diff --git a/python/paddle/tensor/stat.py b/python/paddle/tensor/stat.py index 399ca0473d7d97f534b522245ac495b9bd3b8f2e..30d1ee80279cf6fb99e390f85f3f344a54921c9e 100644 --- a/python/paddle/tensor/stat.py +++ b/python/paddle/tensor/stat.py @@ -56,28 +56,32 @@ def mean(x, axis=None, keepdim=False, name=None): Examples: .. code-block:: python - import paddle - - x = paddle.to_tensor([[[1., 2., 3., 4.], - [5., 6., 7., 8.], - [9., 10., 11., 12.]], - [[13., 14., 15., 16.], - [17., 18., 19., 20.], - [21., 22., 23., 24.]]]) - out1 = paddle.mean(x) - # 12.5 - out2 = paddle.mean(x, axis=-1) - # [[ 2.5 6.5 10.5] - # [14.5 18.5 22.5]] - out3 = paddle.mean(x, axis=-1, keepdim=True) - # [[[ 2.5] - # [ 6.5] - # [10.5]] - # [[14.5] - # [18.5] - # [22.5]]] - out4 = paddle.mean(x, axis=[0, 2]) - # [ 8.5 12.5 16.5] + >>> import paddle + + >>> x = paddle.to_tensor([[[1., 2., 3., 4.], + ... [5., 6., 7., 8.], + ... [9., 10., 11., 12.]], + ... [[13., 14., 15., 16.], + ... [17., 18., 19., 20.], + ... [21., 22., 23., 24.]]]) + >>> out1 = paddle.mean(x) + >>> print(out1.numpy()) + 12.5 + >>> out2 = paddle.mean(x, axis=-1) + >>> print(out2.numpy()) + [[ 2.5 6.5 10.5] + [14.5 18.5 22.5]] + >>> out3 = paddle.mean(x, axis=-1, keepdim=True) + >>> print(out3.numpy()) + [[[ 2.5] + [ 6.5] + [10.5]] + [[14.5] + [18.5] + [22.5]]] + >>> out4 = paddle.mean(x, axis=[0, 2]) + >>> print(out4.numpy()) + [ 8.5 12.5 16.5] """ if in_dynamic_mode(): return _C_ops.mean(x, axis, keepdim) @@ -138,13 +142,15 @@ def var(x, axis=None, unbiased=True, keepdim=False, name=None): Examples: .. code-block:: python - import paddle + >>> import paddle - x = paddle.to_tensor([[1.0, 2.0, 3.0], [1.0, 4.0, 5.0]]) - out1 = paddle.var(x) - # 2.66666667 - out2 = paddle.var(x, axis=1) - # [1. 4.33333333] + >>> x = paddle.to_tensor([[1.0, 2.0, 3.0], [1.0, 4.0, 5.0]]) + >>> out1 = paddle.var(x) + >>> print(out1.numpy()) + 2.6666667 + >>> out2 = paddle.var(x, axis=1) + >>> print(out2.numpy()) + [1. 4.3333335] """ if not in_dynamic_mode(): check_variable_and_dtype( @@ -203,15 +209,18 @@ def std(x, axis=None, unbiased=True, keepdim=False, name=None): Examples: .. code-block:: python - import paddle + >>> import paddle - x = paddle.to_tensor([[1.0, 2.0, 3.0], [1.0, 4.0, 5.0]]) - out1 = paddle.std(x) - # 1.63299316 - out2 = paddle.std(x, unbiased=False) - # 1.49071205 - out3 = paddle.std(x, axis=1) - # [1. 2.081666] + >>> x = paddle.to_tensor([[1.0, 2.0, 3.0], [1.0, 4.0, 5.0]]) + >>> out1 = paddle.std(x) + >>> print(out1.numpy()) + 1.6329932 + >>> out2 = paddle.std(x, unbiased=False) + >>> print(out2.numpy()) + 1.490712 + >>> out3 = paddle.std(x, axis=1) + >>> print(out3.numpy()) + [1. 2.081666] """ if not in_dynamic_mode(): @@ -237,10 +246,12 @@ def numel(x, name=None): Examples: .. code-block:: python - import paddle + >>> import paddle - x = paddle.full(shape=[4, 5, 7], fill_value=0, dtype='int32') - numel = paddle.numel(x) # 140 + >>> x = paddle.full(shape=[4, 5, 7], fill_value=0, dtype='int32') + >>> numel = paddle.numel(x) + >>> print(numel.numpy()) + 140 """ @@ -285,20 +296,24 @@ def nanmedian(x, axis=None, keepdim=False, name=None): Examples: .. code-block:: python - import paddle - x = paddle.to_tensor([[float('nan'), 2. , 3. ], [0. , 1. , 2. ]]) + >>> import paddle + >>> x = paddle.to_tensor([[float('nan'), 2. , 3. ], [0. , 1. , 2. ]]) - y1 = x.nanmedian() - # y1 is 2. + >>> y1 = x.nanmedian() + >>> print(y1.numpy()) + 2.0 - y2 = x.nanmedian(0) - # y2 is [0., 1.5, 2.5] + >>> y2 = x.nanmedian(0) + >>> print(y2.numpy()) + [0. 