未验证 提交 829ef262 编写于 作者: L lvmengsi 提交者: GitHub

Fix drop deconv (#18813)

* replace link

* update api.spec

* fix mistake
上级 cfce4994
...@@ -119,8 +119,8 @@ paddle.fluid.layers.adaptive_pool3d (ArgSpec(args=['input', 'pool_size', 'pool_t ...@@ -119,8 +119,8 @@ paddle.fluid.layers.adaptive_pool3d (ArgSpec(args=['input', 'pool_size', 'pool_t
paddle.fluid.layers.batch_norm (ArgSpec(args=['input', 'act', 'is_test', 'momentum', 'epsilon', 'param_attr', 'bias_attr', 'data_layout', 'in_place', 'name', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var', 'fuse_with_relu', 'use_global_stats'], varargs=None, keywords=None, defaults=(None, False, 0.9, 1e-05, None, None, 'NCHW', False, None, None, None, False, False, False)), ('document', '4cc22c3553e73a958e8b9a240d894431')) paddle.fluid.layers.batch_norm (ArgSpec(args=['input', 'act', 'is_test', 'momentum', 'epsilon', 'param_attr', 'bias_attr', 'data_layout', 'in_place', 'name', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var', 'fuse_with_relu', 'use_global_stats'], varargs=None, keywords=None, defaults=(None, False, 0.9, 1e-05, None, None, 'NCHW', False, None, None, None, False, False, False)), ('document', '4cc22c3553e73a958e8b9a240d894431'))
paddle.fluid.layers.data_norm (ArgSpec(args=['input', 'act', 'epsilon', 'param_attr', 'data_layout', 'in_place', 'name', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var'], varargs=None, keywords=None, defaults=(None, 1e-05, None, 'NCHW', False, None, None, None, False)), ('document', '2460b30fb87037555208fa8ac6fc1787')) paddle.fluid.layers.data_norm (ArgSpec(args=['input', 'act', 'epsilon', 'param_attr', 'data_layout', 'in_place', 'name', 'moving_mean_name', 'moving_variance_name', 'do_model_average_for_mean_and_var'], varargs=None, keywords=None, defaults=(None, 1e-05, None, 'NCHW', False, None, None, None, False)), ('document', '2460b30fb87037555208fa8ac6fc1787'))
paddle.fluid.layers.beam_search_decode (ArgSpec(args=['ids', 'scores', 'beam_size', 'end_id', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '83e08f21af41ac8bac37aeab1f86fdd0')) paddle.fluid.layers.beam_search_decode (ArgSpec(args=['ids', 'scores', 'beam_size', 'end_id', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '83e08f21af41ac8bac37aeab1f86fdd0'))
paddle.fluid.layers.conv2d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', '903ac9a778e0bf1bf649bd71e9d0ba0c')) paddle.fluid.layers.conv2d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', 'b99808e42a00c2656e8e90d9e360eb35'))
paddle.fluid.layers.conv3d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', '9b1f13c1fc872f76f8f84cf11e955f53')) paddle.fluid.layers.conv3d_transpose (ArgSpec(args=['input', 'num_filters', 'output_size', 'filter_size', 'padding', 'stride', 'dilation', 'groups', 'param_attr', 'bias_attr', 'use_cudnn', 'act', 'name'], varargs=None, keywords=None, defaults=(None, None, 0, 1, 1, None, None, None, True, None, None)), ('document', 'b4ad2a81becb8a492e9494d3974df662'))
paddle.fluid.layers.sequence_expand (ArgSpec(args=['x', 'y', 'ref_level', 'name'], varargs=None, keywords=None, defaults=(-1, None)), ('document', '10e122eb755c2bd1f78ef2332b28f1a0')) paddle.fluid.layers.sequence_expand (ArgSpec(args=['x', 'y', 'ref_level', 'name'], varargs=None, keywords=None, defaults=(-1, None)), ('document', '10e122eb755c2bd1f78ef2332b28f1a0'))
paddle.fluid.layers.sequence_expand_as (ArgSpec(args=['x', 'y', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '858c432e7cbd8bb952cc2eb555457d50')) paddle.fluid.layers.sequence_expand_as (ArgSpec(args=['x', 'y', 'name'], varargs=None, keywords=None, defaults=(None,)), ('document', '858c432e7cbd8bb952cc2eb555457d50'))
paddle.fluid.layers.sequence_pad (ArgSpec(args=['x', 'pad_value', 'maxlen', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '1ba3ccfe13ed5091e113c09c13dc3a20')) paddle.fluid.layers.sequence_pad (ArgSpec(args=['x', 'pad_value', 'maxlen', 'name'], varargs=None, keywords=None, defaults=(None, None)), ('document', '1ba3ccfe13ed5091e113c09c13dc3a20'))
