1.8641e+00, -6.1776e-01, ..., -1.5672e+00,
+│ │ 5.6124e-01, -1.0745e+00],
+│ │ [-4.7781e-01, -1.1462e+00, -8.3262e-01, ..., -2.2009e-01,
+│ │ 2.3452e-01, -1.7001e-01]],
│ │
-│ │ [[ 3.6177e-01, -1.0872e-01, -2.0212e+00, ..., -6.0404e-01,
-│ │ 7.6724e-01, -1.3284e-01],
-│ │ [-1.6882e+00, -8.5822e-01, 4.5305e-01, ..., -1.5982e+00,
-│ │ -5.1037e-01, 1.8648e-01],
-│ │ [ 3.5187e-01, -4.6702e-01, 1.1280e+00, ..., 1.5205e+00,
-│ │ 1.3361e+00, -3.0260e-01],
+│ │ [[ 2.0575e-01, 2.1270e+00, 6.6904e-01, ..., -1.9964e-02,
+│ │ 7.8921e-01, 7.1180e-01],
+│ │ [-1.9189e+00, -1.6086e+00, -1.0180e+00, ..., 1.2527e+00,
+│ │ -1.9904e+00, 1.6115e+00],
+│ │ [ 1.2195e+00, -3.4039e-01, 6.1146e-01, ..., -1.3924e+00,
+│ │ -1.1786e+00, -2.0935e+00],
│ │ ...,
-│ │ [-1.8079e+00, 9.7586e-01, 6.2571e-02, ..., 6.5384e-01,
-│ │ -4.4568e-01, -2.2152e-01],
-│ │ [ 4.4688e-01, 7.3571e-01, -1.8397e+00, ..., -8.9481e-02,
-│ │ -2.0039e+00, 5.2447e-02],
-│ │ [-7.1765e-01, 1.6876e-01, 6.3033e-01, ..., -7.2999e-01,
-│ │ -6.2229e-01, -5.9918e-01]],
+│ │ [ 2.1442e-01, 1.1997e+00, -5.8316e-02, ..., -8.6502e-01,
+│ │ 4.9176e-01, 2.3007e+00],
+│ │ [ 1.1472e-01, -1.5833e+00, 8.0396e-01, ..., -2.2110e+00,
+│ │ 9.3243e-01, 1.3563e+00],
+│ │ [-6.0943e-01, 4.2055e-01, -2.3414e-01, ..., 1.2568e+00,
+│ │ -4.7302e-01, -7.9847e-01]],
│ │
-│ │ [[-5.3798e-01, 8.3764e-01, -2.4980e+00, ..., -1.5340e-01,
-│ │ -4.8389e-01, 1.5889e+00],
-│ │ [ 2.8851e-01, -4.5382e-01, 1.3598e-01, ..., 1.1941e+00,
-│ │ 8.5329e-01, 4.8505e-02],
-│ │ [-1.5352e+00, 8.4463e-01, 2.6600e-01, ..., 9.3809e-01,
-│ │ -6.5906e-03, 3.4883e-01],
+│ │ [[ 5.1442e-01, -2.7138e-01, -4.8023e-01, ..., -2.0839e-01,
+│ │ 4.4641e-01, 1.3421e+00],
+│ │ [-1.3930e+00, 3.8450e-01, -5.6955e-01, ..., 9.6663e-01,
+│ │ -2.1589e-01, -4.7563e-01],
+│ │ [-2.7612e+00, 8.9440e-01, -1.6277e+00, ..., -6.4809e-02,
+│ │ -3.0945e-01, 8.3884e-01],
│ │ ...,
-│ │ [-1.7818e-01, 2.7328e-01, -6.0461e-01, ..., -2.6736e+00,
-│ │ 7.1264e-01, -2.0231e-01],
-│ │ [ 8.7016e-02, 3.6084e-01, -3.5679e-01, ..., -1.0197e-01,
-│ │ 1.3537e+00, 5.0607e-01],
-│ │ [-2.0748e-01, -8.3520e-01, -1.1453e+00, ..., -1.4438e-01,
-│ │ 3.1173e-01, -5.0344e-01]]],
+│ │ [ 1.0391e-01, -2.8075e-01, 7.4540e-01, ..., -1.4498e+00,
+│ │ -2.9876e-01, 1.8587e-01],
+│ │ [ 9.2319e-01, -1.1215e+00, -1.9252e+00, ..., -9.7873e-02,
+│ │ -1.8019e-01, -8.0590e-01],
+│ │ [-1.3243e-01, -8.1742e-01, 9.3373e-01, ..., -5.4372e-01,
+│ │ 5.6469e-01, -3.4379e-01]]],
│ │
│ │
-│ │ [[[ 1.7989e+00, -2.0549e+00, -2.8194e-01, ..., -6.5228e-01,
-│ │ 1.0457e+00, 7.2464e-01],
-│ │ [-2.8294e-01, 1.3458e+00, -2.2864e+00, ..., -1.0349e+00,
-│ │ -9.7625e-01, -1.8577e+00],
-│ │ [ 1.0621e+00, -2.3718e-01, 1.9789e-01, ..., 5.4305e-01,
-│ │ 2.1700e+00, 2.5215e-01],
+│ │ [[[-2.7260e-01, 1.6865e+00, 5.9196e-01, ..., 3.8368e-01,
+│ │ -8.9342e-01, 1.7023e-01],
+│ │ [ 7.3554e-01, 1.3494e+00, 9.1818e-01, ..., -2.9726e-01,
+│ │ 9.6643e-01, -1.0302e+00],
+│ │ [-1.7122e+00, 1.4858e-01, 3.7822e-01, ..., -1.1915e+00,
+│ │ -1.6343e-01, -1.5157e+00],
│ │ ...,
-│ │ [-3.5516e-01, 1.0309e+00, -1.7568e-01, ..., 2.4700e-01,
-│ │ -4.5593e-01, 2.6655e-02],
-│ │ [ 1.2279e+00, 1.2722e+00, 4.0558e-01, ..., -5.5085e-01,
-│ │ 2.9551e-01, 5.2798e-01],
-│ │ [-1.9006e+00, -1.1918e+00, -1.4863e+00, ..., 8.7028e-01,
-│ │ 5.9805e-01, 1.7594e+00]],
+│ │ [ 3.8758e-01, 1.2720e+00, 5.3524e-01, ..., 8.1573e-02,
+│ │ 1.5581e-01, 1.1699e+00],
+│ │ [ 1.3691e+00, 2.1329e+00, 1.1070e-01, ..., 1.2142e+00,
+│ │ -6.0260e-01, -1.3885e-01],
+│ │ [ 4.8267e-02, 1.4395e+00, -1.7067e-02, ..., 1.4207e-01,
+│ │ 1.0330e+00, 4.5561e-01]],
│ │
-│ │ [[-1.4698e+00, 3.8265e-01, -5.5530e-01, ..., -1.6390e+00,
-│ │ 4.2289e-01, 4.6658e-01],
-│ │ [ 9.2278e-01, -2.9913e-01, -6.0889e-01, ..., 1.7062e+00,
-│ │ 1.9099e-02, 1.7855e-01],
-│ │ [-1.3294e-01, -1.3547e-01, -1.6219e+00, ..., -2.7073e+00,
-│ │ 7.5659e-01, 1.3968e+00],
+│ │ [[ 1.9467e+00, 1.3013e+00, 1.3495e+00, ..., -1.7687e+00,
+│ │ -4.0426e-01, 3.2816e-01],
+│ │ [ 2.0583e+00, 5.5059e-01, -9.9210e-01, ..., -2.1046e-01,
+│ │ -1.3838e+00, -1.6936e+00],
+│ │ [ 4.0262e-01, -6.1884e-01, 8.0960e-01, ..., -3.0809e-01,
+│ │ -5.8931e-01, 1.1378e+00],
│ │ ...,
-│ │ [ 6.2121e-01, -1.8169e-01, -1.8160e+00, ..., -3.2613e-01,
-│ │ 3.3308e-01, 1.0336e+00],
-│ │ [ 2.5701e-01, -1.0070e-01, 6.9507e-01, ..., 1.7958e-01,
-│ │ 1.1767e-01, -1.3518e+00],
-│ │ [-4.5116e-01, -1.1524e-01, 9.8993e-01, ..., -1.5808e-01,
-│ │ -1.3057e+00, -4.5269e-01]],
+│ │ [ 5.2386e-01, -1.6265e+00, -3.1389e-01, ..., -3.8595e-01,
+│ │ 3.2624e-01, 1.0563e+00],
+│ │ [-6.9293e-01, 2.4022e-01, 5.6437e-01, ..., -1.0106e+00,
+│ │ -3.0184e-01, -8.0688e-01],
+│ │ [-2.3136e-01, 1.8049e-01, -8.6149e-01, ..., 7.4074e-01,
+│ │ -5.0897e-01, -5.5431e-01]],
│ │
-│ │ [[-3.6419e-01, 7.2250e-01, 3.2350e-01, ..., 7.0354e-01,
-│ │ 6.5367e-02, -1.1793e+00],
-│ │ [ 1.4335e+00, 3.3230e-01, 1.2658e+00, ..., -6.6967e-01,
-│ │ 3.1859e-01, -3.9021e-01],
-│ │ [-3.3653e-01, 6.9273e-01, -1.0418e+00, ..., 5.7985e-01,
-│ │ -1.5359e-01, 7.2036e-01],
+│ │ [[-1.0840e+00, 3.5099e-01, -1.7431e+00, ..., -2.3789e-01,
+│ │ -1.3082e+00, 2.5814e-02],
+│ │ [-1.3836e+00, 1.8467e-02, 1.0146e+00, ..., -7.0984e-01,
+│ │ 1.3297e-01, 2.0980e-01],
+│ │ [ 3.8414e-01, 9.2836e-01, 1.0076e+00, ..., -1.6087e-01,
+│ │ -3.3405e-01, 1.7162e-02],
│ │ ...,
-│ │ [-2.3675e+00, 1.6241e-01, -4.2059e-02, ..., 8.4461e-01,
-│ │ 5.3053e-01, 4.7430e-01],
-│ │ [ 2.6707e+00, -2.6707e-01, 1.1961e-01, ..., -2.5121e-01,
-│ │ -9.3590e-01, 1.4375e+00],
-│ │ [-6.9982e-01, 1.8830e-01, -9.6439e-01, ..., 3.3328e-01,
-│ │ -1.6299e+00, -4.0177e-01]]],
+│ │ [ 1.6641e-01, 7.7883e-01, -3.6102e-01, ..., -8.4493e-01,
+│ │ 5.5524e-01, 1.0057e+00],
+│ │ [ 2.2089e+00, -1.4945e+00, 5.5051e-01, ..., -8.3560e-01,
+│ │ -5.1410e-01, 1.3439e+00],
+│ │ [ 8.1745e-01, -9.3881e-02, 1.6283e-01, ..., 6.0386e-01,
+│ │ 1.3998e+00, -1.9757e+00]]],
│ │
│ │
-│ │ [[[ 9.9454e-01, 1.7571e-02, -1.7147e-01, ..., 1.2155e-01,
-│ │ -2.4705e-01, 9.7597e-01],
-│ │ [ 9.4899e-02, -2.0575e-01, 2.0768e-01, ..., -5.5405e-01,
-│ │ -1.3570e+00, -1.4584e+00],
-│ │ [ 9.3860e-01, 9.2163e-02, -1.4517e+00, ..., -1.2957e+00,
-│ │ 2.6764e-01, -1.4819e+00],
+│ │ [[[-1.5637e+00, -1.1686e-01, -2.4370e+00, ..., -1.4747e+00,
+│ │ 1.0364e+00, -1.6491e+00],
+│ │ [-1.7164e+00, -7.4583e-01, -6.8228e-01, ..., -1.5119e+00,
+│ │ 3.2741e-01, 4.0077e-01],
+│ │ [ 4.1436e-02, 7.9921e-01, 3.2692e-02, ..., -1.1410e-01,
+│ │ -1.2400e+00, -8.1138e-01],
│ │ ...,
-│ │ [-1.2370e+00, -9.1411e-02, 2.4398e+00, ..., -1.9582e-01,
-│ │ 1.7487e+00, -1.2289e+00],
-│ │ [ 4.0685e-01, 4.5113e-02, -1.1097e+00, ..., 1.7212e+00,
-│ │ -7.0647e-01, 1.2999e+00],
-│ │ [ 4.9858e-01, -1.1281e+00, 2.5771e-01, ..., -6.7957e-01,
-│ │ 8.0188e-01, -7.6641e-01]],
+│ │ [ 4.4621e-01, 9.8786e-01, 1.2534e+00, ..., 1.3640e+00,
+│ │ -1.1549e-01, -1.4349e+00],
+│ │ [-1.7734e-01, -1.7989e+00, 2.0748e+00, ..., -1.3936e-01,
+│ │ -7.2663e-01, -1.9009e+00],
+│ │ [-7.5283e-01, 6.7158e-01, 1.6942e+00, ..., 5.7167e-01,
+│ │ 5.4191e-02, 6.6339e-01]],
│ │
-│ │ [[-4.2508e-01, 1.9638e-01, -6.7139e-01, ..., -6.5118e-01,
-│ │ 1.2727e+00, -4.4369e-01],
-│ │ [-3.0421e-01, -3.9787e-01, -5.3897e-01, ..., -1.6729e+00,
-│ │ 7.4222e-02, -2.1711e-01],
-│ │ [ 9.5320e-01, 1.7244e-01, -1.5193e+00, ..., -1.8103e-02,
-│ │ -4.4028e-01, 7.1648e-01],
+│ │ [[-2.2619e+00, 1.4424e+00, -1.6582e+00, ..., -1.7831e-01,
+│ │ -1.7872e-01, -1.0634e-02],
+│ │ [-3.5306e-01, 1.4789e+00, 2.4736e-01, ..., 2.6562e-01,
+│ │ 2.6354e-01, -1.3950e+00],
+│ │ [ 5.5146e-01, -9.6770e-01, 3.4711e-01, ..., 1.3756e-01,
+│ │ 1.0550e+00, 2.6085e+00],
│ │ ...,
-│ │ [ 1.5610e+00, 3.7748e-01, 1.5014e+00, ..., -1.3469e+00,
-│ │ 6.2261e-01, 2.3336e+00],
-│ │ [ 6.3687e-02, 1.3443e+00, 3.6596e-02, ..., -3.7198e-01,
-│ │ -7.9156e-01, -1.9430e-01],
-│ │ [-7.1782e-01, -4.1301e-01, 1.2804e+00, ..., 1.7012e-01,
-│ │ -8.3132e-03, -9.3630e-01]],
+│ │ [-1.2197e+00, 8.2181e-01, 1.0828e+00, ..., -1.0578e+00,
+│ │ -1.6881e+00, -2.3439e+00],
+│ │ [ 2.2917e+00, -1.1767e+00, 1.3907e-01, ..., -1.0601e+00,
+│ │ -5.7007e-01, -9.6392e-01],
+│ │ [-2.3801e-01, -1.9133e+00, 1.1328e+00, ..., 1.4937e+00,
+│ │ 2.5980e-01, 7.8457e-01]],
│ │
-│ │ [[ 2.2933e-01, -8.1923e-02, 1.5407e+00, ..., -3.2554e-01,
-│ │ -2.4968e+00, 1.4969e+00],
-│ │ [ 2.2214e+00, -1.4919e+00, 7.3254e-01, ..., 1.9711e-01,
-│ │ -8.9155e-01, -1.6838e-01],
-│ │ [ 2.4170e-04, 4.2521e-01, 1.8404e+00, ..., -8.6108e-01,
-│ │ 3.1741e-01, 1.2367e+00],
+│ │ [[ 6.5475e-01, 1.1980e+00, 5.4622e-01, ..., -1.0511e+00,
+│ │ 8.0223e-01, 1.4605e-02],
+│ │ [-1.0390e+00, -3.4317e-02, -6.2237e-01, ..., -4.0543e-02,
+│ │ -5.8819e-02, -4.2489e-03],
+│ │ [ 4.3063e-01, -3.8609e-01, 6.8251e-02, ..., -2.3745e+00,
+│ │ -1.8072e-01, 6.6693e-02],
│ │ ...,
-│ │ [ 2.6534e-01, -1.2522e+00, -3.7694e-01, ..., -5.5528e-01,
-│ │ -8.3856e-01, -1.2145e+00],
-│ │ [-3.6109e-01, -4.2227e-01, 5.7961e-01, ..., -1.6124e+00,
-│ │ -7.0339e-01, -5.5985e-02],
-│ │ [-1.8471e+00, -2.6512e-02, 4.4590e-01, ..., 9.5735e-01,
-│ │ -1.6891e+00, -5.5476e-01]]]])
-│ └── 'scalar' --> tensor([[-0.9476, 0.6435, -0.7357, 0.7297, 0.1060, 0.4059, 0.2123, -0.2214,
-│ -0.1083, 3.2109, 1.4773, -0.0790],
-│ [-0.8019, -1.2374, 0.7233, 0.4406, 1.0263, 0.8403, 1.3333, -0.5170,
-│ -0.5376, 0.8502, -3.3358, 0.3863],
-│ [ 0.4945, -0.3660, -2.2119, 1.6752, -0.4996, -0.3249, 0.1362, -0.2720,
-│ 0.3492, 0.7507, 0.3585, 0.3376],
-│ [-0.3297, -0.0963, -1.1709, -1.4596, 0.5584, -0.7464, 1.0672, -0.5952,
-│ 1.6791, -0.4589, 0.8291, 0.6133]])
-└── 'reward' --> tensor([[0.5218],
- [0.9731],
- [0.8589],
- [0.8121]])
+│ │ [-1.0728e+00, 6.2520e-01, 1.0720e+00, ..., -2.0302e+00,
+│ │ -7.6540e-01, -8.0704e-01],
+│ │ [ 4.1989e-02, 2.4075e-01, 1.6637e+00, ..., -5.8938e-01,
+│ │ -3.3336e-02, 1.0991e+00],
+│ │ [ 9.7852e-02, -8.6643e-01, -1.4775e+00, ..., 1.4132e+00,
+│ │ -2.3297e+00, -1.6058e-01]]]])
+│ └── 'scalar' --> tensor([[-0.4695, 2.8186, 1.3453, -0.9782, -0.7220, 0.2234, -0.1762, 0.3119,
+│ 0.1785, -0.8212, -1.1816, -0.6314],
+│ [-0.3597, -0.2658, 0.2322, 1.1390, -0.0318, 1.5325, 1.0791, 0.3376,
+│ -1.3680, 0.6226, 0.6586, -0.0713],
+│ [ 0.6076, 1.6966, -0.3129, -0.7043, 0.6307, 0.1305, -0.1573, 0.1228,
+│ 0.0557, -1.3271, 1.1262, -0.7296],
+│ [-0.3451, 0.4009, -0.4941, -0.9138, 0.3399, -0.3370, 0.9855, -1.3532,
+│ 0.0234, 0.4242, 1.5025, 0.3947]])
+└── 'reward' --> tensor([[0.2961],
+ [0.6680],
+ [0.7562],
+ [0.1958]])
This code looks much simpler and clearer.
