Merge branch 'develop' of https://github.com/PaddlePaddle/Paddle into port_python3_syntax
minqiyang
7 years ago
commit
a58dd3e557
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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 "paddle/fluid/framework/data_type.h"
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#include <string>
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#include "gtest/gtest.h"
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#include "paddle/fluid/framework/tensor.h"
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TEST(DataType, float16) {
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using paddle::framework::Tensor;
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using paddle::platform::CPUPlace;
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using paddle::platform::float16;
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namespace f = paddle::framework;
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f::proto::VarType::Type dtype = f::proto::VarType::FP16;
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Tensor tensor;
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CPUPlace cpu;
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tensor.mutable_data(cpu, f::ToTypeIndex(dtype));
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// test fp16 tensor
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EXPECT_EQ(tensor.type(), std::type_index(typeid(float16)));
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// test fp16 size
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EXPECT_EQ(f::SizeOfType(f::ToTypeIndex(dtype)), 2u);
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// test debug info
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std::string type = "float16";
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EXPECT_STREQ(f::DataTypeToString(dtype).c_str(), type.c_str());
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}
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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#pragma once
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#include "paddle/fluid/platform/enforce.h"
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namespace paddle {
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namespace framework {
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namespace details {
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class ExceptionHolder {
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public:
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void Catch(const platform::EnforceNotMet& exp) {
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std::lock_guard<std::mutex> lock(mu_);
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exception_.reset(new platform::EnforceNotMet(exp));
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type_ = kEnforceNotMet;
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}
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void Catch(const platform::EOFException& exp) {
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std::lock_guard<std::mutex> lock(mu_);
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// EOFException will not cover up existing EnforceNotMet.
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if (exception_.get() == nullptr) {
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exception_.reset(new platform::EOFException(exp));
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type_ = kEOF;
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}
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}
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bool ExceptionCatched() const {
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std::lock_guard<std::mutex> lock(mu_);
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return exception_.get() != nullptr;
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}
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void Throw() {
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std::lock_guard<std::mutex> lock(mu_);
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switch (type_) {
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case kNone:
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break;
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case kEnforceNotMet: {
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auto e = *static_cast<platform::EnforceNotMet*>(exception_.get());
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throw e;
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break;
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}
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case kEOF: {
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auto e = *static_cast<platform::EOFException*>(exception_.get());
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throw e;
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break;
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}
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default:
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LOG(FATAL) << "Unknown exception.";
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}
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exception_.reset();
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type_ = kNone;
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}
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void Clear() {
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std::lock_guard<std::mutex> lock(mu_);
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exception_.reset();
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type_ = kNone;
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}
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private:
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enum ExceptionType { kNone, kEnforceNotMet, kEOF };
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ExceptionType type_{kNone};
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std::unique_ptr<std::exception> exception_;
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mutable std::mutex mu_;
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};
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} // namespace details
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} // namespace framework
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} // namespace paddle
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@ -0,0 +1,33 @@
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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/*
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* This file implements analysizer -- an executation help to analyze and
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* optimize trained model.
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*/
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#include "paddle/fluid/inference/analysis/analyzer.h"
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#include <gflags/gflags.h>
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#include <glog/logging.h>
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int main(int argc, char** argv) {
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google::ParseCommandLineFlags(&argc, &argv, true);
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using paddle::inference::analysis::Analyzer;
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using paddle::inference::analysis::Argument;
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Argument argument;
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Analyzer analyzer;
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analyzer.Run(&argument);
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return 0;
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}
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