提交 0d1715da 编写于 作者: Q Qiao Longfei 提交者: GitHub

Merge pull request #3604 from jacquesqiao/fix-rowwise-add

Fix rowwise add
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. /* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License"); Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License. you may not use this file except in compliance with the License.
You may obtain a copy of the License at You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0 http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and See the License for the specific language governing permissions and
limitations under the License. */ limitations under the License. */
#pragma once #pragma once
#include "paddle/framework/eigen.h" #include "paddle/framework/eigen.h"
...@@ -63,7 +63,7 @@ class RowwiseAddGradKernel : public framework::OpKernel { ...@@ -63,7 +63,7 @@ class RowwiseAddGradKernel : public framework::OpKernel {
// https://eigen.tuxfamily.org/dox/unsupported/TensorBase_8h_source.html // https://eigen.tuxfamily.org/dox/unsupported/TensorBase_8h_source.html
// colwise add // colwise add
Eigen::array<int, 1> dims{{1}}; /* dimension to reduce */ Eigen::array<int, 1> dims{{0}}; /* dimension to reduce */
EigenVector<T>::Flatten(*db).device(place) = OutGrad.sum(dims); EigenVector<T>::Flatten(*db).device(place) = OutGrad.sum(dims);
} }
}; };
......
...@@ -20,7 +20,7 @@ class RowwiseAddGradOpTest(GradientChecker): ...@@ -20,7 +20,7 @@ class RowwiseAddGradOpTest(GradientChecker):
def test_rowwise_add(self): def test_rowwise_add(self):
op = create_op("rowwise_add") op = create_op("rowwise_add")
inputs = { inputs = {
"X": np.random.uniform(0.1, 1, [10, 10]).astype("float32"), "X": np.random.uniform(0.1, 1, [5, 10]).astype("float32"),
"b": np.random.uniform(0.1, 1, [10]).astype("float32") "b": np.random.uniform(0.1, 1, [10]).astype("float32")
} }
self.check_grad(op, inputs, set(["X", "b"]), "Out") self.check_grad(op, inputs, set(["X", "b"]), "Out")
......
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