......
...@@ -1470,7 +1470,7 @@ def dropout(x, ...@@ -1470,7 +1470,7 @@ def dropout(x,
'dropout_prob': dropout_prob, 'dropout_prob': dropout_prob,
'is_test': is_test, 'is_test': is_test,
'fix_seed': seed is not None, 'fix_seed': seed is not None,
'seed': seed if seed is not None else 0, 'seed': seed,
'dropout_implementation': dropout_implementation, 'dropout_implementation': dropout_implementation,
}) })
return out return out
...@@ -3690,7 +3690,7 @@ def conv2d_transpose(input, ...@@ -3690,7 +3690,7 @@ def conv2d_transpose(input,
Parameters(dilations, strides, paddings) are two elements. These two elements Parameters(dilations, strides, paddings) are two elements. These two elements
represent height and width, respectively. The details of convolution transpose represent height and width, respectively. The details of convolution transpose
layer, please refer to the following explanation and references layer, please refer to the following explanation and references
`therein <http://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf>`_. `therein <https://ieeexplore.ieee.org/document/5539957>`_.
If bias attribution and activation type are provided, bias is added to If bias attribution and activation type are provided, bias is added to
the output of the convolution, and the corresponding activation function the output of the convolution, and the corresponding activation function
is applied to the final result. is applied to the final result.
...@@ -3728,8 +3728,15 @@ def conv2d_transpose(input, ...@@ -3728,8 +3728,15 @@ def conv2d_transpose(input,
H^\prime_{out} &= (H_{in} - 1) * strides[0] - 2 * paddings[0] + dilations[0] * (H_f - 1) + 1 \\\\ H^\prime_{out} &= (H_{in} - 1) * strides[0] - 2 * paddings[0] + dilations[0] * (H_f - 1) + 1 \\\\
W^\prime_{out} &= (W_{in} - 1) * strides[1] - 2 * paddings[1] + dilations[1] * (W_f - 1) + 1 \\\\ W^\prime_{out} &= (W_{in} - 1) * strides[1] - 2 * paddings[1] + dilations[1] * (W_f - 1) + 1 \\\\
H_{out} &\in [ H^\prime_{out}, H^\prime_{out} + strides[0] ) \\\\ H_{out} &\in [ H^\prime_{out}, H^\prime_{out} + strides[0] ] \\\\
W_{out} &\in [ W^\prime_{out}, W^\prime_{out} + strides[1] ) W_{out} &\in [ W^\prime_{out}, W^\prime_{out} + strides[1] ]
Note:
if output_size is None, :math:`H_{out} = H^\prime_{out}, W_{out} = W^\prime_{out}`;
else, the :math:`H_{out}` of the output size must between :math:`H^\prime_{out}`
and :math:`H^\prime_{out} + strides[0]`, and the :math:`W_{out}` of the output size must
between :math:`W^\prime_{out}` and :math:`W^\prime_{out} + strides[1]`,
conv2d_transpose can compute the kernel size automatically.
Args: Args:
input(Variable): The input image with [N, C, H, W] format. input(Variable): The input image with [N, C, H, W] format.
...@@ -3882,7 +3889,7 @@ def conv3d_transpose(input, ...@@ -3882,7 +3889,7 @@ def conv3d_transpose(input,
is the width of the feature. Parameters(dilations, strides, paddings) are is the width of the feature. Parameters(dilations, strides, paddings) are
two elements. These two elements represent height and width, respectively. two elements. These two elements represent height and width, respectively.
The details of convolution transpose layer, please refer to the following The details of convolution transpose layer, please refer to the following
explanation and references `therein <http://www.matthewzeiler.com/wp-content/uploads/2017/07/cvpr2010.pdf>`_. explanation and references `therein <https://ieeexplore.ieee.org/document/5539957>`_.
If bias attribution and activation type are provided, bias is added to If bias attribution and activation type are provided, bias is added to
the output of the convolution, and the corresponding activation function the output of the convolution, and the corresponding activation function
is applied to the final result. is applied to the final result.
......
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