1.5 2.5] - y3 = x.nanmedian(0, keepdim=True) - # y3 is [[0., 1.5, 2.5]] + >>> y3 = x.nanmedian(0, keepdim=True) + >>> print(y3.numpy()) + [[0. 1.5 2.5]] - y4 = x.nanmedian((0, 1)) - # y4 is 2. + >>> y4 = x.nanmedian((0, 1)) + >>> print(y4.numpy()) + 2.0 """ if not isinstance(x, Variable): raise TypeError("In median, the input x should be a Tensor.") @@ -360,29 +375,34 @@ def median(x, axis=None, keepdim=False, name=None): Examples: .. code-block:: python - import paddle + >>> import paddle - x = paddle.arange(12).reshape([3, 4]) - # Tensor(shape=[3, 4], dtype=int64, place=Place(cpu), stop_gradient=True, - # [[0 , 1 , 2 , 3 ], - # [4 , 5 , 6 , 7 ], - # [8 , 9 , 10, 11]]) + >>> x = paddle.arange(12).reshape([3, 4]) + >>> print(x) + Tensor(shape=[3, 4], dtype=int64, place=Place(cpu), stop_gradient=True, + [[0 , 1 , 2 , 3 ], + [4 , 5 , 6 , 7 ], + [8 , 9 , 10, 11]]) - y1 = paddle.median(x) - # Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True, - # 5.50000000) + >>> y1 = paddle.median(x) + >>> print(y1) + Tensor(shape=[], dtype=float32, place=Place(cpu), stop_gradient=True, + 5.50000000) - y2 = paddle.median(x, axis=0) - # Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, - # [4., 5., 6., 7.]) + >>> y2 = paddle.median(x, axis=0) + >>> print(y2) + Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True, + [4., 5., 6., 7.]) - y3 = paddle.median(x, axis=1) - # Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True, - # [1.50000000, 5.50000000, 9.50000000]) + >>> y3 = paddle.median(x, axis=1) + >>> print(y3) + Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True, + [1.50000000, 5.50000000, 9.50000000]) - y4 = paddle.median(x, axis=0, keepdim=True) - # Tensor(shape=[1, 4], dtype=float32, place=Place(cpu), stop_gradient=True, - # [[4., 5., 6., 7.]]) + >>> y4 = paddle.median(x, axis=0, keepdim=True) + >>> print(y4) + Tensor(shape=[1, 4], dtype=float32, place=Place(cpu), stop_gradient=True, + [[4., 5., 6., 7.]]) """ if not isinstance(x, Variable): @@ -607,35 +627,40 @@ def quantile(x, q, axis=None, keepdim=False): Examples: .. code-block:: python - import paddle - - y = paddle.arange(0, 8 ,dtype="float32").reshape([4, 2]) - # Tensor(shape=[4, 2], dtype=float32, place=Place(cpu), stop_gradient=True, - # [[0., 1.], - # [2., 3.], - # [4., 5.], - # [6., 7.]]) - - y1 = paddle.quantile(y, q=0.5, axis=[0, 1]) - # Tensor(shape=[], dtype=float64, place=Place(cpu), stop_gradient=True, - # 3.50000000) - - y2 = paddle.quantile(y, q=0.5, axis=1) - # Tensor(shape=[4], dtype=float64, place=Place(cpu), stop_gradient=True, - # [0.50000000, 2.50000000, 4.50000000, 6.50000000]) - - y3 = paddle.quantile(y, q=[0.3, 0.5], axis=0) - # Tensor(shape=[2, 2], dtype=float64, place=Place(cpu), stop_gradient=True, - # [[1.80000000, 2.80000000], - # [3. , 4. ]]) - - y[0,0] = float("nan") - y4 = paddle.quantile(y, q=0.8, axis=1, keepdim=True) - # Tensor(shape=[4, 1], dtype=float64, place=Place(cpu), stop_gradient=True, - # [[nan ], - # [2.80000000], - # [4.80000000], - # [6.80000000]]) + >>> import paddle + + >>> y = paddle.arange(0, 8 ,dtype="float32").reshape([4, 2]) + >>> print(y) + Tensor(shape=[4, 2], dtype=float32, place=Place(cpu), stop_gradient=True, + [[0., 1.], + [2., 3.], + [4., 5.], + [6., 7.]]) + + >>> y1 = paddle.quantile(y, q=0.5, axis=[0, 