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103 lines
3.2 KiB
103 lines
3.2 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <gtest/gtest.h>
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#include "paddle/fluid/inference/anakin/convert/op_converter.h"
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#include "paddle/fluid/inference/anakin/convert/ut_helper.h"
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namespace paddle {
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namespace inference {
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namespace anakin {
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template <typename TargetT>
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void test_reshape1_op(const platform::DeviceContext& context, bool use_gpu) {
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framework::Scope scope;
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std::unordered_set<std::string> parameters;
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AnakinConvertValidation<TargetT, ::anakin::Precision::FP32> validator(
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parameters, &scope, context, use_gpu);
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// validator.DeclInputVar("reshape-X", {2, 3, 3, 1});
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// validator.DeclOutputVar("reshape-Out", {3, 2, 1, 3});
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validator.DeclInputVar("reshape-X", {1, 2, 4, 1});
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validator.DeclOutputVar("reshape-Out", {1, 8, 1, 1});
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framework::OpDesc desc;
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desc.SetType("reshape");
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desc.SetInput("X", {"reshape-X"});
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desc.SetOutput("Out", {"reshape-Out"});
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// desc.SetAttr("shape", std::vector<int>({3, 2, 1, 3}));
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desc.SetAttr("shape", std::vector<int>({1, 8, 1, 1}));
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LOG(INFO) << "set OP";
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validator.SetOp(*desc.Proto());
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LOG(INFO) << "execute";
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validator.Execute(1);
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}
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template <typename TargetT>
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void test_reshape2_op(const platform::DeviceContext& context, bool use_gpu) {
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framework::Scope scope;
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std::unordered_set<std::string> parameters;
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AnakinConvertValidation<TargetT, ::anakin::Precision::FP32> validator(
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parameters, &scope, context, use_gpu);
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validator.DeclInputVar("reshape-X", {1, 2, 4});
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validator.DeclOutputVar("reshape-Out", {1, 4, 2});
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framework::OpDesc desc;
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desc.SetType("reshape");
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desc.SetInput("X", {"reshape-X"});
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desc.SetOutput("Out", {"reshape-Out"});
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// desc.SetAttr("shape", std::vector<int>({3, 2, 1, 3}));
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desc.SetAttr("shape", std::vector<int>({0, -1, 2}));
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LOG(INFO) << "set OP";
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validator.SetOp(*desc.Proto());
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LOG(INFO) << "execute";
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validator.Execute(1);
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}
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#ifdef PADDLE_WITH_CUDA
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TEST(reshape1_op, gpu) {
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platform::CUDAPlace gpu_place(0);
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platform::CUDADeviceContext ctx(gpu_place);
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test_reshape1_op<::anakin::saber::NV>(ctx, true);
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}
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TEST(reshape2_op, gpu) {
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platform::CUDAPlace gpu_place(0);
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platform::CUDADeviceContext ctx(gpu_place);
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test_reshape2_op<::anakin::saber::NV>(ctx, true);
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}
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#endif
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#ifdef ANAKIN_X86_PLACE
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TEST(reshape1_op, cpu) {
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platform::CPUPlace cpu_place;
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platform::CPUDeviceContext ctx(cpu_place);
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test_reshape2_op<::anakin::saber::X86>(ctx, false);
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}
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TEST(reshape2_op, cpu) {
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platform::CPUPlace cpu_place;
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platform::CPUDeviceContext ctx(cpu_place);
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test_reshape2_op<::anakin::saber::X86>(ctx, false);
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}
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#endif
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} // namespace anakin
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} // namespace inference
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} // namespace paddle
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USE_OP(reshape);
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USE_ANAKIN_CONVERTER(reshape);
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