diff --git a/4/merge/searchindex.js b/4/merge/searchindex.js index 2ba6bbdaea63038f6f5dc6b039f110dd6b981486..f47e5140c93553f9a7d4e854851f9b3e642e2f95 100644 --- a/4/merge/searchindex.js +++ b/4/merge/searchindex.js @@ -1 +1 @@ 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42,43,60,64,69,70,71,72,73,74,75,76,86,90,91,93,94,95,165,184,196,198],operatornam:82,option:[6,7,8,11,13,15,16,17,18,20,21,24,26,29,30,32,33,34,36,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,91,94,95,123,124,183],ord:69,order:[8,11,69],origin:[11,26,46,59,83,97,105,123,124,125,183],other:[8,11,15,18,29,30,31,34,35,44,45,46,47,51,58,60,61,63,65,66,86,89,91,102,103,104,106,107,108,112,113,127,128,129,130,139,155,156,180,181,183],otherwis:[8,9,15,16,17,18,35,61,62,63,65,77,88,90,93,124,183],out:[6,7,8,11,13,15,16,17,20,21,24,30,31,32,34,36,37,40,42,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,75,78,80,82,84,86,87,88,89,91,93,94,95,165,197],output:[6,7,11,13,15,16,17,20,21,24,30,32,33,34,36,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,94,95,194,195,198,199],over:[6,7,11,20,62,90],overflow:90,overview:[1,2,5,109,193],p_object:8,packag:[5,198],paramet:60,part:[48,49,50,193],partial:199,pass:[6,7,8,11,91,193,194,195],pend:8,pep8:198,perform:[6,7,18,30,64,69,90,123,124,183],pin:[32,91,124,183],pin_memori:[32,91],pip:[197,198],piter:3,place:[6,7,14,22,25,28,38,39,41,54,56,57,68,79,81,85,111,113,118,121,125,126,129,133,134,136,145,147,148,156,158,163,165,168,171,173,176,178,181,186],pleas:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],plugin:196,point:69,posit:[6,7,49,92],possibl:[11,77,83,166,183],potc:196,pow:[19,96,116,163,165,188,194],pow_:[96,116,188],power:[72,197],practic:196,pre:8,prepend:60,preprocess:165,present:100,preserv:[6,7,8],preserve_format:[26,33,43,71,74,76,95,122,123,124,183],prevent:90,previous:125,print:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,194,195,197,198,199],print_tre:0,process:195,produc:[61,63,69],product:[31,60,64],project:5,promot:[30,89],properli:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],properti:[109,137,164,169],protect:109,protocol:8,provid:[8,11,20,109],pseudorandom:[73,75],purpos:60,pypi:197,python:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,197],pytorch:[13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,196],quick:196,rais:[6,7,100,195],rand:[16,17,53,55,194,195],randint:[19,20,23,83,86,87,92,93,96,194,195,198],randint_lik:[19,96],randn:[15,17,19,20,21,24,27,28,29,33,40,43,46,52,59,60,61,62,63,64,65,67,69,71,72,76,78,84,88,90,93,95,96,137,164,165,183,184,194,195,198,199],randn_lik:[19,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,179,180,181,182,183,184,185,186,187],kwarg:[1,6,7,8,9,11,13,15,16,17,18,20,21,23,24,25,26,29,30,31,32,33,34,36,37,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,83,84,86,87,88,89,90,91,94,95,97,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwreduc:0,kws:191,largest:40,last:[6,7,23,83],layout:[8,32,33,42,43,70,71,73,74,75,76,94,95],lceil:21,lead:86,leaf:[91,126],least:60,leav:86,left:[6,7,21,40],len:[62,83,90,194],length:[11,46],leq:[47,51],less:[11,40,51,58],less_equ:11,let:[24,165],lfloor:40,like:[8,30,32,33,43,46,70,71,75,76,94,95,184,194,195,199],linalg:69,linesep:199,linspac:24,list:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],littl:105,loaded_weight:165,locat:[11,61,63],log10:[19,54,96,116,145,188],log10_:[19,96,116,188],log2:[19,56,96,116,147,188],log2_:[19,96,116,188],log:[19,36,57,96,116,148,188],log_:[19,52,53,55,96,116,188],logarithm:[52,53,55],logic:[6,7,60],longtensor:[46,93],look:[60,195],low:[73,74],lower:24,lowest:[73,74],lvert:47,made:8,mai:[6,7,69,77,125],main:[165,197],mainli:189,major:8,make:[77,126,165,195],mapper:191,mark:193,mask:[59,149],masked_select:[19,96,116,188],mat1:64,mat2:[64,154],mat:8,match:[16,17,59,183],math:[36,47],mathcal:75,mathemat:69,matmul:[19,64,96,116,188],matric:64,matrix:[8,60,64,69],matrix_norm:69,max:[19,24,25,96,116,120,121,188,194],max_indic:61,max_valu:24,maxim:61,maximum:61,mean0:194,mean1:194,mean:[19,75,76,96,116,137,188,194],mean_b:194,mean_b_list:194,meet:8,member:189,memori:[8,26,32,33,43,71,74,76,91,95,123,124,183],memory_format:[26,32,33,43,71,74,76,95,122,123,124,183],meta:[4,196,197],metaclass:2,meth:[178,186],method:[6,7,8,100,109,125,126,166],min:[19,24,25,96,116,120,121,188],min_indic:63,min_valu:24,minim:63,minimum:[8,63],mode:[125,126],modif:[125,195],modifi:2,modul:[193,196],module_autoremov:192,moduletyp:193,more:[6,7,8,69,195],most:8,move:184,much:[194,195],mul:[19,96,116,156,188],mul_:[96,116,188],multipl:[6,7,60,61,63,64],multipli:[15,60,64,65,89],multiplicand:65,must:[6,7,11,15,20,29,31,59,60,65,69,72,93,112,195],myclass:193,name:[109,189],namedtupl:[61,63],nan:[6,7,9,47,48,49,50,52,53,54,55,56,57,84,85],nativ:[105,194,196,199],natur:52,ndarrai:[6,7,8,11,18,91,161],ndmin:8,necessari:[46,184],necessarili:8,need:[8,46,59,87,109,195],neg:[6,7,19,48,49,68,92,96,116,158,188],neg_:[19,96,116,188],neither:[8,69],neq:66,nest:[8,184,198],never:[125,126],newest:197,newli:8,nois:194,non:[6,7,20,60,66],non_block:[124,183],none:[3,6,7,8,11,13,15,16,17,18,20,21,24,30,31,32,33,34,36,37,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,84,86,87,88,89,90,91,94,95,100,114,115,120,121,124,128,129,151,152,153,159,177,178,179,182,183],nonfinit:47,nonzero:93,nor:[8,69],norm:[19,29,96,116,188],normal:[75,76],not_equ:11,note:[11,60,69,125],now:[7,125,165],nuc:69,nuclear:69,number:[6,7,8,11,15,23,24,30,31,32,34,43,44,45,46,51,58,65,66,69,70,72,73,74,75,76,77,87,94,99,166,184],numel:[96,98,116,188],numpi:[1,16,17,18,30,31,91,96,97,99,100,101,116,188,196],obei:[75,76],obj:[8,109,193],object:[0,2,6,7,8,11,99,100,101,105,123,124,164,184,193,196,198],obs:195,obtain:165,occur:69,occurr:99,often:195,old:[71,95],one:[6,7,8,11,60,69,77,86,92,125],ones:[8,11,19,32,42,71,74,76,93,96],ones_lik:[8,19,33,43,96],onli:[8,11,31,32,47,60,69,77,86,91],onto:2,opendilab:197,oper:[11,20,26,30,32,33,42,43,60,64,69,70,71,72,73,74,75,76,86,90,91,93,94,95,165,184,196,198],operatornam:82,option:[6,7,8,11,13,15,16,17,18,20,21,24,26,29,30,32,33,34,36,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,91,94,95,123,124,183],ord:69,order:[8,11,69],origin:[11,26,46,59,83,97,105,123,124,125,183],other:[8,11,15,18,29,30,31,34,35,44,45,46,47,51,58,60,61,63,65,66,86,89,91,102,103,104,106,107,108,112,113,127,128,129,130,139,155,156,180,181,183],otherwis:[8,9,15,16,17,18,35,61,62,63,65,77,88,90,93,124,183],out:[6,7,8,11,13,15,16,17,20,21,24,30,31,32,34,36,37,40,42,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,75,78,80,82,84,86,87,88,89,91,93,94,95,165,197],output:[6,7,11,13,15,16,17,20,21,24,30,32,33,34,36,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,94,95,194,195,198,199],over:[6,7,11,20,62,90],overflow:90,overview:[1,2,5,109,193],p_object:8,packag:[5,198],paramet:60,part:[48,49,50,193],partial:199,pass:[6,7,8,11,91,193,194,195],pend:8,pep8:198,perform:[6,7,18,30,64,69,90,123,124,183],pin:[32,91,124,183],pin_memori:[32,91],pip:[197,198],piter:3,place:[6,7,14,22,25,28,38,39,41,54,56,57,68,79,81,85,111,113,118,121,125,126,129,133,134,136,145,147,148,156,158,163,165,168,171,173,176,178,181,186],pleas:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],plugin:196,point:69,posit:[6,7,49,92],possibl:[11,77,83,166,183],potc:196,pow:[19,96,116,163,165,188,194],pow_:[96,116,188],power:[72,197],practic:196,pre:8,prepend:60,preprocess:165,present:100,preserv:[6,7,8],preserve_format:[26,33,43,71,74,76,95,122,123,124,183],prevent:90,previous:125,print:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,194,195,197,198,199],print_tre:0,process:195,produc:[61,63,69],product:[31,60,64],project:5,promot:[30,89],properli:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],properti:[109,137,164,169],protect:109,protocol:8,provid:[8,11,20,109],pseudorandom:[73,75],purpos:60,pypi:197,python:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,197],pytorch:[13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,196],quick:196,rais:[6,7,100,195],rand:[16,17,53,55,194,195],randint:[19,20,23,83,86,87,92,93,96,194,195,198],randint_lik:[19,96],randn:[15,17,19,20,21,24,27,28,29,33,40,43,46,52,59,60,61,62,63,64,65,67,69,71,72,76,78,84,88,90,93,95,96,137,164,165,183,184,194,195,198,199],randn_lik:[19,96],random:[73,74,75,76,199],rang:[24,73,74,92,194,195],rceil:21,read:91,real:[9,15,48,49,50,65],realloc:46,reason:8,recommend:91,record:[32,33,42,43,70,71,73,74,75,76,91,94,95,165],reduc:[6,7,16,17,59,61,62,63,88,90,114,115,151,152,153,179,182],reduct:[6,7],refer:[6,7,8,198],reflect:[161,192,196],reformat:198,regardless:7,rel:47,relationship:26,releas:69,remain:[7,11,77],remov:[60,69,86,192],replaceable_parti:192,repr:2,repres:[47,48,50],represent:2,requir:[8,125,165,197],requires_grad:[18,27,28,32,33,42,43,70,71,73,74,75,76,91,94,95,96,116,137,165,188],requires_grad_:[27,28,91,96,116,137,164,188],reshap:[19,69,83,96,116,188],resize_:125,resize_as_:125,respect:[24,64,124,183],result:[6,7,8,11,15,16,17,26,30,61,62,63,65,69,72,90,125,126,165,184,198],retain:[11,16,17,18,61,62,63,69,88,90]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\ No newline at end of file diff --git a/4/merge/tutorials/plugins/index.html b/4/merge/tutorials/plugins/index.html index cf2d0e71cf279202d6d06e78d9e371115b43c521..3d9189618531b27c3ecab50208cab3adfae58cda 100644 --- a/4/merge/tutorials/plugins/index.html +++ b/4/merge/tutorials/plugins/index.html @@ -263,32 +263,32 @@ from treetensor.torch import Size __all__ = ['t_i_tensor', 't_shape', 't_tensor'] t_i_tensor = Tensor({ - 'x': { - 'b': torch.as_tensor([[-2, 6, 2], [4, 9, 0]], dtype=torch.long) - }, 'a': - torch.as_tensor([[3, 0, 3, 1], [5, 2, -3, 1], [0, 9, 5, -2]], - dtype=torch.long) + torch.as_tensor([[5, -2, 3, 8], [1, -4, 9, 3], [3, 3, 9, -1]], + dtype=torch.long), + 'x': { + 'b': torch.as_tensor([[3, -4, 2], [5, -1, 2]], dtype=torch.long) + } }) -t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])}) +t_shape = Size({'a': torch.Size([3, 4]), 'x': {'b': torch.Size([2, 3])}}) t_tensor = Tensor({ 'a': torch.as_tensor( - [[-1.6811436414718628, 0.7687175869941711, 0.7032131552696228], - [-0.190230131149292, 0.24612100422382355, 0.6256953477859497]], + [[0.4244627356529236, 0.3720245063304901, 0.6036396026611328], + [-0.38515710830688477, -0.5954881906509399, 0.5014342665672302]], dtype=torch.float32), 'b': torch.as_tensor([[ - -0.9940696954727173, 1.9003427028656006, -1.2767176628112793, - 1.0153948068618774 + 0.5792564153671265, -0.2717190980911255, 0.23971562087535858, + 2.3462607860565186 ], [ - -0.07319999486207962, 1.0882651805877686, - -1.4030388593673706, -0.39222612977027893 + -0.30591991543769836, -0.4848884344100952, + -1.2653298377990723, -0.44368115067481995 ], [ - -0.3778131604194641, -0.43093517422676086, - 1.7150276899337769, -0.22756335139274597 + 0.00598740391433239, 1.3383880853652954, + 0.8710134625434875, -0.07131683081388474 ]], dtype=torch.float32) }) diff --git a/4/merge/tutorials/quick_start/index.html b/4/merge/tutorials/quick_start/index.html index 178732362121c15d16f052727f07aa61b6de9af1..bde051d8ca4ba5ceab1bd3c2602b93fe8b29f908 100644 --- a/4/merge/tutorials/quick_start/index.html +++ b/4/merge/tutorials/quick_start/index.html @@ -258,23 +258,23 @@ tensor([[1, 2, 3], [4, 5, 6]]) new tree tensor: -<Tensor 0x7f1c796562d0> +<Tensor 0x7ffbab0b31d0> ├── 'a' --> tensor([1, 2, 3]) -└── 'b' --> <Tensor 0x7f1c79656550> +└── 'b' --> <Tensor 0x7ffbab0b3410> └── 'x' --> tensor([[4, 5], [6, 7]]) new random native tensor: -tensor([[ 0.2823, 1.4965, -2.0540], - [ 0.4547, -1.0099, 0.8090]]) +tensor([[ 0.2365, -0.0704, 0.4446], + [ 0.9368, -1.2426, -1.3270]]) new random tree tensor: -<Tensor 0x7f1c796561d0> -├── 'a' --> tensor([[-0.3394, 1.9411, -0.8679], -│ [ 2.3123, -0.8020, 0.3367]]) -└── 'b' --> <Tensor 0x7f1c1652b110> - └── 'x' --> tensor([[ 0.9565, 0.3710, -0.5070, 0.3174], - [-1.5316, -1.3808, -0.0499, -0.0800], - [-0.0155, -1.4910, -0.1608, -0.7288]]) +<Tensor 0x7ffb47f81b90> +├── 'a' --> tensor([[-0.8806, -0.3767, 0.1894], +│ [-2.1550, -1.1373, 0.8758]]) +└── 'b' --> <Tensor 0x7ffb47ea5fd0> + └── 'x' --> tensor([[ 1.9006, 0.1695, -0.9242, -0.5916], + [ 0.7173, -0.1508, -1.4373, -0.3008], + [ 0.1691, 0.6792, -0.2677, 1.8697]]) diff --git a/main/.buildinfo b/main/.buildinfo index 70c84449df568e5dea3ca8a6dbb729ce122add50..d690052d415c28f20f7c927435905353b6854382 100644 --- a/main/.buildinfo +++ b/main/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. 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...,
- [-3.7843e-01, -5.0862e-01, -1.3797e+00, ..., 2.4534e-01,
- -9.7209e-02, 1.2930e+00],
- [-4.0159e-02, -6.0508e-01, -7.1709e-01, ..., 7.3833e-01,
- -1.3899e+00, -7.4773e-01],
- [-1.3224e+00, 5.6862e-01, 2.1318e+00, ..., 1.9951e+00,
- -1.1807e+00, 1.6562e+00]]],
-
-
- [[[-1.0490e+00, 1.7948e-01, 1.8012e-01, ..., -1.0526e+00,
- 9.6566e-01, -5.2008e-01],
- [-1.3456e+00, 5.7873e-01, -9.1055e-02, ..., 1.5037e+00,
- -4.8046e-01, -1.2487e+00],
- [-1.8765e+00, -8.7947e-01, 7.1517e-01, ..., 7.1192e-01,
- 6.8661e-01, 1.3710e-01],
+ [-1.5971, -0.5560, -1.0482, ..., -0.2660, -0.9110, 1.2622],
+ [ 0.4574, -0.1543, -1.0990, ..., 0.9954, -0.2259, 0.0154],
+ [ 0.8290, -0.9593, 0.7676, ..., -0.5178, 1.5155, 0.1731]]],
+
+
+ [[[-0.8831, -0.9802, -0.1647, ..., 0.4304, 0.1735, 0.0559],
+ [-0.2812, 1.1180, 0.1165, ..., -1.0904, 0.0568, 2.4372],
+ [-1.2625, 0.8721, -0.6744, ..., 0.0113, -0.8546, -1.0874],
...,
- [ 8.6204e-01, -6.6277e-01, -8.9953e-01, ..., -9.6216e-01,
- 3.2794e-01, -4.0775e-01],
- [ 7.5288e-01, 1.7011e-01, 3.5486e-01, ..., -2.4379e+00,
- 3.1394e-01, -3.9228e-01],
- [ 2.6976e+00, 5.6391e-01, 5.0838e-02, ..., 1.6661e+00,
- 1.0276e-01, 1.3317e+00]],
-
- [[ 5.5406e-01, -1.6488e-01, 3.0448e-01, ..., -1.5304e-01,
- 2.9695e-01, 1.5742e-01],
- [ 8.8590e-01, 1.9934e+00, -4.9351e-01, ..., 4.6731e-01,
- -6.9227e-01, 1.0989e+00],
- [ 5.1395e-01, -6.7877e-01, -2.9647e-01, ..., 2.6873e-01,
- 7.9548e-02, 2.0569e-01],
+ [-0.5015, 0.0468, -0.1849, ..., -1.0117, -0.1791, 0.6410],
+ [ 2.2595, -0.2503, 1.5026, ..., 0.8074, 1.3218, -0.1660],
+ [-0.1300, 1.1919, -0.9453, ..., 0.4814, -0.4311, 0.0867]],
+
+ [[-0.5531, 0.2172, -0.9448, ..., 1.3996, -0.3410, 0.2527],
+ [-1.7508, -1.5427, -0.8826, ..., -0.0555, 0.6751, 0.9566],
+ [-1.1233, 0.3983, 0.4070, ..., 0.1890, 1.2714, -0.5081],
...,
- [-1.3172e-01, -8.4430e-01, -9.9921e-01, ..., -5.6814e-01,
- -1.4076e+00, -8.5655e-01],
- [ 7.2570e-01, 1.6004e+00, -2.9854e-01, ..., 6.1906e-01,
- 3.6921e-01, -1.8101e-01],
- [ 1.7580e+00, -9.9164e-01, 3.0394e-01, ..., -5.6825e-01,
- -4.8966e-01, 1.6101e+00]],
-
- [[-1.2084e+00, -4.2320e-02, 1.1760e+00, ..., 4.3386e-01,
- -3.8786e-01, -1.5466e+00],
- [-1.5818e-01, 8.6506e-01, 8.3264e-01, ..., 1.8696e+00,
- 1.5741e+00, -1.4714e+00],
- [ 9.5685e-01, 1.7397e+00, 8.3148e-02, ..., 6.5423e-01,
- 1.5899e+00, 1.3033e+00],
+ [-0.9843, 0.4838, -0.4766, ..., -0.6783, -0.0275, -0.4321],
+ [-1.8531, 0.9219, -0.5055, ..., -1.4940, 0.0080, 0.2755],
+ [ 0.2477, 2.5899, -0.6223, ..., -1.9839, 0.5137, -0.2218]],
+
+ [[-0.1162, 0.0054, 0.0817, ..., 1.1189, 1.5124, 1.1981],
+ [ 1.8819, -1.7642, 2.1730, ..., -0.4176, 0.0497, -0.6277],
+ [ 1.6625, -0.0855, -0.1250, ..., -0.4819, -1.7086, 1.8802],
...,
- [-2.8598e-01, 1.0021e+00, -1.0472e+00, ..., 3.2325e-01,
- 3.3894e-01, -1.8126e+00],
- [-1.0195e-01, 3.6268e-01, 2.1683e-01, ..., -1.0650e+00,
- 8.1815e-01, 7.4650e-01],
- [ 6.2920e-01, 1.6856e-01, -9.2301e-01, ..., -7.2704e-01,
- -1.0276e+00, 3.9468e-01]]]])}, 'action': tensor([[9],
- [8],
- [3],
- [9]]), 'reward': tensor([[0.3296],
- [0.1477],
- [0.3508],
- [0.3917]]), 'done': tensor([False, False, False, False])}
+ [ 0.8641, 0.4367, -0.6595, ..., -0.5170, -0.3613, -0.3455],
+ [-1.3627, -0.1878, -0.2712, ..., -1.4222, 0.1023, 1.6854],
+ [ 0.8076, -0.6989, -0.3333, ..., -0.1933, 0.7854, 0.8129]]]])}, 'action': tensor([[3],
+ [6],
+ [0],
+ [9]]), 'reward': tensor([[0.3525],
+ [0.1858],
+ [0.4925],
+ [0.2344]]), 'done': tensor([False, False, False, False])}
We can see that the structure process function need to be fully implemented (like the function stack). This code is actually not clear, and due to hard coding, if you need to support more data types (such as integer), you must make special modifications to the function.