1]) + >>> print(y1) + Tensor(shape=[], dtype=float64, place=Place(cpu), stop_gradient=True, + 3.50000000) + + >>> y2 = paddle.quantile(y, q=0.5, axis=1) + >>> print(y2) + Tensor(shape=[4], dtype=float64, place=Place(cpu), stop_gradient=True, + [0.50000000, 2.50000000, 4.50000000, 6.50000000]) + + >>> y3 = paddle.quantile(y, q=[0.3, 0.5], axis=0) + >>> print(y3) + Tensor(shape=[2, 2], dtype=float64, place=Place(cpu), stop_gradient=True, + [[1.80000000, 2.80000000], + [3. , 4. ]]) + + >>> y[0,0] = float("nan") + >>> y4 = paddle.quantile(y, q=0.8, axis=1, keepdim=True) + >>> print(y4) + Tensor(shape=[4, 1], dtype=float64, place=Place(cpu), stop_gradient=True, + [[nan ], + [2.80000000], + [4.80000000], + [6.80000000]]) """ return _compute_quantile(x, q, axis=axis, keepdim=keepdim, ignore_nan=False) @@ -670,37 +695,42 @@ def nanquantile(x, q, axis=None, keepdim=False): Examples: .. code-block:: python - import paddle - - x = paddle.to_tensor( - [[0, 1, 2, 3, 4], - [5, 6, 7, 8, 9]], - dtype="float32") - x[0,0] = float("nan") - - y1 = paddle.nanquantile(x, q=0.5, axis=[0, 1]) - # Tensor(shape=[], dtype=float64, place=Place(cpu), stop_gradient=True, - # 5.) - - y2 = paddle.nanquantile(x, q=0.5, axis=1) - # Tensor(shape=[2], dtype=float64, place=Place(cpu), stop_gradient=True, - # [2.50000000, 7. ]) - - y3 = paddle.nanquantile(x, q=[0.3, 0.5], axis=0) - # Tensor(shape=[2, 5], dtype=float64, place=Place(cpu), stop_gradient=True, - # [[5. , 2.50000000, 3.50000000, 4.50000000, 5.50000000], - # [5. , 3.50000000, 4.50000000, 5.50000000, 6.50000000]]) - - y4 = paddle.nanquantile(x, q=0.8, axis=1, keepdim=True) - # Tensor(shape=[2, 1], dtype=float64, place=Place(cpu), stop_gradient=True, - # [[3.40000000], - # [8.20000000]]) - - nan = paddle.full(shape=[2, 3], fill_value=float("nan")) - y5 = paddle.nanquantile(nan, q=0.8, axis=1, keepdim=True) - # Tensor(shape=[2, 1], dtype=float64, place=Place(cpu), stop_gradient=True, - # [[nan], - # [nan]]) + >>> import paddle + + >>> x = paddle.to_tensor( + ... [[0, 1, 2, 3, 4], + ... [5, 6, 7, 8, 9]], + ... dtype="float32") + >>> x[0,0] = float("nan") + + >>> y1 = paddle.nanquantile(x, q=0.5, axis=[0, 1]) + >>> print(y1) + Tensor(shape=[], dtype=float64, place=Place(cpu), stop_gradient=True, + 5.) + + >>> y2 = paddle.nanquantile(x, q=0.5, axis=1) + >>> print(y2) + Tensor(shape=[2], dtype=float64, place=Place(cpu), stop_gradient=True, + [2.50000000, 7. ]) + + >>> y3 = paddle.nanquantile(x, q=[0.3, 0.5], axis=0) + >>> print(y3) + Tensor(shape=[2, 5], dtype=float64, place=Place(cpu), stop_gradient=True, + [[5. , 2.50000000, 3.50000000, 4.50000000, 5.50000000], + [5. , 3.50000000, 4.50000000, 5.50000000, 6.50000000]]) + + >>> y4 = paddle.nanquantile(x, q=0.8, axis=1, keepdim=True) + >>> print(y4) + Tensor(shape=[2, 1], dtype=float64, place=Place(cpu), stop_gradient=True, + [[3.40000000], + [8.20000000]]) + + >>> nan = paddle.full(shape=[2, 3], fill_value=float("nan")) + >>> y5 = paddle.nanquantile(nan, q=0.8, axis=1, keepdim=True) + >>> print(y5) + Tensor(shape=[2, 1], dtype=float64, place=Place(cpu), stop_gradient=True, + [[nan], + [nan]]) """ return _compute_quantile(x, q, axis=axis, keepdim=keepdim, ignore_nan=True) diff --git a/python/paddle/tensor/to_string.py b/python/paddle/tensor/to_string.py index a601808494123e12165de8e0536f37ee2615ecde..9875263b45ab7e1e3299d74db01efb173bbcf91b 100644 --- a/python/paddle/tensor/to_string.py +++ b/python/paddle/tensor/to_string.py @@ -55,23 +55,20 @@ def set_printoptions( Examples: .. code-block:: python - import paddle - - paddle.seed(10) - a = paddle.rand([10, 20]) - paddle.set_printoptions(4, 100, 3) - print(a) - - ''' - Tensor(shape=[10, 20], dtype=float32, place=CUDAPlace(0), stop_gradient=True, - [[0.0002, 0.8503, 0.0135, ..., 0.9508, 0.2621, 0.6661], - [0.9710, 0.2605, 0.9950, ..., 0.4427, 0.9241, 0.9363], - [0.0948, 0.3226, 0.9955, ..., 0.1198, 0.0889, 0.9231], - ..., - [0.7206, 0.0941, 0.5292, ..., 0.4856, 0.1379, 0.0351], - [0.1745, 0.5621, 0.3602, ..., 0.2998, 0.4011, 0.1764], - [0.0728, 0.7786, 0.0314, ..., 0.2583, 0.1654, 0.0637]]) - ''' + >>> import paddle + + >>> paddle.seed(10) + >>> a = paddle.rand([10, 20]) + >>> paddle.set_printoptions(4, 100, 3) + >>> print(a) + Tensor(shape=[10, 20], dtype=float32, place=Place(cpu), stop_gradient=True, + [[0.2727, 0.5489, 0.8655, ..., 0.2916, 0.8525, 0.9000], + [0.3806, 0.8996, 0.0928, ..., 0.9535, 0.8378, 0.6409], + [0.1484, 0.4038, 0.8294, ..., 0.0148, 0.6520, 0.4250], + ..., + [0.3426, 0.1909, 0.7240, ..., 0.4218, 0.2676, 0.5679], + [0.5561, 0.2081, 0.0676, ..., 0.9778, 0.3302, 0.9559], + [0.2665, 0.8483, 0.5389, ..., 0.4956, 0.6862, 0.9178]]) """ kwargs = {} diff --git a/python/paddle/utils/download.py b/python/paddle/utils/download.py index e8f73aaa71b1f29eea3f0b2998157fa47949e2dd..95fb9b539a7a5e5d8295f12d48848af90291f44f 100644 --- a/python/paddle/utils/download.py +++ b/python/paddle/utils/download.py @@ -84,10 +84,10 @@ def get_weights_path_from_url(url, md5sum=None): Examples: .. code-block:: python - from paddle.utils.download import get_weights_path_from_url + >>> from paddle.utils.download import get_weights_path_from_url - resnet18_pretrained_weight_url = 'https://paddle-hapi.bj.bcebos.com/models/resnet18.pdparams' - local_weight_path = get_weights_path_from_url(resnet18_pretrained_weight_url) + >>> resnet18_pretrained_weight_url = 'https://paddle-hapi.bj.bcebos.com/models/resnet18.pdparams' + >>> local_weight_path = get_weights_path_from_url(resnet18_pretrained_weight_url) """ path = get_path_from_url(url, WEIGHTS_HOME, md5sum) diff --git a/python/paddle/utils/install_check.py b/python/paddle/utils/install_check.py index a803962f3e83d123d17b582b49fd52503c9b670a..184b49c05d2c4b5ed1b5ad6b69545b41c5e0cfd3 100644 --- a/python/paddle/utils/install_check.py +++ b/python/paddle/utils/install_check.py @@ -218,15 +218,15 @@ def run_check(): Examples: .. code-block:: python - import paddle - - paddle.utils.run_check() - # Running verify PaddlePaddle program ... - # W1010 07:21:14.972093 8321 device_context.cc:338] Please NOTE: device: 0, CUDA Capability: 70, Driver API Version: 11.0, Runtime API Version: 10.1 - # W1010 07:21:14.979770 8321 device_context.cc:346] device: 0, cuDNN Version: 7.6. - # PaddlePaddle works well on 1 GPU. - # PaddlePaddle works well on 8 GPUs. - # PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now. + >>> import paddle + + >>> paddle.utils.run_check() + >>> # doctest: +SKIP('the output will change in different run') + Running verify PaddlePaddle program ... + I0818 15:35:08.335391 30540 program_interpreter.cc:173] New Executor is Running. + I0818 15:35:08.398319 30540 interpreter_util.cc:529] Standalone Executor is Used. + PaddlePaddle works well on 1 CPU. + PaddlePaddle is installed successfully! Let's start deep learning with PaddlePaddle now. """ print("Running verify PaddlePaddle program ... ")