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107 lines
3.1 KiB
107 lines
3.1 KiB
/* Copyright (c) 2016 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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#ifndef _WIN32
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#include <unistd.h>
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#endif
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#include <string>
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#include <thread> // NOLINT
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#include <vector>
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#include "gtest/gtest.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/framework/program_desc.h"
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#include "paddle/fluid/operators/dropout_op.h"
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#include "paddle/fluid/operators/math/math_function.h"
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#include "paddle/fluid/string/printf.h"
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namespace f = paddle::framework;
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namespace p = paddle::platform;
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namespace m = paddle::operators::math;
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USE_OP(dropout);
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void Compare(f::Scope* scope, const p::DeviceContext& ctx) {
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// init
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auto var = scope->Var("X");
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auto tensor = var->GetMutable<f::LoDTensor>();
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tensor->Resize({10, 10});
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std::vector<float> init;
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for (int64_t i = 0; i < 10 * 10; ++i) {
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init.push_back(1.0);
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}
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TensorFromVector(init, ctx, tensor);
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auto place = ctx.GetPlace();
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auto out_var = scope->Var("Out");
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auto out_tensor = out_var->GetMutable<f::LoDTensor>();
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out_tensor->Resize({10, 10});
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out_tensor->mutable_data<float>(place); // allocate
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auto mask_var = scope->Var("Mask");
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auto mask_tensor = mask_var->GetMutable<f::LoDTensor>();
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mask_tensor->Resize({10, 10});
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mask_tensor->mutable_data<float>(place); // allocate
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// run
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f::AttributeMap attrs;
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float dropout_prob = 0.5;
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attrs.insert({"fix_seed", 1});
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attrs.insert({"seed", 3});
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attrs.insert({"dropout_prob", dropout_prob});
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auto dropout_op = f::OpRegistry::CreateOp(
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"dropout", {{"X", {"X"}}}, {{"Out", {"Out"}}, {"Mask", {"Mask"}}}, attrs);
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dropout_op->Run(*scope, place);
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std::vector<float> out_vec;
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TensorToVector(*out_tensor, ctx, &out_vec);
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std::vector<float> std_out = {
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0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1,
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1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0,
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1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 0, 0, 1, 1,
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1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0,
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1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1};
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EXPECT_EQ(out_vec.size(), std_out.size());
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for (uint32_t i = 0; i < out_vec.size(); i++) {
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EXPECT_EQ(out_vec[i], std_out[i]);
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}
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}
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// TODO(wyi): Due to
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// https://github.com/PaddlePaddle/Paddle/issues/9507, I temporarily
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// disable this test to remove the prevention of the merge of
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// unrelated PRs.
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/*
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TEST(Dropout, CPUDense) {
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f::Scope scope;
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p::CPUPlace place;
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p::CPUDeviceContext ctx(place);
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Compare(scope, ctx);
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}
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TEST(Dropout, GPUDense) {
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f::Scope scope;
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p::CUDAPlace place;
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p::CUDADeviceContext ctx(place);
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Compare(scope, ctx);
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}
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*/
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