提交 bfeecfd3 编写于 作者: Z zchen0211

fix problems

上级 6f235553
/* 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. */
#include "paddle/operators/scatter_op.h" #include "paddle/operators/scatter_op.h"
#include "paddle/framework/ddim.h" #include "paddle/framework/ddim.h"
......
/* 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. */
#define EIGEN_USE_GPU #define EIGEN_USE_GPU
#include "paddle/operators/scatter_op.h" #include "paddle/operators/scatter_op.h"
......
...@@ -82,7 +82,7 @@ def get_numeric_gradient(op, ...@@ -82,7 +82,7 @@ def get_numeric_gradient(op,
def product(dim): def product(dim):
return reduce(lambda a, b: a * b, dim, 1) return reduce(lambda a, b: a * b, dim, 1)
def copy_tensor(): def restore_inputs():
for var_name in input_values: for var_name in input_values:
tensor_ = local_scope.find_var(var_name).get_tensor() tensor_ = local_scope.find_var(var_name).get_tensor()
tensor_.set(numpy.copy(input_values[var_name]), core.CPUPlace()) tensor_.set(numpy.copy(input_values[var_name]), core.CPUPlace())
...@@ -97,7 +97,7 @@ def get_numeric_gradient(op, ...@@ -97,7 +97,7 @@ def get_numeric_gradient(op,
# we use a for loop to compute the gradient of every element. # we use a for loop to compute the gradient of every element.
for i in xrange(tensor_size): for i in xrange(tensor_size):
if in_place: if in_place:
copy_tensor() restore_inputs()
# get one input element throw it's index i. # get one input element throw it's index i.
origin = tensor_to_check.get_float_element(i) origin = tensor_to_check.get_float_element(i)
...@@ -108,7 +108,7 @@ def get_numeric_gradient(op, ...@@ -108,7 +108,7 @@ def get_numeric_gradient(op,
# plus delta to this element, run op and get the sum of the result tensor. # plus delta to this element, run op and get the sum of the result tensor.
if in_place: if in_place:
copy_tensor() restore_inputs()
x_neg = origin - delta x_neg = origin - delta
tensor_to_check.set_float_element(i, x_neg) tensor_to_check.set_float_element(i, x_neg)
y_neg = get_output() y_neg = get_output()
......
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册