diff --git a/paddle/fluid/API.spec b/paddle/fluid/API.spec old mode 100755 new mode 100644 index ce56ae6e72fba53f2eced8715ffba390ad43b651..1a59d0be4c2593783dfefbefee84693b0fe48b49 --- a/paddle/fluid/API.spec +++ b/paddle/fluid/API.spec @@ -141,7 +141,7 @@ paddle.fluid.layers.split (ArgSpec(args=['input', 'num_or_sections', 'dim', 'nam paddle.fluid.layers.ctc_greedy_decoder (ArgSpec(args=['input', 'blank', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '2bc3a59efa9d52b628a6255422d9f0e8')) paddle.fluid.layers.edit_distance (ArgSpec(args=['input', 'label', 'normalized', 'ignored_tokens', 'input_length', 'label_length'], varargs=None, keywords=None, defaults=(True, None, None, None)), ('document', '77cbfb28cd2fc589f589c7013c5086cd')) paddle.fluid.layers.l2_normalize (ArgSpec(args=['x', 'axis', 'epsilon', 'name'], varargs=None, keywords=None, defaults=(1e-12, None)), ('document', 'c1df110ea65998984f564c5c10abc54a')) -paddle.fluid.layers.matmul (ArgSpec(args=['x', 'y', 'transpose_x', 'transpose_y', 'alpha', 'name'], varargs=None, keywords=None, defaults=(False, False, 1.0, None)), ('document', 'fa2081f6e731bb9de7cd535ca07f523a')) +paddle.fluid.layers.matmul (ArgSpec(args=['x', 'y', 'transpose_x', 'transpose_y', 'alpha', 'name'], varargs=None, keywords=None, defaults=(False, False, 1.0, None)), ('document', '3720b4a386585094435993deb028b592')) paddle.fluid.layers.topk (ArgSpec(args=['input', 'k', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', 'e50940f3ce5a08cc477b72f517491bf3')) paddle.fluid.layers.warpctc (ArgSpec(args=['input', 'label', 'blank', 'norm_by_times', 'use_cudnn'], varargs=None, keywords=None, defaults=(0, False, False)), ('document', '4aa9df890b47eb67d5442f04aaf9eeec')) paddle.fluid.layers.sequence_reshape (ArgSpec(args=['input', 'new_dim'], varargs=None, keywords=None, defaults=None), ('document', 'f568714a876425004aca4ea2d4a27701')) @@ -225,10 +225,10 @@ paddle.fluid.layers.slice (ArgSpec(args=['input', 'axes', 'starts', 'ends'], var paddle.fluid.layers.shape (ArgSpec(args=['input'], varargs=None, keywords=None, defaults=None), ('document', 'bf61c8f79d795a8371bdb3b5468aa82b')) paddle.fluid.layers.rank (ArgSpec(args=['input'], varargs=None, keywords=None, defaults=None), ('document', '096df0e0273145ab80ed119a4c294db3')) paddle.fluid.layers.size (ArgSpec(args=['input'], varargs=None, keywords=None, defaults=None), ('document', 'cf2e156beae36378722666c4c33bebfe')) -paddle.fluid.layers.logical_and (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '1d6777f61831c54bea3a0029e2118448')) -paddle.fluid.layers.logical_or (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '4d51a5a453755e0eb8c5ff6910a00dca')) -paddle.fluid.layers.logical_xor (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '1840f54c5bd5338bdf854980d47bf771')) -paddle.fluid.layers.logical_not (ArgSpec(args=['x', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', 'd8fc1c5a5535736d4cd44c893a9701c9')) +paddle.fluid.layers.logical_and (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '12db97c6c459c0f240ec7006737174f2')) +paddle.fluid.layers.logical_or (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '15adbc561618b7db69671e02009bea67')) +paddle.fluid.layers.logical_xor (ArgSpec(args=['x', 'y', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '77ccf37b710c507dd97e03f08ce8bb29')) +paddle.fluid.layers.logical_not (ArgSpec(args=['x', 'out', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '6e2fe8a322ec69811f6507d22acf8f9f')) paddle.fluid.layers.clip (ArgSpec(args=['x', 'min', 'max', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '0ce33756573c572da67302499455dbcd')) paddle.fluid.layers.clip_by_norm (ArgSpec(args=['x', 'max_norm', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '99a1b9012d9c4495efc89d69958c3be7')) paddle.fluid.layers.mean (ArgSpec(args=['x', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '597257fb94d0597c404a6a5c91ab5258')) @@ -299,7 +299,7 @@ paddle.fluid.layers.zeros (ArgSpec(args=['shape', 'dtype', 'force_cpu'], varargs paddle.fluid.layers.reverse (ArgSpec(args=['x', 'axis'], varargs=None, keywords=None, defaults=None), ('document', '628135603692137d52bcf5a8d8d6816d')) paddle.fluid.layers.has_inf (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '51a0fa1cfaf2507c00a215adacdb8a63')) paddle.fluid.layers.has_nan (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '129cf426e71452fe8276d616a6dc21ae')) -paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', '23c66e5918040fcc11c8fa8c5da1b38e')) +paddle.fluid.layers.isfinite (ArgSpec(args=['x'], varargs=None, keywords=None, defaults=None), ('document', 'b9fff4ffc8d11934cde099f4c39bf841')) paddle.fluid.layers.range (ArgSpec(args=['start', 'end', 'step', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', 'a45b42f21bc5a4e84b60981a3d629ab3')) paddle.fluid.layers.linspace (ArgSpec(args=['start', 'stop', 'num', 'dtype'], varargs=None, keywords=None, defaults=None), ('document', '3663d1148946eed4c1c34c81be586b9e')) paddle.fluid.layers.zeros_like (ArgSpec(args=['x', 'out'], varargs=None, keywords=None, defaults=(None,)), ('document', 'd88a23bcdc443719b3953593f7cef14a')) diff --git a/python/paddle/fluid/layers/nn.py b/python/paddle/fluid/layers/nn.py index 3412c995c0494b355d7a6795968a25a3dfb9ab57..c0d430d7f180bb4160eed566d09eb86b19997782 100644 --- a/python/paddle/fluid/layers/nn.py +++ b/python/paddle/fluid/layers/nn.py @@ -5200,7 +5200,7 @@ def matmul(x, y, transpose_x=False, transpose_y=False, alpha=1.0, name=None): will be named automatically. Returns: - Variable: The product Tensor variable. + Variable: The product Tensor (or LoDTensor) variable. Examples: .. code-block:: python @@ -10200,9 +10200,9 @@ def logical_and(x, y, out=None, name=None): import paddle.fluid as fluid left = fluid.layers.data( - name='left', shape=[1], dtype='int32') + name='left', shape=[1], dtype='bool') right = fluid.layers.data( - name='right', shape=[1], dtype='int32') + name='right', shape=[1], dtype='bool') result = fluid.layers.logical_and(x=left, y=right) """ @@ -10229,9 +10229,9 @@ def logical_or(x, y, out=None, name=None): import paddle.fluid as fluid left = fluid.layers.data( - name='left', shape=[1], dtype='int32') + name='left', shape=[1], dtype='bool') right = fluid.layers.data( - name='right', shape=[1], dtype='int32') + name='right', shape=[1], dtype='bool') result = fluid.layers.logical_or(x=left, y=right) """ @@ -10258,9 +10258,9 @@ def logical_xor(x, y, out=None, name=None): import paddle.fluid as fluid left = fluid.layers.data( - name='left', shape=[1], dtype='int32') + name='left', shape=[1], dtype='bool') right = fluid.layers.data( - name='right', shape=[1], dtype='int32') + name='right', shape=[1], dtype='bool') result = fluid.layers.logical_xor(x=left, y=right) """ @@ -10286,7 +10286,7 @@ def logical_not(x, out=None, name=None): import paddle.fluid as fluid left = fluid.layers.data( - name='left', shape=[1], dtype='int32') + name='left', shape=[1], dtype='bool') result = fluid.layers.logical_not(x=left) """ diff --git a/python/paddle/fluid/layers/tensor.py b/python/paddle/fluid/layers/tensor.py index 8c47af558f368c30466220e9099f47338499736c..81972ae798067d5ab6f34b677839e97ddf099121 100644 --- a/python/paddle/fluid/layers/tensor.py +++ b/python/paddle/fluid/layers/tensor.py @@ -821,7 +821,7 @@ def isfinite(x): var = fluid.layers.data(name="data", shape=(4, 6), dtype="float32") - out = fluid.layers.isfinite(v) + out = fluid.layers.isfinite(var) """ helper = LayerHelper("isfinite", **locals()) out = helper.create_variable_for_type_inference(dtype=x.dtype)