<Tensor 0x7f13f0e37210>
-├── 'action' --> tensor([[3],
-│ [7],
+117
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+189<Tensor 0x7f8539f1a1d0>
+├── 'action' --> tensor([[2],
│ [3],
-│ [9]])
+│ [1],
+│ [5]])
├── 'done' --> tensor([False, False, False, False])
-├── 'obs' --> <Tensor 0x7f13efdc06d0>
-│ ├── 'image' --> tensor([[[[ 2.4881, -0.1853, -0.7154, ..., 0.7949, 0.6857, -0.3013],
-│ │ [-0.7274, -0.2669, 0.9505, ..., 0.5322, 0.3836, -2.1763],
-│ │ [ 0.4890, -0.4982, -0.5659, ..., -0.5302, -0.3036, -0.0058],
+├── 'obs' --> <Tensor 0x7f8539fe57d0>
+│ ├── 'image' --> tensor([[[[ 1.2168e+00, 8.7437e-01, -3.3717e-01, ..., 2.2433e-01,
+│ │ 1.8177e+00, 1.2661e+00],
+│ │ [-2.1072e+00, -1.1571e+00, -1.8256e+00, ..., 1.0312e+00,
+│ │ -3.7985e-01, 6.8918e-01],
+│ │ [ 5.6161e-01, -9.8372e-02, 9.4415e-01, ..., -9.8273e-01,
+│ │ -9.2160e-01, 1.1282e-01],
│ │ ...,
-│ │ [ 1.3096, -0.4469, 0.2232, ..., -0.7016, 1.3133, -0.6559],
-│ │ [ 0.5160, -0.2478, 0.3346, ..., -0.9031, 2.3462, -0.2419],
-│ │ [-0.3753, -1.2653, -1.0889, ..., -0.7787, 0.7852, -0.0845]],
+│ │ [ 2.6157e-01, 5.9370e-01, 1.2491e+00, ..., 8.7067e-01,
+│ │ -1.4345e+00, -1.1350e+00],
+│ │ [-6.5175e-01, -1.8690e+00, -1.1095e-02, ..., 2.4466e-01,
+│ │ -8.4608e-01, 2.1989e+00],
+│ │ [-6.0080e-01, 1.2483e+00, 9.4232e-01, ..., -1.3624e+00,
+│ │ -7.8833e-01, 1.0116e+00]],
│ │
-│ │ [[-0.1802, -1.3085, -0.1888, ..., -1.2453, 1.7506, 0.8249],
-│ │ [ 0.6250, -0.0406, 0.3707, ..., 0.7596, -1.8137, -1.4212],
-│ │ [-0.6441, 0.9861, -0.2488, ..., -0.4653, -0.2634, 0.9858],
+│ │ [[-3.6417e-01, 3.3641e-01, -4.1055e-01, ..., -3.3307e-01,
+│ │ -6.2693e-01, -1.2162e-02],
+│ │ [ 4.5835e-01, 1.9713e+00, -1.0841e-01, ..., 4.8394e-01,
+│ │ 1.2502e+00, 1.3077e-01],
+│ │ [ 1.9158e+00, -1.2648e+00, -7.8886e-02, ..., 1.0023e-01,
+│ │ -8.8869e-01, -2.1993e+00],
│ │ ...,
-│ │ [ 0.0904, 0.7361, -0.3852, ..., -0.4615, -0.5902, 1.1349],
-│ │ [-0.2574, 2.3180, 0.6887, ..., -0.5958, 0.8039, 0.2979],
-│ │ [-0.5205, 0.4573, -0.2317, ..., 1.9380, -1.1181, -0.1545]],
+│ │ [ 3.1215e-01, -8.0766e-01, 4.9914e-01, ..., 8.6956e-01,
+│ │ -8.4990e-01, 7.3424e-01],
+│ │ [-3.6468e-01, -3.4503e-01, -8.0471e-01, ..., -3.7948e-01,
+│ │ 1.9878e-02, 1.3738e+00],
+│ │ [-1.1515e+00, 3.9309e-01, -2.3250e+00, ..., -1.4146e-01,
+│ │ 9.6531e-03, 3.8886e-01]],
│ │
-│ │ [[ 0.2321, 1.5943, -1.7597, ..., -0.7920, -0.1516, 0.4563],
-│ │ [ 0.2508, -1.3533, -1.4274, ..., 0.8556, -0.2800, -0.8475],
-│ │ [ 0.1634, -1.1841, 1.0161, ..., 0.3607, 0.5201, 0.6733],
+│ │ [[-2.9264e-01, -1.1358e+00, 3.1611e-01, ..., 1.5488e-01,
+│ │ -1.5524e+00, -4.9734e-01],
+│ │ [ 1.5022e+00, -9.4157e-01, -1.4177e-01, ..., -1.8941e+00,
+│ │ -6.3872e-01, 5.5027e-01],
+│ │ [-2.1087e+00, -7.1470e-01, -1.2361e+00, ..., -1.4941e+00,
+│ │ 1.1383e-01, -4.3564e-01],
│ │ ...,
-│ │ [ 0.8386, -0.2865, 0.5135, ..., 0.1715, -0.8330, 0.2625],
-│ │ [ 0.0874, 0.6106, 0.1670, ..., -0.5694, 1.1811, 2.3474],
-│ │ [-2.6655, -0.1672, -0.3621, ..., 1.2434, -2.3784, 0.0587]]],
+│ │ [ 1.7096e+00, -3.0535e-01, 1.1265e+00, ..., -1.0838e+00,
+│ │ -6.3271e-01, -4.0431e-01],
+│ │ [-6.9757e-01, 1.8251e+00, -7.4504e-02, ..., -4.0473e-01,
+│ │ 8.6999e-01, -2.0353e-01],
+│ │ [-1.0677e-01, 1.0623e+00, -8.4192e-01, ..., -6.9318e-02,
+│ │ -9.2520e-01, -1.0771e+00]]],
│ │
│ │
-│ │ [[[-1.7522, 0.1846, 0.0642, ..., 1.8397, 0.5487, 1.3674],
-│ │ [-0.5413, 0.9707, 0.7802, ..., -0.8516, 0.1792, 0.2827],
-│ │ [-0.0321, -1.1852, -0.1751, ..., -0.3942, -1.1335, -0.0323],
+│ │ [[[-6.3709e-01, -2.4909e-01, 2.5240e+00, ..., -1.0324e+00,
+│ │ -8.0158e-01, 2.0310e-01],
+│ │ [ 7.7252e-01, 4.8402e-01, 1.0926e+00, ..., -1.1752e+00,
+│ │ -1.4670e+00, -1.4930e+00],
+│ │ [-1.2109e-01, 6.6674e-01, 4.7023e-01, ..., -7.1721e-01,
+│ │ -1.7280e-01, -3.9722e-01],
│ │ ...,
-│ │ [-2.0005, -0.3834, 0.2441, ..., 0.1839, -0.2928, 0.4533],
-│ │ [ 0.1955, 1.4283, -1.4033, ..., 0.5312, 1.2761, -1.6324],
-│ │ [-0.9234, -0.3269, -0.5930, ..., 1.4301, -0.7796, -1.1027]],
+│ │ [-2.5183e-01, 2.0069e+00, 2.1095e-01, ..., 1.2891e+00,
+│ │ 7.9062e-01, -4.0161e-01],
+│ │ [ 7.9341e-01, 6.2408e-01, -2.9520e-01, ..., -2.4023e+00,
+│ │ 1.0149e+00, 2.2318e-01],
+│ │ [-2.0540e+00, 4.2291e-01, 6.4070e-01, ..., -6.8152e-01,
+│ │ -7.6500e-01, -9.8338e-01]],
│ │
-│ │ [[ 0.8722, -0.6781, 0.8069, ..., -0.4922, 0.3598, 0.4274],
-│ │ [ 0.4492, -0.1134, -1.5614, ..., -0.7840, 0.9890, 0.7405],
-│ │ [ 1.1519, 0.4984, 0.8368, ..., -1.7099, -0.1808, 0.1888],
+│ │ [[-4.1555e-01, 2.8685e-01, -2.2813e-01, ..., 2.1935e+00,
+│ │ 2.1965e+00, 1.9112e+00],
+│ │ [ 1.1763e+00, -5.7450e-01, -5.0435e-01, ..., 5.3520e-01,
+│ │ 8.0343e-01, -2.7594e-01],
+│ │ [ 7.7469e-01, -2.6940e-01, 2.9847e-01, ..., 4.3875e-01,
+│ │ -1.8228e-02, 4.7121e-01],
│ │ ...,
-│ │ [-0.2686, -0.4152, -1.5339, ..., 0.2538, 0.4725, 1.0495],
-│ │ [ 0.0436, -0.0531, -0.2259, ..., 0.3542, 0.4656, -0.1404],
-│ │ [-1.5070, -1.5536, -1.1780, ..., 1.6517, 1.1111, 1.2148]],
+│ │ [ 1.9087e+00, 1.7628e+00, -1.4096e-01, ..., 1.2434e+00,
+│ │ -4.2741e-01, -3.6054e-01],
+│ │ [-2.2202e-02, 1.0946e+00, 3.2664e-01, ..., -2.0065e+00,
+│ │ 5.9907e-01, 3.0173e-01],
+│ │ [-5.9453e-01, -1.9405e-01, 1.2065e+00, ..., 2.4634e+00,
+│ │ 1.0467e+00, -6.9372e-01]],
│ │
-│ │ [[-1.6960, 1.5516, 0.8384, ..., 0.0477, -0.2655, -0.1918],
-│ │ [-0.0640, -0.2141, -0.3878, ..., 0.4055, -0.4174, -0.1463],
-│ │ [-0.6990, 0.3874, 0.7452, ..., 0.2319, 0.0539, -0.3006],
+│ │ [[-2.7744e-01, 9.4201e-01, 1.3316e-01, ..., -1.2406e+00,
+│ │ 3.2596e-01, -4.7632e-01],
+│ │ [-1.1137e+00, 7.3350e-02, 1.5869e+00, ..., -1.3377e+00,
+│ │ -8.4474e-01, 3.8048e-02],
+│ │ [ 1.2855e-01, -6.4475e-01, 1.0080e+00, ..., -2.4470e-01,
+│ │ 4.8218e-01, 3.4270e-01],
│ │ ...,
-│ │ [-1.0585, -0.3878, 1.2526, ..., 0.4255, 1.4542, 0.3176],
-│ │ [-0.5208, -0.9438, -1.0727, ..., 0.0836, 1.0102, 0.2343],
-│ │ [-1.4856, -0.5049, 1.0454, ..., 0.5106, 0.0656, 0.3112]]],
+│ │ [ 1.1825e+00, -1.0081e+00, -2.4115e-01, ..., -4.1392e-01,
+│ │ -7.1248e-02, 1.2665e+00],
+│ │ [-7.5889e-01, 6.0379e-01, -9.3334e-01, ..., -1.9538e-01,
+│ │ 8.4098e-01, 9.8920e-01],
+│ │ [-3.9766e-01, -2.2111e-01, -1.1178e+00, ..., 1.3047e+00,
+│ │ 7.7818e-01, 2.8376e+00]]],
│ │
│ │
-│ │ [[[-1.5617, 0.0607, -0.2911, ..., -2.0246, -0.5563, -0.9042],
-│ │ [-0.3759, -1.5349, 0.1313, ..., -1.3842, 0.9680, -0.1131],
-│ │ [-0.0452, 0.0460, 1.0616, ..., -2.3352, 0.1179, 0.5234],
+│ │ [[[-3.3006e-01, -3.4242e-01, 6.8940e-01, ..., 1.7726e-02,
+│ │ -7.3719e-01, -1.1770e+00],
+│ │ [-1.8863e+00, -1.4158e+00, 2.3139e-01, ..., -2.3368e+00,
+│ │ -2.7881e+00, -2.3414e-01],
+│ │ [-5.6360e-02, -2.8109e-01, -1.3370e+00, ..., -1.1683e+00,
+│ │ 9.5294e-01, 3.0190e-01],
│ │ ...,
-│ │ [-0.2871, 0.5894, -0.1861, ..., -1.0552, 0.8200, 1.9762],
-│ │ [ 0.0091, -0.8958, -0.4495, ..., 0.9627, -0.7669, -0.0237],
-│ │ [ 0.9994, -1.1580, 0.3661, ..., -0.1204, -0.3555, -2.5416]],
+│ │ [-2.1558e+00, 8.1492e-01, 1.2203e+00, ..., -3.0375e-01,
+│ │ 1.0519e+00, 1.7804e+00],
+│ │ [-6.1582e-02, 1.2398e-01, -5.0276e-01, ..., -1.2080e+00,
+│ │ -3.5659e-01, 1.4463e+00],
+│ │ [ 5.9921e-01, 4.5602e-01, -1.6068e+00, ..., 7.7716e-01,
+│ │ 4.3233e-01, 1.7532e+00]],
│ │
-│ │ [[ 0.4101, -0.7908, -0.6937, ..., -1.1804, 0.2627, -0.6140],
-│ │ [-0.4547, -0.0907, -1.7861, ..., 0.3758, -0.4464, 1.2475],
-│ │ [-1.7114, 1.2200, 3.1343, ..., -1.5002, -0.0303, 0.3433],
+│ │ [[-1.0177e+00, -7.5797e-01, -7.2998e-01, ..., -1.8217e-01,
+│ │ -7.2224e-01, -1.8053e-01],
+│ │ [-4.9614e-01, 2.3194e-01, 1.9611e-01, ..., -1.5149e+00,
+│ │ 2.0283e+00, -6.9806e-01],
+│ │ [-1.2259e+00, -7.6081e-02, -3.0868e-01, ..., 5.8242e-02,
+│ │ 1.0188e-02, 1.5961e+00],
│ │ ...,
-│ │ [-0.7027, 0.0253, 0.3101, ..., 1.0595, 0.5076, 0.2852],
-│ │ [ 1.3685, 0.2835, 0.5208, ..., 1.2657, 0.5447, 0.6595],
-│ │ [-1.6025, -0.1248, 1.8797, ..., -0.9675, -0.9579, -0.3820]],
+│ │ [-3.0285e-02, 6.3923e-01, 1.0487e+00, ..., -2.8479e-01,
+│ │ -1.2548e+00, 1.8436e-01],
+│ │ [ 1.2875e+00, 6.2906e-01, 3.0577e-01, ..., 2.4691e+00,
+│ │ -6.5137e-01, 8.4801e-01],
+│ │ [ 6.5956e-01, 1.0597e+00, 2.2506e-02, ..., -1.2582e+00,
+│ │ 2.1782e+00, -1.6721e-03]],
│ │
-│ │ [[-0.6991, -0.8732, -0.1737, ..., -0.7907, -0.8148, 0.4873],
-│ │ [ 0.5000, 0.4770, 1.7276, ..., 1.2033, 1.0986, -0.9507],
-│ │ [ 0.0479, -0.4187, 0.7115, ..., 0.8395, 0.7287, -0.5601],
+│ │ [[-7.2474e-01, -1.4177e-01, 1.5249e+00, ..., -1.3584e+00,
+│ │ 8.1624e-01, -1.8533e-01],
+│ │ [-1.1278e-01, -1.4202e+00, 7.2608e-01, ..., -1.9474e-01,
+│ │ 2.1309e+00, 7.2510e-01],
+│ │ [-4.9140e-01, -3.2290e-01, -1.3103e-01, ..., 5.3699e-01,
+│ │ 4.4498e-02, 5.3963e-01],
│ │ ...,
-│ │ [ 0.0997, 0.0599, -1.4333, ..., 1.0288, 0.4061, -0.3102],
-│ │ [-0.1346, 0.5149, 0.1073, ..., -0.0967, -0.6245, 0.1497],
-│ │ [-1.1637, -0.0485, -2.2526, ..., -1.1154, -0.5083, -0.2445]]],
+│ │ [ 7.6810e-01, -9.3472e-01, -5.4973e-01, ..., -7.8436e-01,
+│ │ -9.5340e-01, -2.1448e+00],
+│ │ [ 1.5127e+00, -3.7644e-01, -1.2797e+00, ..., 4.2324e-01,
+│ │ 2.5407e-01, 1.6718e+00],
+│ │ [-3.6635e-01, -9.4408e-01, 2.7000e+00, ..., -7.2469e-01,
+│ │ -1.3164e-01, -5.9494e-01]]],
│ │
│ │
-│ │ [[[ 0.8048, 0.7395, -0.3589, ..., -0.4873, -1.2412, 0.4977],
-│ │ [-1.1785, -0.4646, 0.2046, ..., -0.7180, -1.1085, -0.1771],
-│ │ [ 1.5428, 0.2937, 0.2075, ..., -0.1378, -0.5021, -0.1542],
+│ │ [[[ 9.7105e-01, 1.2046e+00, 5.7983e-01, ..., -8.9871e-01,
+│ │ 4.2931e-02, 5.7127e-01],
+│ │ [-6.3015e-01, 1.6543e+00, -5.8973e-01, ..., 7.1929e-01,
+│ │ 9.0182e-01, 4.7568e-01],
+│ │ [-1.1639e+00, -2.7417e-01, -6.1239e-01, ..., -3.9678e-02,
+│ │ -1.9966e+00, -1.6480e+00],
│ │ ...,
-│ │ [-0.2415, -0.4223, -1.3755, ..., 1.0132, 0.9257, -0.2450],
-│ │ [-0.7795, 0.0513, 0.3491, ..., -0.8904, -0.4299, -1.1420],
-│ │ [ 1.5702, 1.1622, -0.2732, ..., -0.6696, -1.5986, 0.2573]],
+│ │ [ 2.0435e+00, -9.6928e-01, -5.9921e-01, ..., -3.9802e-01,
+│ │ -1.3670e+00, 4.8052e-01],
+│ │ [-1.9710e-01, 8.4816e-02, 1.1794e+00, ..., 1.0393e+00,
+│ │ -1.7880e+00, -6.3215e-01],
+│ │ [ 6.8477e-01, 3.8061e-01, -3.7239e-01, ..., -1.1344e+00,
+│ │ -6.8222e-01, 4.7666e-01]],
│ │
-│ │ [[-0.7028, 0.4499, 1.3077, ..., 2.0576, 1.0810, 1.6313],
-│ │ [-0.7885, 0.0184, -0.3547, ..., 0.1073, -0.0703, -0.6029],
-│ │ [ 1.7131, 0.1155, -0.3729, ..., 0.7098, 1.3278, -0.5077],
+│ │ [[-9.2566e-01, 3.1298e-01, -2.5010e-01, ..., 7.8453e-01,
+│ │ -4.6864e-01, -3.4059e-01],
+│ │ [ 1.5395e+00, -5.2411e-01, 5.4121e-01, ..., -2.3884e-01,
+│ │ -1.7016e+00, -1.6271e+00],
+│ │ [-1.5584e+00, 1.2818e+00, -8.0218e-02, ..., -1.8602e+00,
+│ │ 5.9627e-01, 6.2867e-01],
│ │ ...,
-│ │ [ 0.2323, -1.2635, 0.5015, ..., 0.0575, -0.9129, 1.0857],
-│ │ [ 0.8252, 0.0059, 0.5750, ..., -1.0572, -0.4748, 2.2606],
-│ │ [ 1.4723, 0.1803, 0.7239, ..., -0.0072, 0.8075, 0.9624]],
+│ │ [ 4.6872e-01, -7.3190e-01, -1.1470e+00, ..., 9.5895e-01,
+│ │ -1.6151e+00, -3.6292e-01],
+│ │ [-6.7588e-01, -1.0945e+00, -3.2013e-01, ..., 8.6302e-01,
+│ │ 1.0002e+00, 2.1109e-01],
+│ │ [-4.6730e-01, -7.2974e-01, -1.0955e+00, ..., -1.5009e+00,
+│ │ -7.0819e-01, -1.3132e+00]],
│ │
-│ │ [[ 1.2237, 0.0447, 0.8443, ..., 0.4935, 0.2692, -1.2706],
-│ │ [-0.1373, -1.8035, 0.6865, ..., -0.3022, 0.0583, 0.1536],
-│ │ [ 1.1740, 1.5801, 1.6501, ..., 0.0997, -1.0309, -0.7588],
+│ │ [[-4.1607e-01, 7.3211e-01, -6.3275e-01, ..., 5.5516e-03,
+│ │ -4.6761e-01, 1.1019e+00],
+│ │ [ 2.7743e-01, -5.1844e-01, 2.4854e+00, ..., 5.1379e-02,
+│ │ 9.0116e-01, 3.2888e-01],
+│ │ [-1.7649e+00, -1.9251e+00, 1.6703e+00, ..., 5.6503e-01,
+│ │ 8.4432e-01, -1.7908e+00],
│ │ ...,
-│ │ [-1.2040, 0.3411, -0.6356, ..., -1.6652, -0.7284, -0.7721],
-│ │ [ 1.2092, 0.1170, -2.8062, ..., -0.2883, 0.2031, 1.3664],
-│ │ [ 0.9661, -2.3927, -0.9848, ..., 0.1890, -1.7256, -1.1095]]]])
-│ └── 'scalar' --> tensor([[ 0.2326, 0.1962, 1.1729, -0.8031, 1.1231, 0.0161, 1.3729, 0.5922,
-│ -0.9336, -0.2573, -1.0865, -0.4087],
-│ [-2.2097, -0.7025, 0.8515, -1.2345, 0.5046, 1.2728, -0.2872, -1.8117,
-│ 0.6453, 0.2192, 0.1091, 0.9144],
-│ [-0.7862, 0.0389, 0.4874, -0.1255, -0.2470, 1.2526, -0.2310, -0.4183,
-│ 0.9710, 1.9211, -0.8967, -0.0693],
-│ [-2.0876, 0.2346, -0.6472, -0.7686, -1.2192, -1.3370, -1.7760, 0.8505,
-│ 0.8278, -1.7262, -0.5925, -0.0386]])
-└── 'reward' --> tensor([[0.8324],
- [0.3809],
- [0.5829],
- [0.5303]])
+│ │ [ 1.5184e+00, 4.5929e-01, 8.6568e-01, ..., 6.6060e-02,
+│ │ -9.4168e-01, 8.8908e-01],
+│ │ [-1.2716e+00, -2.3968e-01, 3.3517e-01, ..., -8.7522e-01,
+│ │ -1.9100e+00, -6.1351e-01],
+│ │ [-1.1308e+00, -2.3198e+00, 1.6489e+00, ..., 2.1189e+00,
+│ │ 6.7769e-02, -7.7193e-02]]]])
+│ └── 'scalar' --> tensor([[ 0.3201, -0.4121, -1.4494, -0.1871, 0.3082, 0.0222, 2.3119, -0.2475,
+│ -0.1940, 0.6835, 0.3905, 0.3197],
+│ [-1.6898, 0.7824, 1.1955, 1.7084, 0.1520, -0.4441, -1.0861, 0.1907,
+│ -1.7066, -1.1183, 0.3689, 1.0527],
+│ [ 0.9031, -1.8284, 0.2673, 1.0029, -0.6018, 1.0315, 1.9379, 0.1543,
+│ -0.2087, -1.6109, -2.5278, 0.1550],
+│ [-0.9061, 1.1138, -0.5321, -0.0090, 1.3991, 0.5769, -0.5760, 0.0568,
+│ 0.9450, -0.0423, -0.4109, 0.1859]])
+└── 'reward' --> tensor([[0.3328],
+ [0.9454],
+ [0.3694],
+ [0.0955]])
This code looks much simpler and clearer.
