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Rename inputs & format license

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add_depthwiseConv_op_gpu
Yibing Liu 7 years ago
parent 2c1adb0604
commit 2e49facae9
4 changed files with 37 additions and 37 deletions
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28
paddle/operators/edit_distance_op.cc
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@ -1,16 +1,16 @@
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/operators/edit_distance_op.h"
@ -22,8 +22,8 @@ class EditDistanceOp : public framework::OperatorWithKernel {
using framework::OperatorWithKernel::OperatorWithKernel;
void InferShape(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInput("X1"), "Input(X1) shouldn't be null.");
PADDLE_ENFORCE(ctx->HasInput("X2"), "Input(X2) shouldn't be null.");
PADDLE_ENFORCE(ctx->HasInput("Hyp"), "Input(Hyp) shouldn't be null.");
PADDLE_ENFORCE(ctx->HasInput("Ref"), "Input(Ref) shouldn't be null.");
PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) shouldn't be null.");
ctx->SetOutputDim("Out", {1});
}
@ -40,16 +40,16 @@ class EditDistanceOpMaker : public framework::OpProtoAndCheckerMaker {
public:
EditDistanceOpMaker(OpProto *proto, OpAttrChecker *op_checker)
: OpProtoAndCheckerMaker(proto, op_checker) {
AddInput("X1",
AddInput("Hyp",
"(2-D tensor with shape [M x 1]) The indices for "
"hypothesis string");
AddInput("X2",
AddInput("Ref",
"(2-D tensor with shape [N x 1]) The indices "
"for reference string.");
AddAttr<bool>("normalized",
"(bool, default false) Indicated whether "
"normalize the Output(Out) by the length of reference "
"string (X2).")
"string (Ref).")
.SetDefault(false);
AddOutput("Out",
"(2-D tensor with shape [1 x 1]) "

22
paddle/operators/edit_distance_op.cu
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@ -1,16 +1,16 @@
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include <algorithm>
#include "paddle/framework/op_registry.h"
@ -70,8 +70,8 @@ class EditDistanceGPUKernel : public framework::OpKernel<T> {
void Compute(const framework::ExecutionContext& ctx) const {
auto* out_t = ctx.Output<framework::Tensor>("Out");
auto* x1_t = ctx.Input<framework::Tensor>("X1");
auto* x2_t = ctx.Input<framework::Tensor>("X2");
auto* x1_t = ctx.Input<framework::Tensor>("Hyp");
auto* x2_t = ctx.Input<framework::Tensor>("Ref");
out_t->mutable_data<T>(ctx.GetPlace());
auto out = out_t->data<T>();

22
paddle/operators/edit_distance_op.h
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@ -1,16 +1,16 @@
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <algorithm>
@ -26,8 +26,8 @@ class EditDistanceKernel : public framework::OpKernel<T> {
void Compute(const framework::ExecutionContext& ctx) const {
auto* out_t = ctx.Output<framework::Tensor>("Out");
auto* x1_t = ctx.Input<framework::Tensor>("X1");
auto* x2_t = ctx.Input<framework::Tensor>("X2");
auto* x1_t = ctx.Input<framework::Tensor>("Hyp");
auto* x2_t = ctx.Input<framework::Tensor>("Ref");
out_t->mutable_data<float>(ctx.GetPlace());

2
python/paddle/v2/fluid/tests/test_edit_distance_op.py
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@ -45,7 +45,7 @@ class TestCTCEditDistanceOp(OpTest):
if normalized is True:
distance = distance / len(x2)
self.attrs = {'normalized': normalized}
self.inputs = {'X1': x1, 'X2': x2}
self.inputs = {'Hyp': x1, 'Ref': x2}
self.outputs = {'Out': distance}
def test_check_output(self):

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