diff --git a/main/searchindex.js b/main/searchindex.js index 12bcd0be6694d8c408d07dcc6c9fe404f741e244..14a100d9dc35c8fbc56fff995e68a1fb89ff2be4 100644 --- a/main/searchindex.js +++ b/main/searchindex.js @@ -1 +1 @@ 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2,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],itself:[16,17],just:[46,184],keep:189,keepdim:[6,7,16,17,61,62,63,69,88,90,114,115,151,152,153,159,179,182],kei:[109,194,195],keyword:[6,7,8,9,11,13,15,16,17,18,20,21,23,24,26,29,30,31,32,33,34,35,36,37,40,42,43,44,45,46,47,48,49,50,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,77,78,80,82,83,84,86,87,88,89,90,91,92,93,94,95,99,100,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwarg:[1,6,7,8,9,11,13,15,16,17,18,20,21,23,24,25,26,29,30,31,32,33,34,36,37,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,83,84,86,87,88,89,90,91,94,95,97,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwreduc:0,kws:191,largest:40,last:[6,7,23,83],layout:[8,32,33,42,43,70,71,73,74,75,76,94,95],lceil:21,lead:86,leaf:[91,126],least:60,leav:86,left:[6,7,21,40],len:[62,83,90,194],length:[11,46],leq:[47,51],less:[11,40,51,58],less_equ:11,let:[24,165],lfloor:40,like:[8,30,32,33,43,46,70,71,75,76,94,95,184,194,195,199],linalg:69,linesep:199,linspac:24,list:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],littl:105,loaded_weight:165,locat:[11,61,63],log10:[19,54,96,116,145,188],log10_:[19,96,116,188],log2:[19,56,96,116,147,188],log2_:[19,96,116,188],log:[19,36,57,96,116,148,188],log_:[19,52,53,55,96,116,188],logarithm:[52,53,55],logic:[6,7,60],longtensor:[46,93],look:[60,195],low:[73,74],lower:24,lowest:[73,74],lvert:47,made:8,mai:[6,7,69,77,125],main:[165,197],mainli:189,major:8,make:[77,126,165,195],mapper:191,mark:193,mask:[59,149],masked_select:[19,96,116,188],mat1:64,mat2:[64,154],mat:8,match:[16,17,59,183],math:[36,47],mathcal:75,mathemat:69,matmul:[19,64,96,116,188],matric:64,matrix:[8,60,64,69],matrix_norm:69,max:[19,24,25,96,116,120,121,188,194],max_indic:61,max_valu:24,maxim:61,maximum:61,mean0:194,mean1:194,mean:[19,75,76,96,116,137,188,194],mean_b:194,mean_b_list:194,meet:8,member:189,memori:[8,26,32,33,43,71,74,76,91,95,123,124,183],memory_format:[26,32,33,43,71,74,76,95,122,123,124,183],meta:[4,196,197],metaclass:2,meth:[178,186],method:[6,7,8,100,109,125,126,166],min:[19,24,25,96,116,120,121,188],min_indic:63,min_valu:24,minim:63,minimum:[8,63],mode:[125,126],modif:[125,195],modifi:2,modul:[193,196],module_autoremov:192,moduletyp:193,more:[6,7,8,69,195],most:8,move:184,much:[194,195],mul:[19,96,116,156,188],mul_:[96,116,188],multipl:[6,7,60,61,63,64],multipli:[15,60,64,65,89],multiplicand:65,must:[6,7,11,15,20,29,31,59,60,65,69,72,93,112,195],myclass:193,name:[109,189],namedtupl:[61,63],nan:[6,7,9,47,48,49,50,52,53,54,55,56,57,84,85],nativ:[105,194,196,199],natur:52,ndarrai:[6,7,8,11,18,91,161],ndmin:8,necessari:[46,184],necessarili:8,need:[8,46,59,87,109,195],neg:[6,7,19,48,49,68,92,96,116,158,188],neg_:[19,96,116,188],neither:[8,69],neq:66,nest:[8,184,198],never:[125,126],newest:197,newli:8,nois:194,non:[6,7,20,60,66],non_block:[124,183],none:[3,6,7,8,11,13,15,16,17,18,20,21,24,30,31,32,33,34,36,37,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,84,86,87,88,89,90,91,94,95,100,114,115,120,121,124,128,129,151,152,153,159,177,178,179,182,183],nonfinit:47,nonzero:93,nor:[8,69],norm:[19,29,96,116,188],normal:[75,76],not_equ:11,note:[11,60,69,125],now:[7,125,165],nuc:69,nuclear:69,number:[6,7,8,11,15,23,24,30,31,32,34,43,44,45,46,51,58,65,66,69,70,72,73,74,75,76,77,87,94,99,166,184],numel:[96,98,116,188],numpi:[1,16,17,18,30,31,91,96,97,99,100,101,116,188,196],obei:[75,76],obj:[8,109,193],object:[0,2,6,7,8,11,99,100,101,105,123,124,164,184,193,196,198],obs:195,obtain:165,occur:69,occurr:99,often:195,old:[71,95],one:[6,7,8,11,60,69,77,86,92,125],ones:[8,11,19,32,42,71,74,76,93,96],ones_lik:[8,19,33,43,96],onli:[8,11,31,32,47,60,69,77,86,91],onto:2,opendilab:197,oper:[11,20,26,30,32,33,42,43,60,64,69,70,71,72,73,74,75,76,86,90,91,93,94,95,165,184,196,198],operatornam:82,option:[6,7,8,11,13,15,16,17,18,20,21,24,26,29,30,32,33,34,36,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,91,94,95,123,124,183],ord:69,order:[8,11,69],origin:[11,26,46,59,83,97,105,123,124,125,183],other:[8,11,15,18,29,30,31,34,35,44,45,46,47,51,58,60,61,63,65,66,86,89,91,102,103,104,106,107,108,112,113,127,128,129,130,139,155,156,180,181,183],otherwis:[8,9,15,16,17,18,35,61,62,63,65,77,88,90,93,124,183],out:[6,7,8,11,13,15,16,17,20,21,24,30,31,32,34,36,37,40,42,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,75,78,80,82,84,86,87,88,89,91,93,94,95,165,197],output:[6,7,11,13,15,16,17,20,21,24,30,32,33,34,36,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,94,95,194,195,198,199],over:[6,7,11,20,62,90],overflow:90,overview:[1,2,5,109,193],p_object:8,packag:[5,198],paramet:60,part:[48,49,50,193],partial:199,pass:[6,7,8,11,91,193,194,195],pend:8,pep8:198,perform:[6,7,18,30,64,69,90,123,124,183],pin:[32,91,124,183],pin_memori:[32,91],pip:[197,198],piter:3,place:[6,7,14,22,25,28,38,39,41,54,56,57,68,79,81,85,111,113,118,121,125,126,129,133,134,136,145,147,148,156,158,163,165,168,171,173,176,178,181,186],pleas:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],plugin:196,point:69,posit:[6,7,49,92],possibl:[11,77,83,166,183],potc:196,pow:[19,96,116,163,165,188,194],pow_:[96,116,188],power:[72,197],practic:196,pre:8,prepend:60,preprocess:165,present:100,preserv:[6,7,8],preserve_format:[26,33,43,71,74,76,95,122,123,124,183],prevent:90,previous:125,print:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,194,195,197,198,199],print_tre:0,process:195,produc:[61,63,69],product:[31,60,64],project:5,promot:[30,89],properli:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],properti:[109,137,164,169],protect:109,protocol:8,provid:[8,11,20,109],pseudorandom:[73,75],purpos:60,pypi:197,python:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,197],pytorch:[13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,196],quick:196,rais:[6,7,100,195],rand:[16,17,53,55,194,195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71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],itself:[16,17],just:[46,184],keep:189,keepdim:[6,7,16,17,61,62,63,69,88,90,114,115,151,152,153,159,179,182],kei:[109,194,195],keyword:[6,7,8,9,11,13,15,16,17,18,20,21,23,24,26,29,30,31,32,33,34,35,36,37,40,42,43,44,45,46,47,48,49,50,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,77,78,80,82,83,84,86,87,88,89,90,91,92,93,94,95,99,100,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwarg:[1,6,7,8,9,11,13,15,16,17,18,20,21,23,24,25,26,29,30,31,32,33,34,36,37,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,83,84,86,87,88,89,90,91,94,95,97,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwreduc:0,kws:191,largest:40,last:[6,7,23,83],layout:[8,32,33,42,43,70,71,73,74,75,76,94,95],lceil:21,lead:86,leaf:[91,126],least:60,leav:86,left:[6,7,21,40],len:[62,83,90,194],length:[11,46],leq:[47,51],less:[11,40,51,58],less_equ:11,let:[24,165],lfloor:40,like:[8,30,32,33,43,46,70,71,75,76,94,95,184,194,195,199],linalg:69,linesep:199,linspac:24,list:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],littl:105,loaded_weight:165,locat:[11,61,63],log10:[19,54,96,116,145,188],log10_:[19,96,116,188],log2:[19,56,96,116,147,188],log2_:[19,96,116,188],log:[19,36,57,96,116,148,188],log_:[19,52,53,55,96,116,188],logarithm:[52,53,55],logic:[6,7,60],longtensor:[46,93],look:[60,195],low:[73,74],lower:24,lowest:[73,74],lvert:47,made:8,mai:[6,7,69,77,125],main:[165,197],mainli:189,major:8,make:[77,126,165,195],mapper:191,mark:193,mask:[59,149],masked_select:[19,96,116,188],mat1:64,mat2:[64,154],mat:8,match:[16,17,59,183],math:[36,47],mathcal:75,mathemat:69,matmul:[19,64,96,116,188],matric:64,matrix:[8,60,64,69],matrix_norm:69,max:[19,24,25,96,116,120,121,188,194],max_indic:61,max_valu:24,maxim:61,maximum:61,mean0:194,mean1:194,mean:[19,75,76,96,116,137,188,194],mean_b:194,mean_b_list:194,meet:8,member:189,memori:[8,26,32,33,43,71,74,76,91,95,123,124,183],memory_format:[26,32,33,43,71,74,76,95,122,123,124,183],meta:[4,196,197],metaclass:2,meth:[178,186],method:[6,7,8,100,109,125,126,166],min:[19,24,25,96,116,120,121,188],min_indic:63,min_valu:24,minim:63,minimum:[8,63],mode:[125,126],modif:[125,195],modifi:2,modul:[193,196],module_autoremov:192,moduletyp:193,more:[6,7,8,69,195],most:8,move:184,much:[194,195],mul:[19,96,116,156,188],mul_:[96,116,188],multipl:[6,7,60,61,63,64],multipli:[15,60,64,65,89],multiplicand:65,must:[6,7,11,15,20,29,31,59,60,65,69,72,93,112,195],myclass:193,name:[109,189],namedtupl:[61,63],nan:[6,7,9,47,48,49,50,52,53,54,55,56,57,84,85],nativ:[105,194,196,199],natur:52,ndarrai:[6,7,8,11,18,91,161],ndmin:8,necessari:[46,184],necessarili:8,need:[8,46,59,87,109,195],neg:[6,7,19,48,49,68,92,96,116,158,188],neg_:[19,96,116,188],neither:[8,69],neq:66,nest:[8,184,198],never:[125,126],newest:197,newli:8,nois:194,non:[6,7,20,60,66],non_block:[124,183],none:[3,6,7,8,11,13,15,16,17,18,20,21,24,30,31,32,33,34,36,37,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,84,86,87,88,89,90,91,94,95,100,114,115,120,121,124,128,129,151,152,153,159,177,178,179,182,183],nonfinit:47,nonzero:93,nor:[8,69],norm:[19,29,96,116,188],normal:[75,76],not_equ:11,note:[11,60,69,125],now:[7,125,165],nuc:69,nuclear:69,number:[6,7,8,11,15,23,24,30,31,32,34,43,44,45,46,51,58,65,66,69,70,72,73,74,75,76,77,87,94,99,166,184],numel:[96,98,116,188],numpi:[1,16,17,18,30,31,91,96,97,99,100,101,116,188,196],obei:[75,76],obj:[8,109,193],object:[0,2,6,7,8,11,99,100,101,105,123,124,164,184,193,196,198],obs:195,obtain:165,occur:69,occurr:99,often:195,old:[71,95],one:[6,7,8,11,60,69,77,86,92,125],ones:[8,11,19,32,42,71,74,76,93,96],ones_lik:[8,19,33,43,96],onli:[8,11,31,32,47,60,69,77,86,91],onto:2,opendilab:197,oper:[11,20,26,30,32,33,42,43,60,64,69,70,71,72,73,74,75,76,86,90,91,93,94,95,165,184,196,198],operatornam:82,option:[6,7,8,11,13,15,16,17,18,20,21,24,26,29,30,32,33,34,36,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,91,94,95,123,124,183],ord:69,order:[8,11,69],origin:[11,26,46,59,83,97,105,123,124,125,183],other:[8,11,15,18,29,30,31,34,35,44,45,46,47,51,58,60,61,63,65,66,86,89,91,102,103,104,106,107,108,112,113,127,128,129,130,139,155,156,180,181,183],otherwis:[8,9,15,16,17,18,35,61,62,63,65,77,88,90,93,124,183],out:[6,7,8,11,13,15,16,17,20,21,24,30,31,32,34,36,37,40,42,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,75,78,80,82,84,86,87,88,89,91,93,94,95,165,197],output:[6,7,11,13,15,16,17,20,21,24,30,32,33,34,36,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,94,95,194,195,198,199],over:[6,7,11,20,62,90],overflow:90,overview:[1,2,5,109,193],p_object:8,packag:[5,198],paramet:60,part:[48,49,50,193],partial:199,pass:[6,7,8,11,91,193,194,195],pend:8,pep8:198,perform:[6,7,18,30,64,69,90,123,124,183],pin:[32,91,124,183],pin_memori:[32,91],pip:[197,198],piter:3,place:[6,7,14,22,25,28,38,39,41,54,56,57,68,79,81,85,111,113,118,121,125,126,129,133,134,136,145,147,148,156,158,163,165,168,171,173,176,178,181,186],pleas:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],plugin:196,point:69,posit:[6,7,49,92],possibl:[11,77,83,166,183],potc:196,pow:[19,96,116,163,165,188,194],pow_:[96,116,188],power:[72,197],practic:196,pre:8,prepend:60,preprocess:165,present:100,preserv:[6,7,8],preserve_format:[26,33,43,71,74,76,95,122,123,124,183],prevent:90,previous:125,print:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,194,195,197,198,199],print_tre:0,process:195,produc:[61,63,69],product:[31,60,64],project:5,promot:[30,89],properli:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],properti:[109,137,164,169],protect:109,protocol:8,provid:[8,11,20,109],pseudorandom:[73,75],purpos:60,pypi:197,python:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,197],pytorch:[13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,196],quick:196,rais:[6,7,100,195],rand:[16,17,53,55,194,195],randint:[19,20,23,83,86,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\ No newline at end of file diff --git a/main/tutorials/plugins/index.html b/main/tutorials/plugins/index.html index f7c5d0940f57335ba6c00d0a784c7d8b5ad6915b..6cb467e53ec0448595bb0771e563e4952755ed66 100644 --- a/main/tutorials/plugins/index.html +++ b/main/tutorials/plugins/index.html @@ -264,33 +264,33 @@ from treetensor.torch import Size __all__ = ['t_i_tensor', 't_shape', 't_tensor'] t_i_tensor = Tensor({ 'x': { - 'b': torch.as_tensor([[9, 0, 6], [8, -5, 6]], dtype=torch.long) + 'b': torch.as_tensor([[4, 8, 1], [0, -2, 9]], dtype=torch.long) }, 'a': - torch.as_tensor([[-3, 6, 1, -3], [3, -2, 9, 2], [-3, -4, -1, 1]], + torch.as_tensor([[0, 0, 5, -3], [-3, 2, -5, 4], [3, 1, 1, -3]], dtype=torch.long) }) t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])}) t_tensor = Tensor({ - 'a': - torch.as_tensor( - [[0.8990961909294128, 0.6030687093734741, 0.4394964277744293], - [0.057630542665719986, -0.7822966575622559, -1.3508071899414062]], - dtype=torch.float32), 'b': torch.as_tensor([[ - -0.007812147494405508, -0.671109139919281, -0.27974098920822144, - 0.35035035014152527 + -0.5461564660072327, -0.498605877161026, 0.14331494271755219, + 0.19656071066856384 ], [ - 1.9859111309051514, -1.9423213005065918, - -0.41288402676582336, -0.825578510761261 + 0.49840378761291504, -0.9376931190490723, + -1.2067314386367798, 0.9083181023597717 ], [ - 0.5809807777404785, -0.24098272621631622, - -0.2329350858926773, 0.9879254102706909 + -0.5178960561752319, 1.1412227153778076, + -0.799851655960083, 0.6028381586074829 ]], - dtype=torch.float32) + dtype=torch.float32), + 'a': + torch.as_tensor( + [[1.1327227354049683, -2.1831910610198975, 1.6818268299102783], + [1.1106059551239014, -0.4254928231239319, 0.2573221027851105]], + dtype=torch.float32) }) diff --git a/main/tutorials/quick_start/index.html b/main/tutorials/quick_start/index.html index 37af0cf4a0b93db283f9a1b75b685d1a7531f876..e356e5295aec6f127760626c0ad259329fbbc14f 100644 --- a/main/tutorials/quick_start/index.html +++ b/main/tutorials/quick_start/index.html @@ -258,23 +258,23 @@ tensor([[1, 2, 3], [4, 5, 6]]) new tree tensor: -<Tensor 0x7f18939c5210> +<Tensor 0x7ff6b608f210> ├── 'a' --> tensor([1, 2, 3]) -└── 'b' --> <Tensor 0x7f18939c5450> +└── 'b' --> <Tensor 0x7ff6b608f450> └── 'x' --> tensor([[4, 5], [6, 7]]) new random native tensor: -tensor([[-1.0911, 0.9864, 0.2545], - [ 0.4985, 0.1928, 0.0792]]) +tensor([[-0.8270, 0.9214, -0.3230], + [ 0.3421, 0.0894, 0.2116]]) new random tree tensor: -<Tensor 0x7f1889da2b50> -├── 'a' --> tensor([[-1.2403, 0.6878, -0.2415], -│ [-0.3103, 1.7889, 1.8218]]) -└── 'b' --> <Tensor 0x7f1889da2650> - └── 'x' --> tensor([[-0.0248, 0.7511, 1.1150, 0.1462], - [ 0.2195, 0.4470, -0.9762, -0.1533], - [ 1.6880, 0.5489, 0.5203, -0.7654]]) +<Tensor 0x7ff6ac46e9d0> +├── 'a' --> tensor([[-0.8846, -1.4513, -0.5182], +│ [-0.5648, -1.0243, 0.4798]]) +└── 'b' --> <Tensor 0x7ff6ac46e4d0> + └── 'x' --> tensor([[ 0.2268, -0.4934, -0.0789, -0.4720], + [-0.7991, -0.5148, -0.1121, -1.1098], + [ 0.4060, 2.1901, 2.7527, -1.3421]]) diff --git a/release/0.2.1/.buildinfo b/release/0.2.1/.buildinfo index 22e0c921c8c8136f8e7f43f1100716e92f5825a6..f32059ab23b0bf804dc433b12c8a057c7d30c62b 100644 --- a/release/0.2.1/.buildinfo +++ b/release/0.2.1/.buildinfo @@ -1,4 +1,4 @@ # Sphinx build info version 1 # This file hashes the configuration used when building these files. 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- [0.2362, 0.1139, 0.5716, 0.3501, 0.1901, 0.1539, 0.3953, 0.2953],
- [0.2659, 0.7704, 0.0782, 0.6844, 0.7733, 0.5027, 0.6721, 0.6439]]), 'b': tensor([0.8201, 0.4648, 0.4486, 0.1449, 0.3836, 0.9038]), 'c': {'d': tensor([4])}}, {'a': tensor([[0.1645, 0.4517, 0.9106, 0.6059, 0.5115, 0.3983, 0.4398, 0.0911],
- [0.1840, 0.9847, 0.5494, 0.4191, 0.7181, 0.5869, 0.4009, 0.1033],
- [0.0607, 0.4726, 0.4879, 0.1069, 0.3698, 0.5707, 0.6958, 0.7920]]), 'b': tensor([0.6541, 0.8339, 0.8696, 0.6675, 0.7330, 0.2377]), 'c': {'d': tensor([3])}}, {'a': tensor([[0.1794, 0.6558, 0.5444, 0.3886, 0.4555, 0.3845, 0.4063, 0.3464],
- [0.9083, 0.9649, 0.2093, 0.3308, 0.5074, 0.4000, 0.0833, 0.3382],
- [0.9023, 0.7741, 0.7844, 0.9727, 0.7707, 0.8949, 0.6591, 0.9501]]), 'b': tensor([0.9176, 0.2648, 0.3382, 0.8900, 0.3803, 0.2571]), 'c': {'d': tensor([9])}}]
-
-
-
-(<Tensor 0x7fd27b47a1d0>
-├── 'a' --> tensor([[[0.6731, 0.0917, 0.8687, 0.7065, 0.4446, 0.5438, 0.3145, 0.7487],
-│ [0.3838, 0.7158, 0.4258, 0.6123, 0.9773, 0.7443, 0.4226, 0.5349],
-│ [0.2822, 0.2891, 0.8974, 0.0587, 0.7862, 0.3242, 0.0112, 0.7824]]])
-├── 'b' --> tensor([[1.9176, 1.0944, 1.4677, 1.4147, 1.0007, 1.1552]])
-└── 'c' --> <Tensor 0x7fd27b47a190>
- ├── 'd' --> tensor([[4.]])
- └── 'noise' --> tensor([[[[ 1.1466e+00, -8.5046e-01, -1.0156e+00, 5.0031e-01, -3.2395e-01],
- [-2.1576e-01, 1.2383e+00, 1.3667e+00, -7.2166e-01, 1.6895e+00],
- [-8.4144e-01, 4.0339e-01, 6.3612e-01, 6.7519e-01, -5.8496e-01],
- [-1.1068e+00, -7.1252e-01, -2.0263e+00, -1.5451e+00, -1.2770e+00]],
+128[{'a': tensor([[0.5970, 0.6380, 0.2982, 0.6880, 0.1158, 0.0199, 0.6507, 0.0184],
+ [0.0817, 0.8874, 0.9043, 0.1066, 0.5278, 0.2705, 0.1188, 0.0387],
+ [0.3606, 0.8543, 0.8382, 0.5105, 0.2413, 0.4070, 0.4034, 0.1792]]), 'b': tensor([0.2076, 0.1346, 0.2297, 0.7944, 0.2108, 0.5253]), 'c': {'d': tensor([8])}}, {'a': tensor([[0.6756, 0.9815, 0.7283, 0.8654, 0.3195, 0.2378, 0.7597, 0.2738],
+ [0.3416, 0.0725, 0.3631, 0.8147, 0.1707, 0.0117, 0.5185, 0.5841],
+ [0.6130, 0.1929, 0.8437, 0.2366, 0.6479, 0.7008, 0.0059, 0.4122]]), 'b': tensor([0.0417, 0.9709, 0.6403, 0.3394, 0.7002, 0.7506]), 'c': {'d': tensor([9])}}, {'a': tensor([[0.3102, 0.2544, 0.5682, 0.1374, 0.0254, 0.4030, 0.0306, 0.9483],
+ [0.8566, 0.3340, 0.7075, 0.3189, 0.4775, 0.5603, 0.1877, 0.9401],
+ [0.1417, 0.0157, 0.5571, 0.3410, 0.6894, 0.4246, 0.1119, 0.1358]]), 'b': tensor([0.2531, 0.7786, 0.2937, 0.2627, 0.5957, 0.0139]), 'c': {'d': tensor([5])}}, {'a': tensor([[0.4370, 0.1319, 0.7821, 0.8915, 0.7635, 0.6032, 0.6973, 0.2995],
+ [0.1842, 0.9761, 0.3389, 0.9369, 0.6284, 0.7857, 0.4963, 0.6124],
+ [0.5900, 0.0066, 0.6625, 0.8644, 0.6382, 0.0161, 0.9103, 0.4822]]), 'b': tensor([0.3873, 0.4161, 0.4918, 0.8190, 0.4175, 0.6894]), 'c': {'d': tensor([9])}}]
+
+
+
+(<Tensor 0x7f44c98fbfd0>
+├── 'a' --> tensor([[[0.5970, 0.6380, 0.2982, 0.6880, 0.1158, 0.0199, 0.6507, 0.0184],
+│ [0.0817, 0.8874, 0.9043, 0.1066, 0.5278, 0.2705, 0.1188, 0.0387],
+│ [0.3606, 0.8543, 0.8382, 0.5105, 0.2413, 0.4070, 0.4034, 0.1792]]])
+├── 'b' --> tensor([[1.0431, 1.0181, 1.0527, 1.6311, 1.0444, 1.2760]])
+└── 'c' --> <Tensor 0x7f44c98fbf90>
+ ├── 'd' --> tensor([[8.]])
+ └── 'noise' --> tensor([[[[ 0.0899, -0.2065, 0.2970, -0.8595, -1.2275],
+ [ 0.4999, 0.1108, 0.2911, 0.0948, 0.1556],
+ [ 0.0845, -0.1509, -0.3465, -1.2434, 0.4785],
+ [ 1.5015, -0.6301, 0.6417, 0.0676, -1.1411]],
- [[ 6.8584e-01, 2.3812e-01, -8.3383e-01, 5.8148e-01, 6.1250e-01],
- [-1.5513e-01, -1.5802e+00, 8.0739e-01, -4.4751e-02, 2.8206e-01],
- [-1.3430e-01, -2.1576e+00, -1.8972e+00, 1.0139e+00, -5.0583e-01],
- [-1.0538e+00, 8.7909e-01, -2.4951e+00, 3.4116e-01, 6.0782e-01]],
+ [[ 0.1138, 0.3697, 0.1029, 1.0202, -0.7892],
+ [-1.3716, 0.9827, 1.0890, -0.3762, -1.0260],
+ [-2.2024, -0.8433, 0.2542, 0.0962, -0.0681],
+ [-0.5189, -0.3842, -0.4204, 0.8824, 0.3082]],
- [[ 9.8408e-04, 9.5842e-01, -2.2399e-01, 5.6312e-01, -7.2089e-01],
- [-1.0652e+00, -3.8864e-01, 1.3829e+00, 5.3483e-01, -2.9671e-01],
- [-2.7180e-01, -2.7733e-01, -1.3849e+00, -8.0888e-01, -5.9672e-01],
- [-7.8361e-01, -6.4769e-01, 4.0461e-01, 1.1268e+00, -1.6094e+00]]]])
-, <Tensor 0x7fd27b47a250>
-├── 'a' --> tensor([[[0.5907, 0.9718, 0.2449, 0.3821, 0.1958, 0.9486, 0.8568, 0.6885],
-│ [0.2362, 0.1139, 0.5716, 0.3501, 0.1901, 0.1539, 0.3953, 0.2953],
-│ [0.2659, 0.7704, 0.0782, 0.6844, 0.7733, 0.5027, 0.6721, 0.6439]]])
-├── 'b' --> tensor([[1.6726, 1.2160, 1.2013, 1.0210, 1.1472, 1.8169]])
-└── 'c' --> <Tensor 0x7fd27b47a210>
- ├── 'd' --> tensor([[4.]])
- └── 'noise' --> tensor([[[[-0.8593, -0.2281, 0.0365, -1.4838, -2.0977],
- [ 0.5419, -0.3130, -0.7066, -0.6933, -1.2525],
- [-0.6291, -0.5533, -0.1736, -0.1213, -0.7007],
- [-0.6699, 0.0664, 0.7658, -0.2007, -0.3199]],
+ [[ 0.0773, 1.4251, 1.5262, -0.7917, 1.0851],
+ [ 0.9914, 0.0088, -1.4717, 1.3887, -1.2135],
+ [-1.3993, -0.9619, 1.7426, -0.4463, 0.1962],
+ [-0.4414, 1.2517, -0.9985, -0.8361, -0.1871]]]])
+, <Tensor 0x7f44c9902090>
+├── 'a' --> tensor([[[0.6756, 0.9815, 0.7283, 0.8654, 0.3195, 0.2378, 0.7597, 0.2738],
+│ [0.3416, 0.0725, 0.3631, 0.8147, 0.1707, 0.0117, 0.5185, 0.5841],
+│ [0.6130, 0.1929, 0.8437, 0.2366, 0.6479, 0.7008, 0.0059, 0.4122]]])
+├── 'b' --> tensor([[1.0017, 1.9427, 1.4100, 1.1152, 1.4903, 1.5635]])
+└── 'c' --> <Tensor 0x7f44c9902050>
+ ├── 'd' --> tensor([[9.]])
+ └── 'noise' --> tensor([[[[-0.0636, 0.9542, -1.1635, 1.6893, 2.3627],
+ [ 0.0115, 1.9671, -0.3377, -0.5669, -0.6563],
+ [-1.7957, -0.5316, 0.9089, -0.4279, -1.3077],
+ [ 1.3906, -0.2823, -2.1782, -0.7171, 0.6124]],
- [[ 0.7599, -0.3011, 0.7706, 0.0870, -2.0324],
- [ 1.0811, 0.2300, -0.1849, 0.1837, -0.4372],
- [-1.0157, -0.1473, 0.7065, 0.3459, -0.7674],
- [ 0.7332, -0.9033, 0.6174, 0.6816, -0.8571]],
+ [[-0.4134, 0.4030, -0.8556, -0.0878, -0.8637],
+ [-0.2818, -0.1585, 0.6025, 1.2792, 0.7909],
+ [ 0.7828, -0.1050, -0.5852, 0.1586, 0.5042],
+ [ 0.9793, 1.4599, 0.5807, 0.7037, -0.1186]],
- [[-0.0297, -0.1544, -0.2268, -2.2945, -0.0312],
- [-1.5895, -1.2447, -0.0778, -0.7324, -1.1332],
- [ 0.1790, -0.2429, -0.2985, 1.2024, -0.7793],
- [-0.4156, 0.8211, -0.7902, -0.4676, 0.3222]]]])
-, <Tensor 0x7fd27b47a2d0>
-├── 'a' --> tensor([[[0.1645, 0.4517, 0.9106, 0.6059, 0.5115, 0.3983, 0.4398, 0.0911],
-│ [0.1840, 0.9847, 0.5494, 0.4191, 0.7181, 0.5869, 0.4009, 0.1033],
-│ [0.0607, 0.4726, 0.4879, 0.1069, 0.3698, 0.5707, 0.6958, 0.7920]]])
-├── 'b' --> tensor([[1.4279, 1.6954, 1.7562, 1.4455, 1.5373, 1.0565]])
-└── 'c' --> <Tensor 0x7fd27b47a290>
- ├── 'd' --> tensor([[3.]])
- └── 'noise' --> tensor([[[[ 1.1699, -0.3040, -0.0217, 0.3989, -0.5529],
- [ 0.6521, -2.2248, 0.2633, -0.5638, 0.8068],
- [ 0.0193, -1.7694, -0.9791, -0.3262, -0.0936],
- [ 0.1141, 0.7418, -1.9812, -1.5136, -0.4814]],
+ [[-0.2176, 0.1828, -1.4996, -1.0245, -1.0316],
+ [-2.0978, 0.5762, 0.0161, -0.1994, 0.1299],
+ [ 1.4996, -0.5241, 1.5268, 0.5941, 0.8506],
+ [ 0.8096, 0.0353, 1.7413, -1.7172, -0.6269]]]])
+, <Tensor 0x7f44c9902110>
+├── 'a' --> tensor([[[0.3102, 0.2544, 0.5682, 0.1374, 0.0254, 0.4030, 0.0306, 0.9483],
+│ [0.8566, 0.3340, 0.7075, 0.3189, 0.4775, 0.5603, 0.1877, 0.9401],
+│ [0.1417, 0.0157, 0.5571, 0.3410, 0.6894, 0.4246, 0.1119, 0.1358]]])
+├── 'b' --> tensor([[1.0641, 1.6061, 1.0862, 1.0690, 1.3549, 1.0002]])
+└── 'c' --> <Tensor 0x7f44c99020d0>
+ ├── 'd' --> tensor([[5.]])
+ └── 'noise' --> tensor([[[[ 1.3056, -0.9886, 1.5054, -0.3000, 0.9321],
+ [-1.8560, 1.1383, 0.9295, 0.5354, 0.9270],
+ [ 1.9937, 0.7789, -0.4014, -0.6633, -0.6932],
+ [-0.8700, 0.0173, -0.5599, 1.2187, -1.1334]],
- [[-1.1881, -0.4322, 0.3388, -1.0543, 0.9520],
- [-0.1426, 0.6977, -1.2303, -1.4190, 0.7670],
- [-1.3707, 0.0955, 1.9849, -0.7837, 1.2847],
- [-0.5069, 0.9936, 0.5719, -0.9343, 0.7344]],
+ [[-0.7488, -1.7305, -0.0584, 1.4645, -0.4584],
+ [ 1.1889, -0.2768, -0.9637, 0.2751, 0.9633],
+ [ 0.0617, -0.7286, -0.5008, -0.3612, 1.1474],
+ [-0.5823, -1.5871, 0.0175, -0.5869, 0.1687]],
- [[-0.5762, -0.0693, 1.7331, -0.1451, 0.3398],
- [-0.6189, 1.4987, -1.2866, 0.0555, 0.6782],
- [-0.1496, -0.8374, 0.6710, 1.0939, -0.3451],
- [-0.2869, 0.5771, 1.9337, 1.7224, 1.9773]]]])
-, <Tensor 0x7fd27b47a350>
-├── 'a' --> tensor([[[0.1794, 0.6558, 0.5444, 0.3886, 0.4555, 0.3845, 0.4063, 0.3464],
-│ [0.9083, 0.9649, 0.2093, 0.3308, 0.5074, 0.4000, 0.0833, 0.3382],
-│ [0.9023, 0.7741, 0.7844, 0.9727, 0.7707, 0.8949, 0.6591, 0.9501]]])
-├── 'b' --> tensor([[1.8421, 1.0701, 1.1144, 1.7921, 1.1446, 1.0661]])
-└── 'c' --> <Tensor 0x7fd27b47a310>
+ [[-1.7871, -0.6780, -0.3522, -0.0244, -1.5038],
+ [ 0.9365, -0.2948, -1.5976, -0.6342, 1.9106],
+ [-0.7811, -0.3110, 0.6285, -0.8242, -1.9607],
+ [-1.8625, -0.8336, -0.2308, -0.5414, -1.1970]]]])
+, <Tensor 0x7f44c9902190>
+├── 'a' --> tensor([[[0.4370, 0.1319, 0.7821, 0.8915, 0.7635, 0.6032, 0.6973, 0.2995],
+│ [0.1842, 0.9761, 0.3389, 0.9369, 0.6284, 0.7857, 0.4963, 0.6124],
+│ [0.5900, 0.0066, 0.6625, 0.8644, 0.6382, 0.0161, 0.9103, 0.4822]]])
+├── 'b' --> tensor([[1.1500, 1.1731, 1.2419, 1.6707, 1.1743, 1.4752]])
+└── 'c' --> <Tensor 0x7f44c9902150>
├── 'd' --> tensor([[9.]])
- └── 'noise' --> tensor([[[[ 0.9630, -0.8455, -0.6593, 2.4491, -1.2226],
- [-0.3712, -0.6068, -1.5005, -0.2946, -0.3931],
- [-0.2601, 0.2581, -1.1641, -1.2530, -0.6281],
- [ 0.6850, -0.9635, -0.4111, -0.3419, 0.3661]],
+ └── 'noise' --> tensor([[[[ 1.5390e+00, -1.2372e+00, -9.9445e-01, -4.7412e-01, -1.2489e+00],
+ [ 1.0468e+00, -3.1238e-01, 5.3672e-01, 8.3260e-01, -6.7751e-01],
+ [ 1.9780e+00, -1.4086e-01, -1.1197e-01, 7.1306e-01, -7.6886e-01],
+ [ 2.7968e-01, 2.9488e+00, -2.8364e-01, 6.4246e-01, 1.8164e-01]],
- [[-0.1509, -0.5263, 3.3260, 0.4842, 0.4378],
- [-0.2285, 0.2640, -0.3502, -1.0925, -0.2427],
- [ 1.2152, 0.0989, -0.8653, -0.0603, 0.7598],
- [-0.3692, -1.0216, 1.3138, -0.2468, -0.5823]],
+ [[-5.7357e-01, -1.6591e-01, 1.2689e+00, -7.6898e-01, 3.5883e-01],
+ [ 3.6959e-01, -6.8707e-01, -8.7865e-04, 9.0263e-01, 4.0002e-01],
+ [-7.1349e-01, 1.3437e+00, -6.6630e-01, 2.4434e+00, -3.3975e-01],
+ [ 4.6629e-01, 5.3779e-01, 5.6943e-01, 6.5492e-01, -1.8341e+00]],
- [[-0.4198, 0.6638, 0.0287, 1.0592, 0.3149],
- [ 0.7021, 1.2653, -0.8337, -0.3130, -1.5818],
- [-1.0302, 0.4434, -0.3992, 2.0950, -0.1069],
- [ 1.0159, -2.0411, 0.1757, -0.2029, -0.3170]]]])
+ [[ 2.1664e-02, -9.9056e-01, -2.4651e-01, 1.1542e+00, 7.3156e-01],
+ [-2.5338e-01, -1.6553e+00, 8.1107e-01, 5.6715e-01, 2.8982e-01],
+ [-2.3745e-01, 1.9375e-01, -2.2796e+00, 5.6142e-01, 9.9683e-01],
+ [-4.5817e-01, 8.1194e-01, -6.0054e-01, -2.9025e-01, -2.0572e+00]]]])
)
-mean0 & mean1: tensor(1.3781) tensor(1.3781)
+mean0 & mean1: tensor(1.2773) tensor(1.2773)
-even_index_a0: tensor([[[0.6731, 0.0917, 0.8687, 0.7065, 0.4446, 0.5438, 0.3145, 0.7487],
- [0.2822, 0.2891, 0.8974, 0.0587, 0.7862, 0.3242, 0.0112, 0.7824]],
+even_index_a0: tensor([[[0.5970, 0.6380, 0.2982, 0.6880, 0.1158, 0.0199, 0.6507, 0.0184],
+ [0.3606, 0.8543, 0.8382, 0.5105, 0.2413, 0.4070, 0.4034, 0.1792]],
- [[0.5907, 0.9718, 0.2449, 0.3821, 0.1958, 0.9486, 0.8568, 0.6885],
- [0.2659, 0.7704, 0.0782, 0.6844, 0.7733, 0.5027, 0.6721, 0.6439]],
+ [[0.6756, 0.9815, 0.7283, 0.8654, 0.3195, 0.2378, 0.7597, 0.2738],
+ [0.6130, 0.1929, 0.8437, 0.2366, 0.6479, 0.7008, 0.0059, 0.4122]],
- [[0.1645, 0.4517, 0.9106, 0.6059, 0.5115, 0.3983, 0.4398, 0.0911],
- [0.0607, 0.4726, 0.4879, 0.1069, 0.3698, 0.5707, 0.6958, 0.7920]],
+ [[0.3102, 0.2544, 0.5682, 0.1374, 0.0254, 0.4030, 0.0306, 0.9483],
+ [0.1417, 0.0157, 0.5571, 0.3410, 0.6894, 0.4246, 0.1119, 0.1358]],
- [[0.1794, 0.6558, 0.5444, 0.3886, 0.4555, 0.3845, 0.4063, 0.3464],
- [0.9023, 0.7741, 0.7844, 0.9727, 0.7707, 0.8949, 0.6591, 0.9501]]])
-even_index_a1: tensor([[[0.6731, 0.0917, 0.8687, 0.7065, 0.4446, 0.5438, 0.3145, 0.7487],
- [0.2822, 0.2891, 0.8974, 0.0587, 0.7862, 0.3242, 0.0112, 0.7824]],
+ [[0.4370, 0.1319, 0.7821, 0.8915, 0.7635, 0.6032, 0.6973, 0.2995],
+ [0.5900, 0.0066, 0.6625, 0.8644, 0.6382, 0.0161, 0.9103, 0.4822]]])
+even_index_a1: tensor([[[0.5970, 0.6380, 0.2982, 0.6880, 0.1158, 0.0199, 0.6507, 0.0184],
+ [0.3606, 0.8543, 0.8382, 0.5105, 0.2413, 0.4070, 0.4034, 0.1792]],
- [[0.5907, 0.9718, 0.2449, 0.3821, 0.1958, 0.9486, 0.8568, 0.6885],
- [0.2659, 0.7704, 0.0782, 0.6844, 0.7733, 0.5027, 0.6721, 0.6439]],
+ [[0.6756, 0.9815, 0.7283, 0.8654, 0.3195, 0.2378, 0.7597, 0.2738],
+ [0.6130, 0.1929, 0.8437, 0.2366, 0.6479, 0.7008, 0.0059, 0.4122]],
- [[0.1645, 0.4517, 0.9106, 0.6059, 0.5115, 0.3983, 0.4398, 0.0911],
- [0.0607, 0.4726, 0.4879, 0.1069, 0.3698, 0.5707, 0.6958, 0.7920]],
+ [[0.3102, 0.2544, 0.5682, 0.1374, 0.0254, 0.4030, 0.0306, 0.9483],
+ [0.1417, 0.0157, 0.5571, 0.3410, 0.6894, 0.4246, 0.1119, 0.1358]],
- [[0.1794, 0.6558, 0.5444, 0.3886, 0.4555, 0.3845, 0.4063, 0.3464],
- [0.9023, 0.7741, 0.7844, 0.9727, 0.7707, 0.8949, 0.6591, 0.9501]]])
-<Size 0x7fd27b470f10>
+ [[0.4370, 0.1319, 0.7821, 0.8915, 0.7635, 0.6032, 0.6973, 0.2995],
+ [0.5900, 0.0066, 0.6625, 0.8644, 0.6382, 0.0161, 0.9103, 0.4822]]])
+<Size 0x7f44c98fbed0>
├── 'a' --> torch.Size([1, 3, 8])
├── 'b' --> torch.Size([1, 6])
-└── 'c' --> <Size 0x7fd27b470f90>
+└── 'c' --> <Size 0x7f44c98fbe90>
├── 'd' --> torch.Size([1, 1])
└── 'noise' --> torch.Size([1, 3, 4, 5])
{'obs': {'scalar': tensor([[-0.4085, 0.4264, -0.8340, 0.0947, 1.0267, 1.4388, -0.1224, 0.9432,
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+ -3.5542e-01, 1.8402e-01],
+ [-1.5032e+00, 3.9487e-01, 4.7472e-01, ..., 1.0113e+00,
+ -1.9374e+00, -6.1498e-01],
+ [ 1.4589e+00, 1.3105e+00, -1.7321e+00, ..., -1.1210e+00,
+ -4.0204e-01, -3.5918e-01]],
+
+ [[-1.8967e+00, 4.1452e-01, 5.2139e-01, ..., 6.8807e-01,
+ -3.2902e-01, 5.9558e-01],
+ [-1.1548e+00, 1.6874e-01, 2.2495e+00, ..., 1.4640e+00,
+ -2.7503e-01, 5.9069e-01],
+ [ 6.0741e-01, -5.2446e-01, 1.3916e+00, ..., -9.9474e-01,
+ 4.1471e-01, -9.7515e-01],
...,
- [-7.2849e-01, -2.0977e-01, -7.5190e-01, ..., -1.0252e+00,
- 1.6228e+00, 1.0078e+00],
- [-2.5103e-01, -1.9202e+00, -4.9707e-01, ..., 2.0216e+00,
- 1.8434e+00, 1.1081e+00],
- [ 2.4578e+00, -1.2978e+00, -2.8634e-01, ..., 2.4802e+00,
- 7.3620e-01, 5.0321e-01]],
-
- [[-6.7868e-01, 4.6118e-01, 3.1025e-01, ..., -2.8821e-01,
- -2.0005e+00, 6.6853e-01],
- [ 1.3743e+00, -6.1044e-02, -3.3889e-01, ..., 8.0411e-01,
- 3.2524e-01, -7.6456e-02],
- [ 1.0602e+00, 8.7318e-02, 1.0095e+00, ..., -1.2805e+00,
- -7.4918e-02, -1.5317e-01],
+ [-3.2177e-03, -4.6787e-01, -1.4330e-01, ..., -4.4907e-01,
+ 1.7490e+00, 5.6380e-01],
+ [-7.3630e-01, 1.0064e+00, -7.6984e-01, ..., 1.9476e-01,
+ -4.7897e-01, -8.9939e-01],
+ [ 1.6099e+00, 1.4610e+00, 5.1490e-01, ..., -7.8492e-01,
+ -9.0903e-01, -1.2583e+00]],
+
+ [[ 7.6164e-01, -3.9213e-01, 9.3509e-01, ..., -1.0208e-01,
+ -1.7434e-01, 1.0613e+00],
+ [-1.5122e-01, 1.3701e+00, 3.4655e-01, ..., -4.7696e-01,
+ -6.2946e-01, 1.6776e+00],
+ [ 9.6729e-01, -2.4917e-02, 6.9863e-01, ..., -5.6970e-01,
+ 2.1592e-01, -6.7386e-01],
...,
- [-1.7676e-01, -3.6336e-01, -1.4883e+00, ..., 3.7765e-01,
- 1.5936e+00, 8.0965e-01],
- [-1.2588e-01, 2.0288e+00, 2.3764e-01, ..., -6.1448e-01,
- 1.8870e+00, 3.1024e-01],
- [-8.6582e-01, 9.4551e-01, -6.9178e-01, ..., -6.7586e-01,
- -4.3337e-01, 1.3702e+00]]]])}, 'action': tensor([[6],
- [5],
- [9],
- [8]]), 'reward': tensor([[0.6934],
- [0.7693],
- [0.0286],
- [0.3442]]), 'done': tensor([False, False, False, False])}
+ [ 2.0453e-01, -1.2095e+00, 1.9934e-01, ..., -5.6758e-02,
+ 1.2967e-02, 3.5214e-01],
+ [ 2.0121e+00, 1.5773e+00, -2.0744e+00, ..., -1.1839e+00,
+ 3.8507e-01, 3.3450e-01],
+ [-3.5342e-01, -3.1460e-02, 9.3871e-01, ..., -2.5894e-01,
+ 6.9330e-01, 1.1877e-02]]]])}, 'action': tensor([[5],
+ [4],
+ [6],
+ [7]]), 'reward': tensor([[0.6177],
+ [0.3611],
+ [0.0386],
+ [0.2089]]), 'done': tensor([False, False, False, False])}
We can see that the structure process function need to be fully implemented (like the function stack). This code is actually not clear, and due to hard coding, if you need to support more data types (such as integer), you must make special modifications to the function.
<Tensor 0x7fa72e2c6350>
-├── 'action' --> tensor([[4],
+189<Tensor 0x7fcf14d99350>
+├── 'action' --> tensor([[0],
│ [6],
-│ [6],
-│ [3]])
+│ [7],
+│ [0]])
├── 'done' --> tensor([False, False, False, False])
-├── 'obs' --> <Tensor 0x7fa72e392950>
-│ ├── 'image' --> tensor([[[[-1.7590e+00, 3.5218e-01, 1.0059e+00, ..., -1.0726e+00,
-│ │ -2.1766e+00, -3.5600e-01],
-│ │ [-4.9385e-01, 3.9897e-01, 1.0720e+00, ..., 6.6832e-01,
-│ │ -1.4463e-02, -2.5556e-01],
-│ │ [ 1.0966e+00, 1.3768e+00, -1.5746e+00, ..., 1.3798e-01,
-│ │ -6.7030e-01, 2.5255e+00],
+├── 'obs' --> <Tensor 0x7fcf14e65790>
+│ ├── 'image' --> tensor([[[[-1.9237e+00, 1.5100e+00, -1.2680e+00, ..., 6.5203e-01,
+│ │ 2.0525e+00, 6.7771e-01],
+│ │ [-1.1783e+00, -6.6430e-01, -2.9423e-01, ..., -9.2871e-01,
+│ │ -8.5443e-01, -7.7077e-01],
+│ │ [-4.4440e-01, -7.6668e-01, 3.8600e-01, ..., -1.4107e+00,
+│ │ 7.0878e-01, 2.8826e-01],
│ │ ...,
-│ │ [-9.6029e-01, -1.0944e+00, -1.8076e+00, ..., -6.8488e-01,
-│ │ 1.0934e+00, 5.7858e-01],
-│ │ [-4.5799e-01, -1.2516e-01, -7.9192e-01, ..., -3.0969e-01,
-│ │ 1.1894e+00, 3.2146e-01],
-│ │ [ 1.0597e+00, 1.5644e-01, -1.0210e+00, ..., -4.7645e-01,
-│ │ 5.0766e-01, -5.6405e-01]],
+│ │ [ 1.5011e+00, -1.9450e+00, 9.1416e-01, ..., 1.2797e+00,
+│ │ 2.2236e+00, 3.2118e-01],
+│ │ [ 2.9515e-01, 1.7368e+00, 2.3651e-02, ..., -1.7247e+00,
+│ │ -3.7973e-01, 8.1938e-01],
+│ │ [-6.2305e-01, 8.6454e-01, -6.9425e-02, ..., -5.8103e-01,
+│ │ -6.9997e-02, 1.7550e-01]],
│ │
-│ │ [[ 1.3068e+00, -6.4925e-01, 7.4580e-01, ..., 4.0457e-01,
-│ │ 1.5409e+00, -5.9309e-01],
-│ │ [-1.5447e+00, 2.3427e-01, 9.3639e-02, ..., -2.3301e-01,
-│ │ 7.1681e-01, 1.2818e-02],
-│ │ [ 4.3462e-01, 3.4476e-01, -7.2376e-01, ..., -2.4459e+00,
-│ │ -3.1133e-01, -1.1264e+00],
+│ │ [[ 2.0973e+00, -1.2941e+00, 8.4717e-01, ..., -1.3837e-01,
+│ │ -3.9870e-02, 4.0005e-01],
+│ │ [ 1.7277e+00, -2.1860e+00, 2.8273e+00, ..., -1.1656e+00,
+│ │ 2.2491e+00, 1.8404e+00],
+│ │ [ 8.8913e-02, -4.8281e-01, 1.9262e-01, ..., 1.4276e+00,
+│ │ -1.0566e+00, 9.9019e-01],
│ │ ...,
-│ │ [-4.9198e-02, -1.5467e+00, 2.9483e-01, ..., 4.8393e-01,
-│ │ 3.2408e-01, 9.7307e-01],
-│ │ [-4.6603e-01, 3.8764e-01, 3.0026e-01, ..., -9.9636e-01,
-│ │ 7.8178e-01, 9.0231e-01],
-│ │ [-9.1132e-01, 2.5275e-01, -1.7410e+00, ..., -3.6262e-01,
-│ │ 7.7215e-01, 7.6427e-01]],
+│ │ [-3.5705e-01, 2.9632e-01, -5.4878e-01, ..., -8.1059e-02,
+│ │ -2.4497e-01, 1.4186e+00],
+│ │ [-3.6687e-01, 1.1656e+00, 8.5616e-01, ..., 9.8525e-01,
+│ │ -4.9490e-01, -1.0706e+00],
+│ │ [ 5.8220e-01, 1.2888e-01, 3.3087e-01, ..., 8.2167e-01,
+│ │ 3.4871e-01, 1.2083e+00]],
│ │
-│ │ [[-6.3442e-01, -1.2168e+00, -5.1812e-01, ..., 2.2828e+00,
-│ │ 1.8520e+00, 4.5541e-01],
-│ │ [-3.2981e-01, 1.9628e-01, 3.6998e-02, ..., -3.4924e-01,
-│ │ -3.4519e-01, 1.5213e+00],
-│ │ [ 1.0161e+00, -1.2738e+00, -8.5419e-01, ..., 2.3688e-01,
-│ │ 5.3131e-01, 4.0431e-01],
+│ │ [[ 1.9652e-02, 6.0919e-02, 9.5005e-01, ..., 5.6437e-01,
+│ │ 9.6631e-01, -6.8001e-01],
+│ │ [ 3.3582e-01, -9.5218e-02, 4.6450e-01, ..., -8.5857e-02,
+│ │ -7.9312e-01, -1.1399e+00],
+│ │ [ 6.2974e-01, 1.0483e+00, 6.2246e-02, ..., 1.3414e-01,
+│ │ 3.5031e-01, -1.5763e+00],
│ │ ...,
-│ │ [ 2.1007e+00, -5.0822e-01, 4.8106e-01, ..., 1.0084e+00,
-│ │ 5.4798e-01, -2.2615e-01],
-│ │ [-8.8885e-01, -6.3793e-01, -1.1925e+00, ..., -4.2217e-01,
-│ │ -1.0963e+00, 2.9556e-01],
-│ │ [ 6.2640e-01, -1.2353e+00, 4.9013e-01, ..., 1.5851e+00,
-│ │ 1.4962e+00, -6.5715e-01]]],
+│ │ [-8.4586e-01, -8.0059e-01, 2.0014e-02, ..., -9.5930e-01,
+│ │ 1.7781e+00, 2.1397e-01],
+│ │ [-5.5685e-01, 6.3420e-01, 2.1489e+00, ..., 4.1969e-01,
+│ │ -2.5976e-01, 9.4271e-01],
+│ │ [-6.1509e-01, -2.6292e-01, -5.1557e-01, ..., 4.5609e-01,
+│ │ 5.7447e-01, -1.1562e+00]]],
│ │
│ │
-│ │ [[[-7.4869e-01, 1.1182e+00, -1.2393e+00, ..., 1.5460e-01,
-│ │ 1.2254e+00, -2.4402e-01],
-│ │ [ 1.0449e-01, -2.0176e-01, -6.8254e-01, ..., -1.5477e+00,
-│ │ 2.4307e+00, -4.8068e-01],
-│ │ [-1.9979e+00, 3.8687e-01, 7.5501e-01, ..., 1.7909e+00,
-│ │ -1.6125e+00, -3.6340e+00],
+│ │ [[[ 2.1309e+00, 5.2421e-01, -1.3745e+00, ..., -2.1149e+00,
+│ │ 5.6652e-01, 4.6265e-01],
+│ │ [-6.9328e-02, 1.7711e+00, 1.0183e+00, ..., 5.3817e-01,
+│ │ 4.7941e-01, 2.2559e-01],
+│ │ [-7.6791e-01, 4.3616e-02, -1.2900e+00, ..., -7.4387e-01,
+│ │ 3.2975e-01, -2.8714e+00],
│ │ ...,
-│ │ [-1.1576e+00, -2.3350e-01, -3.3453e-01, ..., -9.9373e-01,
-│ │ 2.6460e-01, 3.9980e-01],
-│ │ [ 9.4902e-01, -2.1138e+00, 9.2749e-01, ..., -6.2434e-02,
-│ │ -9.2282e-01, -1.4055e-02],
-│ │ [ 6.8561e-01, -1.0369e+00, 1.1986e+00, ..., -1.8424e+00,
-│ │ -6.4509e-01, 3.3309e-01]],
+│ │ [-5.1179e-01, 3.4295e-01, 2.8939e-02, ..., -5.4543e-01,
+│ │ -1.2427e+00, -4.1018e-01],
+│ │ [-1.3771e-01, -7.5160e-01, -7.8793e-01, ..., -2.9805e-01,
+│ │ 3.7804e-01, -9.8614e-01],
+│ │ [ 3.9501e-01, -5.4087e-01, -4.4129e-01, ..., 5.9672e-01,
+│ │ 1.1204e+00, -1.5154e+00]],
│ │
-│ │ [[-6.0610e-01, 8.4873e-01, -9.3457e-01, ..., -1.1506e+00,
-│ │ 4.5021e-01, -7.6192e-01],
-│ │ [ 6.7142e-02, -2.4947e-01, -7.1583e-01, ..., 6.1838e-01,
-│ │ -3.8583e-01, 5.6383e-01],
-│ │ [-9.0953e-01, 1.7913e+00, -1.6940e-01, ..., 6.8153e-02,
-│ │ -4.0648e-01, 4.9897e-02],
+│ │ [[ 4.6946e-01, -1.3712e-01, 9.3036e-01, ..., 1.3493e+00,
+│ │ 5.1600e-01, -1.3407e+00],
+│ │ [-4.0619e-01, 2.8274e-01, -5.1469e-01, ..., -5.6939e-01,
+│ │ 6.6910e-01, -5.9386e-01],
+│ │ [-3.0810e-01, 7.1703e-01, 2.4905e-02, ..., -2.0257e+00,
+│ │ 9.1625e-01, 6.7394e-01],
│ │ ...,
-│ │ [ 2.7387e-01, -5.7739e-01, 3.9382e-01, ..., -1.4588e-02,
-│ │ -2.2207e-01, -8.1063e-01],
-│ │ [-1.5437e+00, 3.9769e-01, 1.1963e-01, ..., 3.9702e-01,
-│ │ 1.1530e+00, 3.6591e-01],
-│ │ [-2.0758e+00, 8.8465e-01, -1.4382e-01, ..., 2.5271e+00,
-│ │ -7.7954e-01, -1.0699e-01]],
+│ │ [-1.0041e+00, -6.8590e-01, -7.2691e-01, ..., -2.1677e-01,
+│ │ -3.2035e-01, -8.3449e-01],
+│ │ [ 7.0402e-01, -1.1572e+00, 1.0107e+00, ..., 1.0065e+00,
+│ │ 1.4853e+00, 9.0607e-01],
+│ │ [ 3.6738e-01, 8.2830e-01, 3.3238e-01, ..., 4.8771e-01,
+│ │ -3.7642e-01, 1.4524e+00]],
│ │
-│ │ [[-1.5225e+00, 2.2518e-01, -7.3160e-01, ..., -2.1269e-01,
-│ │ -9.8431e-01, -1.9026e-01],
-│ │ [-1.1458e-01, -1.6331e+00, 7.8048e-02, ..., 1.0839e-01,
-│ │ -8.2990e-02, 4.9108e-01],
-│ │ [-1.5023e+00, -5.2169e-01, -1.3776e+00, ..., -9.4956e-02,
-│ │ -2.3729e+00, 7.6112e-01],
+│ │ [[ 1.6292e+00, -8.7288e-01, -7.1520e-01, ..., 1.0230e-01,
+│ │ -2.3670e+00, 2.8272e-01],
+│ │ [ 1.6064e-01, 2.3847e-01, -5.2363e-01, ..., 2.1314e-01,
+│ │ -8.2195e-01, -1.3649e-01],
+│ │ [ 5.6036e-01, 2.8411e-01, 1.7159e-01, ..., 2.5738e-02,
+│ │ 5.9917e-01, 1.2544e+00],
│ │ ...,
-│ │ [-7.2860e-01, -1.4042e+00, -7.5859e-02, ..., -5.3507e-02,
-│ │ 7.7880e-01, 5.7809e-02],
-│ │ [ 5.2546e-01, -3.4756e-01, -3.8098e-01, ..., 4.1749e-01,
-│ │ -2.7204e-01, 1.1668e+00],
-│ │ [ 1.1016e+00, 5.9286e-01, 5.7602e-01, ..., -7.1482e-01,
-│ │ -1.1837e+00, -7.1639e-01]]],
+│ │ [-2.2248e+00, 8.2087e-01, 8.4769e-01, ..., 5.4957e-01,
+│ │ -1.4397e-01, 5.3136e-01],
+│ │ [ 1.1568e-01, 3.3891e-02, -2.3826e+00, ..., 4.3945e-02,
+│ │ -7.8420e-01, 8.8898e-01],
+│ │ [-1.4378e-01, 1.5741e-01, 1.1139e+00, ..., 3.0398e-01,
+│ │ -1.7440e+00, 2.1910e+00]]],
│ │
│ │
-│ │ [[[-9.5322e-02, -3.5504e-01, 3.1225e-01, ..., -1.3357e+00,
-│ │ 2.6741e+00, -5.1405e-01],
-│ │ [-7.2074e-01, 4.6435e-02, -1.8897e-01, ..., -1.8780e+00,
-│ │ -2.7476e-01, 1.2154e+00],
-│ │ [-5.8104e-02, 6.6970e-01, 9.5460e-01, ..., 1.7500e+00,
-│ │ 2.9518e+00, -1.6471e-01],
+│ │ [[[-2.0873e-01, -3.5977e-03, 2.2092e-01, ..., -6.8280e-01,
+│ │ 1.4639e+00, 8.2741e-01],
+│ │ [ 7.3633e-01, 1.1316e+00, -1.8567e+00, ..., 6.9618e-01,
+│ │ 1.9015e+00, 1.1240e+00],
+│ │ [-2.5817e-01, -3.6058e-01, 1.0005e+00, ..., -1.0125e-01,
+│ │ -4.7503e-01, 8.4299e-01],
│ │ ...,
-│ │ [-2.7791e+00, 2.7788e-01, -7.9525e-01, ..., -3.1194e-01,
-│ │ 7.6828e-01, 1.2297e-01],
-│ │ [-4.2031e-01, 1.0469e+00, -2.3784e-02, ..., -9.8340e-01,
-│ │ -8.0329e-01, -1.3089e+00],
-│ │ [ 9.8381e-01, -2.7241e-01, -3.3404e-01, ..., -1.4869e+00,
-│ │ 4.4731e-02, 1.0432e+00]],
+│ │ [ 1.6558e+00, 9.4234e-01, 3.8501e-01, ..., -1.2239e+00,
+│ │ 2.6279e+00, 1.6602e+00],
+│ │ [ 5.5471e-01, -1.0134e+00, 9.8522e-01, ..., 8.9292e-01,
+│ │ -2.6860e-01, -2.8724e-01],
+│ │ [-1.3313e+00, 5.6702e-01, -2.2473e-01, ..., -1.6925e+00,
+│ │ 4.2164e-01, -1.7326e+00]],
│ │
-│ │ [[-4.3415e-01, -1.9153e-01, 6.0425e-01, ..., -3.1210e-01,
-│ │ -5.6751e-02, 2.1299e+00],
-│ │ [-9.1766e-01, 9.9240e-01, -6.8146e-01, ..., -7.9348e-01,
-│ │ 6.7803e-01, 1.2748e-01],
-│ │ [-4.4760e-01, -1.1918e+00, -2.4956e-01, ..., 9.8656e-01,
-│ │ 3.1690e-01, 5.9948e-01],
+│ │ [[ 5.2057e-01, 8.7613e-01, 1.2712e+00, ..., -1.3924e+00,
+│ │ -1.6570e+00, -4.7046e-01],
+│ │ [-3.0477e-01, -1.5161e-01, 7.0695e-02, ..., 6.9379e-01,
+│ │ 9.1854e-01, 2.0746e+00],
+│ │ [ 1.3794e+00, -1.0466e+00, 8.3281e-01, ..., 1.5457e+00,
+│ │ -7.1009e-01, 2.2154e+00],
│ │ ...,
-│ │ [ 6.8572e-01, -1.2588e-01, 8.4880e-02, ..., 8.4420e-01,
-│ │ 2.4658e-01, -1.0813e-01],
-│ │ [-6.8481e-01, 1.1048e-01, 3.9769e-01, ..., -1.3293e+00,
-│ │ 1.1016e-01, -1.1891e+00],
-│ │ [ 1.1548e-01, -5.1459e-01, -1.0049e+00, ..., 5.9210e-01,
-│ │ -4.9300e-02, -1.0864e+00]],
+│ │ [ 2.9532e-03, -1.1554e+00, 9.3043e-01, ..., -1.9736e+00,
+│ │ -3.7576e-01, -6.0048e-03],
+│ │ [ 3.6126e-03, 3.6436e-01, -1.7233e-02, ..., -9.1807e-01,
+│ │ -7.6266e-01, 1.1653e+00],
+│ │ [ 1.3277e+00, 5.5857e-01, 2.3059e+00, ..., 5.9185e-01,
+│ │ -2.3587e-01, -9.9459e-01]],
│ │
-│ │ [[-8.0494e-02, -1.4447e-01, 1.8970e-01, ..., 7.9429e-02,
-│ │ 1.2251e-01, 2.3142e-01],
-│ │ [-1.8427e+00, 6.6625e-02, -6.8109e-01, ..., -1.0783e+00,
-│ │ 6.9696e-04, 5.2838e-01],
-│ │ [ 7.5061e-01, -8.1650e-01, 6.6622e-01, ..., 9.4549e-02,
-│ │ -6.0515e-01, 9.6711e-01],
+│ │ [[-3.4702e-01, 4.6528e-01, -9.0827e-01, ..., 1.0888e+00,
+│ │ 9.4971e-01, 1.6856e+00],
+│ │ [ 7.9596e-01, -1.3543e+00, -6.0292e-01, ..., 1.2833e+00,
+│ │ 5.7535e-01, -6.6655e-01],
+│ │ [ 6.5839e-01, -5.5123e-01, -2.6547e-01, ..., 1.3555e+00,
+│ │ 3.7789e-01, 9.4109e-01],
│ │ ...,
-│ │ [-2.0584e-01, 1.5072e+00, -1.0560e+00, ..., -1.4712e-01,
-│ │ -8.4489e-03, -2.0813e+00],
-│ │ [ 2.8160e-01, -5.0490e-01, -9.1210e-01, ..., 5.0702e-01,
-│ │ 6.6591e-02, 1.0139e+00],
-│ │ [ 1.2462e+00, 8.2013e-02, -7.8417e-01, ..., 1.6678e+00,
-│ │ -1.7497e-01, -9.3265e-01]]],
+│ │ [ 1.4631e+00, 7.4407e-01, 2.7360e-01, ..., 5.6651e-02,
+│ │ -3.7861e-01, 7.2893e-01],
+│ │ [ 8.2143e-01, 2.2878e+00, -1.3138e+00, ..., -2.0394e-02,
+│ │ 8.2000e-01, -7.9501e-01],
+│ │ [ 3.0765e+00, 8.0485e-02, 2.6865e-01, ..., 5.2506e-01,
+│ │ 1.2953e-01, -5.9273e-01]]],
│ │
│ │
-│ │ [[[-9.8745e-01, 3.1915e-01, 2.5199e-01, ..., -5.3157e-01,
-│ │ -1.4762e+00, 6.4123e-01],
-│ │ [ 1.4503e+00, -1.2887e+00, -9.6325e-02, ..., 8.0310e-01,
-│ │ -2.2454e-01, 2.0148e+00],
-│ │ [-3.3544e-01, -6.0156e-01, 1.2897e-01, ..., -1.2336e+00,
-│ │ 8.9680e-01, -5.9215e-01],
+│ │ [[[ 3.4317e-01, 1.1314e+00, -6.8336e-01, ..., 2.1832e+00,
+│ │ -2.7894e-01, 1.6760e+00],
+│ │ [ 1.4889e+00, -1.9896e-01, -9.4099e-01, ..., 6.1706e-01,
+│ │ -8.8742e-01, -1.1196e-01],
+│ │ [-9.4908e-01, -1.0887e+00, -6.0330e-01, ..., -5.5512e-01,
+│ │ -3.8219e-01, -1.2652e-02],
│ │ ...,
-│ │ [ 1.2567e+00, 6.9227e-02, -2.3745e-01, ..., 1.1250e+00,
-│ │ -4.6775e-02, -1.4068e+00],
-│ │ [ 5.4711e-01, -5.9058e-01, 1.2349e+00, ..., 4.0604e-02,
-│ │ 7.7954e-01, -1.1888e-01],
-│ │ [ 2.0187e+00, 9.8978e-01, -1.0385e+00, ..., -4.5445e-01,
-│ │ -4.2230e-01, -9.5195e-01]],
+│ │ [ 7.9431e-01, -1.1502e+00, 1.4895e+00, ..., -1.4698e-01,
+│ │ 1.2184e+00, 8.5382e-01],
+│ │ [-6.4445e-02, -2.2225e+00, -5.4690e-01, ..., -2.0598e+00,
+│ │ -1.3593e+00, -7.9731e-02],
+│ │ [-2.8354e-01, 8.1805e-01, 1.0923e+00, ..., 1.0907e+00,
+│ │ 1.7090e+00, -1.5163e+00]],
│ │
-│ │ [[-8.7165e-01, 7.4110e-01, 7.9413e-01, ..., 2.0067e-01,
-│ │ 8.9194e-01, 1.1917e-01],
-│ │ [-2.1244e-02, 9.6092e-01, -1.2029e-01, ..., -5.7001e-02,
-│ │ -2.3356e-01, 3.7758e-01],
-│ │ [ 5.3082e-01, 4.0994e-01, -3.0942e-01, ..., -6.1864e-01,
-│ │ -3.7960e-01, -1.0664e+00],
+│ │ [[-1.5769e+00, -5.5707e-01, 4.9338e-01, ..., 6.7116e-01,
+│ │ 2.2040e+00, 9.8422e-01],
+│ │ [ 7.0554e-01, -2.7463e-01, -1.7156e+00, ..., 1.8026e+00,
+│ │ 5.6302e-01, -4.8707e-03],
+│ │ [-1.6807e+00, -5.0272e-01, 8.9799e-02, ..., 5.2010e-01,
+│ │ 4.6172e-01, 8.4403e-01],
│ │ ...,
-│ │ [ 8.8120e-01, -1.4784e+00, -1.0191e+00, ..., -3.9580e-01,
-│ │ -2.5206e+00, -1.1674e+00],
-│ │ [ 1.1669e+00, -4.3816e-01, 9.8624e-01, ..., -4.8374e-01,
-│ │ 1.0448e+00, 1.2440e-01],
-│ │ [-8.3457e-03, 1.5455e+00, -5.4959e-01, ..., 9.2819e-01,
-│ │ 2.7950e-01, -2.7814e-02]],
+│ │ [-1.2052e+00, -2.0801e+00, -4.4260e-01, ..., 2.3815e+00,
+│ │ -1.7621e-01, 8.7701e-01],
+│ │ [ 6.5739e-01, -1.3604e+00, 6.4278e-01, ..., 1.2173e+00,
+│ │ 2.4539e+00, 2.5511e-01],
+│ │ [ 4.1523e-01, -2.5039e-01, 9.1558e-01, ..., -7.1524e-01,
+│ │ 4.2208e-01, -2.2821e+00]],
│ │
-│ │ [[-8.9864e-01, -5.6367e-01, -1.3595e+00, ..., 6.1835e-01,
-│ │ -5.1218e-01, -2.2253e+00],
-│ │ [ 2.9634e-01, 6.5383e-01, -5.0560e-01, ..., -9.1321e-01,
-│ │ 2.2399e+00, 1.8210e+00],
-│ │ [-1.6173e+00, -1.1827e+00, 9.8450e-01, ..., 1.2807e+00,
-│ │ -2.9720e-02, 1.0472e+00],
+│ │ [[ 5.2290e-02, 4.2350e-01, -2.3668e+00, ..., -1.1222e+00,
+│ │ 5.5377e-01, -2.7341e-01],
+│ │ [-2.0746e+00, -1.3626e+00, 2.8426e-01, ..., -2.1666e-01,
+│ │ 9.5201e-02, -3.7871e-01],
+│ │ [ 7.7273e-01, 1.7305e+00, 6.8991e-01, ..., -9.0683e-01,
+│ │ -1.2237e+00, 3.6481e-01],
│ │ ...,
-│ │ [ 4.6453e-02, 6.9669e-01, -1.2465e-01, ..., -6.2114e-02,
-│ │ 3.8908e-01, -9.3335e-01],
-│ │ [ 1.0193e+00, -2.2200e+00, -2.3004e-01, ..., 1.6969e+00,
-│ │ -1.0210e+00, -2.9745e-01],
-│ │ [-4.9843e-02, 6.7663e-01, -1.4097e-01, ..., -1.1013e+00,
-│ │ -1.1754e+00, -2.7801e+00]]]])
-│ └── 'scalar' --> tensor([[ 1.1617, 0.5607, -1.3019, -0.7056, 0.0471, 0.8767, -0.4263, -0.2994,
-│ 0.3172, 1.5192, -1.1574, -1.3097],
-│ [-1.1499, 0.8819, -0.8381, 1.5392, -2.6838, 1.7237, -1.6525, 3.0053,
-│ -1.8927, -0.9810, 0.3913, 0.4864],
-│ [-1.0949, 0.2940, -1.1485, -0.0171, 0.4233, 0.4848, 0.6069, 1.3460,
-│ -0.8974, 0.6862, 0.0776, -0.4501],
-│ [-0.1024, -0.4229, 0.4697, -0.2060, -1.4679, -0.4829, 1.1780, 0.3903,
-│ -0.4133, 0.3394, 2.1663, -1.5090]])
-└── 'reward' --> tensor([[0.4950],
- [0.4176],
- [0.2743],
- [0.4063]])
+│ │ [ 1.0467e-01, -9.0436e-01, 1.7527e-01, ..., 2.5246e-01,
+│ │ 1.0750e+00, -1.5780e+00],
+│ │ [ 1.4175e+00, 3.6994e-01, 9.3447e-01, ..., 7.8331e-01,
+│ │ 3.8807e-01, -2.7448e-01],
+│ │ [-1.7327e-02, 5.9607e-01, -8.5127e-01, ..., 1.7005e-02,
+│ │ 1.2914e-01, 2.8843e-01]]]])
+│ └── 'scalar' --> tensor([[ 0.0182, -0.5405, -1.7519, -0.5034, -0.3598, -0.1109, -2.2821, -1.3356,
+│ -0.7276, 1.2964, -0.4021, -0.2591],
+│ [-0.1238, 0.1066, -1.3592, -0.7575, -0.3718, -0.2764, 0.1091, 0.6745,
+│ 0.8350, 1.2082, 0.0736, -0.1711],
+│ [ 0.8936, 0.5345, -0.5689, 0.9872, 0.8977, -0.3442, 0.6913, -1.0269,
+│ -1.3273, 2.5048, 0.0281, 0.4067],
+│ [-1.2971, 0.6526, 0.5622, -0.6294, 0.2415, -2.2565, -0.9869, 1.3977,
+│ -0.1032, 0.4351, -1.5680, 1.1364]])
+└── 'reward' --> tensor([[0.8210],
+ [0.9197],
+ [0.2329],
+ [0.4384]])
This code looks much simpler and clearer.
diff --git a/release/0.2.1/searchindex.js b/release/0.2.1/searchindex.js index 9a34fa3c7ecb18ea271acfa237ef786b5ac3bf51..64c30485c024041cb6df25ed3fd390d76d196019 100644 --- a/release/0.2.1/searchindex.js +++ b/release/0.2.1/searchindex.js @@ -1 +1 @@ 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161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],itself:[16,17],just:[46,184],keep:189,keepdim:[6,7,16,17,61,62,63,69,88,90,114,115,151,152,153,159,179,182],kei:[109,194,195],keyword:[6,7,8,9,11,13,15,16,17,18,20,21,23,24,26,29,30,31,32,33,34,35,36,37,40,42,43,44,45,46,47,48,49,50,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,77,78,80,82,83,84,86,87,88,89,90,91,92,93,94,95,99,100,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwarg:[1,6,7,8,9,11,13,15,16,17,18,20,21,23,24,25,26,29,30,31,32,33,34,36,37,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,83,84,86,87,88,89,90,91,94,95,97,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwreduc:0,kws:191,largest:40,last:[6,7,23,83],layout:[8,32,33,42,43,70,71,73,74,75,76,94,95],lceil:21,lead:86,leaf:[91,126],least:60,leav:86,left:[6,7,21,40],len:[62,83,90,194],length:[11,46],leq:[47,51],less:[11,40,51,58],less_equ:11,let:[24,165],lfloor:40,like:[8,30,32,33,43,46,70,71,75,76,94,95,184,194,195,199],linalg:69,linesep:199,linspac:24,list:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],littl:105,loaded_weight:165,locat:[11,61,63],log10:[19,54,96,116,145,188],log10_:[19,96,116,188],log2:[19,56,96,116,147,188],log2_:[19,96,116,188],log:[19,36,57,96,116,148,188],log_:[19,52,53,55,96,116,188],logarithm:[52,53,55],logic:[6,7,60],longtensor:[46,93],look:[60,195],low:[73,74],lower:24,lowest:[73,74],lvert:47,made:8,mai:[6,7,69,77,125],main:[165,197],mainli:189,major:8,make:[77,126,165,195],mapper:191,mark:193,mask:[59,149],masked_select:[19,96,116,188],mat1:64,mat2:[64,154],mat:8,match:[16,17,59,183],math:[36,47],mathcal:75,mathemat:69,matmul:[19,64,96,116,188],matric:64,matrix:[8,60,64,69],matrix_norm:69,max:[19,24,25,96,116,120,121,188,194],max_indic:61,max_valu:24,maxim:61,maximum:61,mean0:194,mean1:194,mean:[19,75,76,96,116,137,188,194],mean_b:194,mean_b_list:194,meet:8,member:189,memori:[8,26,32,33,43,71,74,76,91,95,123,124,183],memory_format:[26,32,33,43,71,74,76,95,122,123,124,183],meta:[4,196,197],metaclass:2,meth:[178,186],method:[6,7,8,100,109,125,126,166],min:[19,24,25,96,116,120,121,188],min_indic:63,min_valu:24,minim:63,minimum:[8,63],mode:[125,126],modif:[125,195],modifi:2,modul:[193,196],module_autoremov:192,moduletyp:193,more:[6,7,8,69,195],most:8,move:184,much:[194,195],mul:[19,96,116,156,188],mul_:[96,116,188],multipl:[6,7,60,61,63,64],multipli:[15,60,64,65,89],multiplicand:65,must:[6,7,11,15,20,29,31,59,60,65,69,72,93,112,195],myclass:193,name:[109,189],namedtupl:[61,63],nan:[6,7,9,47,48,49,50,52,53,54,55,56,57,84,85],nativ:[105,194,196,199],natur:52,ndarrai:[6,7,8,11,18,91,161],ndmin:8,necessari:[46,184],necessarili:8,need:[8,46,59,87,109,195],neg:[6,7,19,48,49,68,92,96,116,158,188],neg_:[19,96,116,188],neither:[8,69],neq:66,nest:[8,184,198],never:[125,126],newest:197,newli:8,nois:194,non:[6,7,20,60,66],non_block:[124,183],none:[3,6,7,8,11,13,15,16,17,18,20,21,24,30,31,32,33,34,36,37,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,84,86,87,88,89,90,91,94,95,100,114,115,120,121,124,128,129,151,152,153,159,177,178,179,182,183],nonfinit:47,nonzero:93,nor:[8,69],norm:[19,29,96,116,188],normal:[75,76],not_equ:11,note:[11,60,69,125],now:[7,125,165],nuc:69,nuclear:69,number:[6,7,8,11,15,23,24,30,31,32,34,43,44,45,46,51,58,65,66,69,70,72,73,74,75,76,77,87,94,99,166,184],numel:[96,98,116,188],numpi:[1,16,17,18,30,31,91,96,97,99,100,101,116,188,196],obei:[75,76],obj:[8,109,193],object:[0,2,6,7,8,11,99,100,101,105,123,124,164,184,193,196,198],obs:195,obtain:165,occur:69,occurr:99,often:195,old:[71,95],one:[6,7,8,11,60,69,77,86,92,125],ones:[8,11,19,32,42,71,74,76,93,96],ones_lik:[8,19,33,43,96],onli:[8,11,31,32,47,60,69,77,86,91],onto:2,opendilab:197,oper:[11,20,26,30,32,33,42,43,60,64,69,70,71,72,73,74,75,76,86,90,91,93,94,95,165,184,196,198],operatornam:82,option:[6,7,8,11,13,15,16,17,18,20,21,24,26,29,30,32,33,34,36,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,91,94,95,123,124,183],ord:69,order:[8,11,69],origin:[11,26,46,59,83,97,105,123,124,125,183],other:[8,11,15,18,29,30,31,34,35,44,45,46,47,51,58,60,61,63,65,66,86,89,91,102,103,104,106,107,108,112,113,127,128,129,130,139,155,156,180,181,183],otherwis:[8,9,15,16,17,18,35,61,62,63,65,77,88,90,93,124,183],out:[6,7,8,11,13,15,16,17,20,21,24,30,31,32,34,36,37,40,42,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,75,78,80,82,84,86,87,88,89,91,93,94,95,165,197],output:[6,7,11,13,15,16,17,20,21,24,30,32,33,34,36,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,94,95,194,195,198,199],over:[6,7,11,20,62,90],overflow:90,overview:[1,2,5,109,193],p_object:8,packag:[5,198],paramet:60,part:[48,49,50,193],partial:199,pass:[6,7,8,11,91,193,194,195],pend:8,pep8:198,perform:[6,7,18,30,64,69,90,123,124,183],pin:[32,91,124,183],pin_memori:[32,91],pip:[197,198],piter:3,place:[6,7,14,22,25,28,38,39,41,54,56,57,68,79,81,85,111,113,118,121,125,126,129,133,134,136,145,147,148,156,158,163,165,168,171,173,176,178,181,186],pleas:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],plugin:196,point:69,posit:[6,7,49,92],possibl:[11,77,83,166,183],potc:196,pow:[19,96,116,163,165,188,194],pow_:[96,116,188],power:[72,197],practic:196,pre:8,prepend:60,preprocess:165,present:100,preserv:[6,7,8],preserve_format:[26,33,43,71,74,76,95,122,123,124,183],prevent:90,previous:125,print:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,194,195,197,198,199],print_tre:0,process:195,produc:[61,63,69],product:[31,60,64],project:5,promot:[30,89],properli:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],properti:[109,137,164,169],protect:109,protocol:8,provid:[8,11,20,109],pseudorandom:[73,75],purpos:60,pypi:197,python:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,197],pytorch:[13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,196],quick:196,rais:[6,7,100,195],rand:[16,17,53,55,194,195],randint:[19,20,23,83,86,87,92,93,96,194,195,198],randint_lik:[19,96],randn:[15,17,19,20,21,24,27,28,29,33,40,43,46,52,59,60,61,62,63,64,65,67,69,71,72,76,78,84,88,90,93,95,96,137,164,165,183,184,194,195,198,199],randn_lik:[19,96],random:[73,74,75,76,199],rang:[24,73,74,92,194,195],rceil:21,read:91,real:[9,15,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172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],itself:[16,17],just:[46,184],keep:189,keepdim:[6,7,16,17,61,62,63,69,88,90,114,115,151,152,153,159,179,182],kei:[109,194,195],keyword:[6,7,8,9,11,13,15,16,17,18,20,21,23,24,26,29,30,31,32,33,34,35,36,37,40,42,43,44,45,46,47,48,49,50,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,77,78,80,82,83,84,86,87,88,89,90,91,92,93,94,95,99,100,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwarg:[1,6,7,8,9,11,13,15,16,17,18,20,21,23,24,25,26,29,30,31,32,33,34,36,37,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,83,84,86,87,88,89,90,91,94,95,97,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],kwreduc:0,kws:191,largest:40,last:[6,7,23,83],layout:[8,32,33,42,43,70,71,73,74,75,76,94,95],lceil:21,lead:86,leaf:[91,126],least:60,leav:86,left:[6,7,21,40],len:[62,83,90,194],length:[11,46],leq:[47,51],less:[11,40,51,58],less_equ:11,let:[24,165],lfloor:40,like:[8,30,32,33,43,46,70,71,75,76,94,95,184,194,195,199],linalg:69,linesep:199,linspac:24,list:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],littl:105,loaded_weight:165,locat:[11,61,63],log10:[19,54,96,116,145,188],log10_:[19,96,116,188],log2:[19,56,96,116,147,188],log2_:[19,96,116,188],log:[19,36,57,96,116,148,188],log_:[19,52,53,55,96,116,188],logarithm:[52,53,55],logic:[6,7,60],longtensor:[46,93],look:[60,195],low:[73,74],lower:24,lowest:[73,74],lvert:47,made:8,mai:[6,7,69,77,125],main:[165,197],mainli:189,major:8,make:[77,126,165,195],mapper:191,mark:193,mask:[59,149],masked_select:[19,96,116,188],mat1:64,mat2:[64,154],mat:8,match:[16,17,59,183],math:[36,47],mathcal:75,mathemat:69,matmul:[19,64,96,116,188],matric:64,matrix:[8,60,64,69],matrix_norm:69,max:[19,24,25,96,116,120,121,188,194],max_indic:61,max_valu:24,maxim:61,maximum:61,mean0:194,mean1:194,mean:[19,75,76,96,116,137,188,194],mean_b:194,mean_b_list:194,meet:8,member:189,memori:[8,26,32,33,43,71,74,76,91,95,123,124,183],memory_format:[26,32,33,43,71,74,76,95,122,123,124,183],meta:[4,196,197],metaclass:2,meth:[178,186],method:[6,7,8,100,109,125,126,166],min:[19,24,25,96,116,120,121,188],min_indic:63,min_valu:24,minim:63,minimum:[8,63],mode:[125,126],modif:[125,195],modifi:2,modul:[193,196],module_autoremov:192,moduletyp:193,more:[6,7,8,69,195],most:8,move:184,much:[194,195],mul:[19,96,116,156,188],mul_:[96,116,188],multipl:[6,7,60,61,63,64],multipli:[15,60,64,65,89],multiplicand:65,must:[6,7,11,15,20,29,31,59,60,65,69,72,93,112,195],myclass:193,name:[109,189],namedtupl:[61,63],nan:[6,7,9,47,48,49,50,52,53,54,55,56,57,84,85],nativ:[105,194,196,199],natur:52,ndarrai:[6,7,8,11,18,91,161],ndmin:8,necessari:[46,184],necessarili:8,need:[8,46,59,87,109,195],neg:[6,7,19,48,49,68,92,96,116,158,188],neg_:[19,96,116,188],neither:[8,69],neq:66,nest:[8,184,198],never:[125,126],newest:197,newli:8,nois:194,non:[6,7,20,60,66],non_block:[124,183],none:[3,6,7,8,11,13,15,16,17,18,20,21,24,30,31,32,33,34,36,37,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,80,82,84,86,87,88,89,90,91,94,95,100,114,115,120,121,124,128,129,151,152,153,159,177,178,179,182,183],nonfinit:47,nonzero:93,nor:[8,69],norm:[19,29,96,116,188],normal:[75,76],not_equ:11,note:[11,60,69,125],now:[7,125,165],nuc:69,nuclear:69,number:[6,7,8,11,15,23,24,30,31,32,34,43,44,45,46,51,58,65,66,69,70,72,73,74,75,76,77,87,94,99,166,184],numel:[96,98,116,188],numpi:[1,16,17,18,30,31,91,96,97,99,100,101,116,188,196],obei:[75,76],obj:[8,109,193],object:[0,2,6,7,8,11,99,100,101,105,123,124,164,184,193,196,198],obs:195,obtain:165,occur:69,occurr:99,often:195,old:[71,95],one:[6,7,8,11,60,69,77,86,92,125],ones:[8,11,19,32,42,71,74,76,93,96],ones_lik:[8,19,33,43,96],onli:[8,11,31,32,47,60,69,77,86,91],onto:2,opendilab:197,oper:[11,20,26,30,32,33,42,43,60,64,69,70,71,72,73,74,75,76,86,90,91,93,94,95,165,184,196,198],operatornam:82,option:[6,7,8,11,13,15,16,17,18,20,21,24,26,29,30,32,33,34,36,40,42,43,44,45,46,47,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,91,94,95,123,124,183],ord:69,order:[8,11,69],origin:[11,26,46,59,83,97,105,123,124,125,183],other:[8,11,15,18,29,30,31,34,35,44,45,46,47,51,58,60,61,63,65,66,86,89,91,102,103,104,106,107,108,112,113,127,128,129,130,139,155,156,180,181,183],otherwis:[8,9,15,16,17,18,35,61,62,63,65,77,88,90,93,124,183],out:[6,7,8,11,13,15,16,17,20,21,24,30,31,32,34,36,37,40,42,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,75,78,80,82,84,86,87,88,89,91,93,94,95,165,197],output:[6,7,11,13,15,16,17,20,21,24,30,32,33,34,36,40,42,43,44,45,46,51,52,53,55,58,59,60,61,62,63,64,65,66,67,69,70,71,72,73,74,75,76,78,82,84,86,87,88,89,90,94,95,194,195,198,199],over:[6,7,11,20,62,90],overflow:90,overview:[1,2,5,109,193],p_object:8,packag:[5,198],paramet:60,part:[48,49,50,193],partial:199,pass:[6,7,8,11,91,193,194,195],pend:8,pep8:198,perform:[6,7,18,30,64,69,90,123,124,183],pin:[32,91,124,183],pin_memori:[32,91],pip:[197,198],piter:3,place:[6,7,14,22,25,28,38,39,41,54,56,57,68,79,81,85,111,113,118,121,125,126,129,133,134,136,145,147,148,156,158,163,165,168,171,173,176,178,181,186],pleas:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],plugin:196,point:69,posit:[6,7,49,92],possibl:[11,77,83,166,183],potc:196,pow:[19,96,116,163,165,188,194],pow_:[96,116,188],power:[72,197],practic:196,pre:8,prepend:60,preprocess:165,present:100,preserv:[6,7,8],preserve_format:[26,33,43,71,74,76,95,122,123,124,183],prevent:90,previous:125,print:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,194,195,197,198,199],print_tre:0,process:195,produc:[61,63,69],product:[31,60,64],project:5,promot:[30,89],properli:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187],properti:[109,137,164,169],protect:109,protocol:8,provid:[8,11,20,109],pseudorandom:[73,75],purpos:60,pypi:197,python:[6,7,8,9,11,13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,197],pytorch:[13,14,15,16,17,18,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,99,100,101,105,110,111,112,113,114,115,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,165,166,167,168,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,196],quick:196,rais:[6,7,100,195],rand:[16,17,53,55,194,195],randint:[19,20,23,83,86,87,92,93,96,194,195,198],randint_lik:[19,96],randn:[15,17,19,20,21,24,27,28,29,33,40,43,46,52,59,60,61,62,63,64,65,67,69,71,72,76,78,84,88,90,93,95,96,137,164,165,183,184,194,195,198,199],randn_lik:[19,96],random:[73,74,75,76,199],rang:[24,73,74,92,194,195],rceil:21,read:91,real:[9,15,48,49,50,65],realloc:46,reason:8,rec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\ No newline at end of file diff --git a/release/0.2.1/tutorials/plugins/index.html b/release/0.2.1/tutorials/plugins/index.html index 95731be5f769c11d7bd4c117a2150511ec637f5a..63b5d8bbef1b7b046593afc2abfd82074026eb8e 100644 --- a/release/0.2.1/tutorials/plugins/index.html +++ b/release/0.2.1/tutorials/plugins/index.html @@ -264,32 +264,32 @@ from treetensor.torch import Size __all__ = ['t_i_tensor', 't_shape', 't_tensor'] t_i_tensor = Tensor({ 'x': { - 'b': torch.as_tensor([[7, 1, 0], [5, -5, -4]], dtype=torch.long) + 'b': torch.as_tensor([[7, 6, 0], [-3, -4, 9]], dtype=torch.long) }, 'a': - torch.as_tensor([[2, 0, 7, -4], [-5, -5, 0, -1], [8, 4, 5, 6]], + torch.as_tensor([[3, 7, 9, -2], [-3, -5, 7, 0], [-5, -5, 0, -5]], dtype=torch.long) }) -t_shape = Size({'x': {'b': torch.Size([2, 3])}, 'a': torch.Size([3, 4])}) +t_shape = Size({'a': torch.Size([3, 4]), 'x': {'b': torch.Size([2, 3])}}) t_tensor = Tensor({ 'b': torch.as_tensor([[ - -1.3943740129470825, -0.2207619696855545, -0.17166288197040558, - -0.857712984085083 + -0.38206031918525696, 0.6788594722747803, -0.23213396966457367, + 1.928118109703064 ], [ - -0.6194618940353394, 0.7380053997039795, - 3.1427223682403564, 1.3266047239303589 + 0.37300634384155273, 1.1249165534973145, + -1.0201497077941895, 0.37178605794906616 ], [ - 0.2839736044406891, -2.5695958137512207, - -0.5280383825302124, -0.934900164604187 + -0.6077229380607605, 0.9032385349273682, + -0.1778857409954071, -0.10793522000312805 ]], dtype=torch.float32), 'a': torch.as_tensor( - [[0.8214532136917114, -0.4449833035469055, -0.3318253755569458], - [1.4528236389160156, 0.4284818470478058, -0.2705201804637909]], + [[1.2553828954696655, -2.0956244468688965, -1.0188722610473633], + [0.5753659009933472, -0.16675513982772827, 0.44448933005332947]], dtype=torch.float32) }) diff --git a/release/0.2.1/tutorials/quick_start/index.html b/release/0.2.1/tutorials/quick_start/index.html index bb550b7bc1c0393807ecf9b9eaab87307ae2e01c..71204a96ad6b78020d48e18a5471cf586799f910 100644 --- a/release/0.2.1/tutorials/quick_start/index.html +++ b/release/0.2.1/tutorials/quick_start/index.html @@ -258,23 +258,23 @@ tensor([[1, 2, 3], [4, 5, 6]]) new tree tensor: -<Tensor 0x7f85eb93b2d0> +<Tensor 0x7f1a6bbb5290> ├── 'a' --> tensor([1, 2, 3]) -└── 'b' --> <Tensor 0x7f85eb93b550> +└── 'b' --> <Tensor 0x7f1a6bbb55d0> └── 'x' --> tensor([[4, 5], [6, 7]]) new random native tensor: -tensor([[-0.8865, -0.7322, 0.6840], - [ 1.4727, 0.3761, -0.8079]]) +tensor([[ 0.0335, -0.9005, -1.0307], + [ 1.5553, -0.2683, -1.1199]]) new random tree tensor: -<Tensor 0x7f858880b710> -├── 'a' --> tensor([[ 0.7095, 0.5648, 0.9841], -│ [-0.6075, -0.5133, -1.3820]]) -└── 'b' --> <Tensor 0x7f858880b0d0> - └── 'x' --> tensor([[ 0.4868, 0.3403, -0.5893, -1.0554], - [ 1.1474, 0.9357, -0.4134, -1.6634], - [-0.6906, 0.4997, 0.0531, -0.0858]]) +<Tensor 0x7f1a08a8a790> +├── 'a' --> tensor([[ 0.3381, 1.3135, -0.6303], +│ [ 0.1519, 0.1256, -1.2571]]) +└── 'b' --> <Tensor 0x7f1a08a8a150> + └── 'x' --> tensor([[-1.5502, 0.4756, 0.8329, -0.1812], + [-1.2384, 0.3359, -0.9997, 1.8583], + [ 0.1697, -1.8374, 0.3980, -0.6473]])