未验证 提交 b5b66618 编写于 作者: Y Yan Chunwei 提交者: GitHub

feature/simple inference demo (#11105)

上级 663f4e61
......@@ -18,32 +18,35 @@ if(APPLE)
endif(APPLE)
function(inference_api_test TARGET_NAME)
set(options "")
set(oneValueArgs "")
set(multiValueArgs ARGS)
cmake_parse_arguments(inference_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if (WITH_TESTING)
set(options "")
set(oneValueArgs "")
set(multiValueArgs ARGS)
cmake_parse_arguments(inference_test "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
set(PYTHON_TESTS_DIR ${PADDLE_BINARY_DIR}/python/paddle/fluid/tests)
cc_test(test_paddle_inference_${TARGET_NAME}
SRCS test_paddle_inference_${TARGET_NAME}.cc
DEPS paddle_fluid_api paddle_inference_api
ARGS --dirname=${PYTHON_TESTS_DIR}/book/)
if(inference_test_ARGS)
set_tests_properties(test_paddle_inference_${TARGET_NAME}
PROPERTIES DEPENDS "${inference_test_ARGS}")
endif()
set(PYTHON_TESTS_DIR ${PADDLE_BINARY_DIR}/python/paddle/fluid/tests)
cc_test(${TARGET_NAME}
SRCS ${TARGET_NAME}.cc
DEPS paddle_fluid paddle_inference_api
ARGS --dirname=${PYTHON_TESTS_DIR}/book/)
if(inference_test_ARGS)
set_tests_properties(${TARGET_NAME}
PROPERTIES DEPENDS "${inference_test_ARGS}")
endif()
endif(WITH_TESTING)
endfunction(inference_api_test)
cc_library(paddle_inference_api
SRCS paddle_inference_api.cc paddle_inference_api_impl.cc
DEPS ${FLUID_CORE_MODULES} ${GLOB_OP_LIB})
if(WITH_TESTING)
cc_test(test_paddle_inference_api
SRCS test_paddle_inference_api.cc
DEPS paddle_inference_api)
cc_test(test_paddle_inference_api
SRCS test_paddle_inference_api.cc
DEPS paddle_inference_api)
inference_api_test(api_impl
ARGS test_word2vec test_image_classification)
inference_api_test(test_paddle_inference_api_impl
ARGS test_word2vec test_image_classification)
if(WITH_TESTING)
add_subdirectory(demo)
endif()
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
#
# 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
#
# 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.
#
inference_api_test(simple_on_word2vec ARGS test_word2vec)
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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
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. */
/*
* This file contains a simple demo for how to take a model for inference.
*/
#include <glog/logging.h>
#include <gtest/gtest.h>
#include <memory>
#include "paddle/contrib/inference/paddle_inference_api.h"
namespace paddle {
namespace demo {
DEFINE_string(dirname, "", "Directory of the inference model.");
void Main(bool use_gpu) {
//# 1. Create PaddlePredictor with a config.
NativeConfig config;
config.model_dir = FLAGS_dirname + "word2vec.inference.model";
config.use_gpu = use_gpu;
config.fraction_of_gpu_memory = 0.15;
config.device = 0;
auto predictor =
CreatePaddlePredictor<NativeConfig, PaddleEngineKind::kNative>(config);
for (int batch_id = 0; batch_id < 3; batch_id++) {
//# 2. Prepare input.
int64_t data[4] = {1, 2, 3, 4};
PaddleBuf buf{.data = data, .length = sizeof(data)};
PaddleTensor tensor{.name = "",
.shape = std::vector<int>({4, 1}),
.data = buf,
.dtype = PaddleDType::INT64};
// For simplicity, we set all the slots with the same data.
std::vector<PaddleTensor> slots(4, tensor);
//# 3. Run
std::vector<PaddleTensor> outputs;
CHECK(predictor->Run(slots, &outputs));
//# 4. Get output.
ASSERT_EQ(outputs.size(), 1);
LOG(INFO) << "output buffer size: " << outputs.front().data.length;
const size_t num_elements = outputs.front().data.length / sizeof(float);
// The outputs' buffers are in CPU memory.
for (size_t i = 0; i < std::min(5UL, num_elements); i++) {
LOG(INFO) << static_cast<float*>(outputs.front().data.data)[i];
}
}
}
TEST(demo, word2vec_cpu) { Main(false /*use_gpu*/); }
TEST(demo, word2vec_gpu) { Main(true /*use_gpu*/); }
} // namespace demo
} // namespace paddle
......@@ -248,9 +248,11 @@ CreatePaddlePredictor<NativeConfig, PaddleEngineKind::kNative>(
VLOG(3) << "create NativePaddlePredictor";
if (config.use_gpu) {
// 1. GPU memeroy
PADDLE_ENFORCE(
config.fraction_of_gpu_memory > 0.f,
PADDLE_ENFORCE_GT(
config.fraction_of_gpu_memory,
0.f,
"fraction_of_gpu_memory in the config should be set to range (0., 1.]");
PADDLE_ENFORCE_GE(config.device, 0, "Invalid device id %d", config.device);
std::vector<std::string> flags;
if (config.fraction_of_gpu_memory >= 0.0f ||
config.fraction_of_gpu_memory <= 0.95f) {
......
......@@ -74,7 +74,7 @@ TEST(paddle_inference_api_impl, word2vec) {
ASSERT_EQ(outputs.size(), 1UL);
size_t len = outputs[0].data.length;
float* data = static_cast<float*>(outputs[0].data.data);
for (int j = 0; j < len / sizeof(float); ++j) {
for (size_t j = 0; j < len / sizeof(float); ++j) {
ASSERT_LT(data[j], 1.0);
ASSERT_GT(data[j], -1.0);
}
......@@ -92,7 +92,7 @@ TEST(paddle_inference_api_impl, word2vec) {
TestInference<platform::CPUPlace>(config.model_dir, cpu_feeds, cpu_fetchs1);
float* lod_data = output1.data<float>();
for (size_t i = 0; i < output1.numel(); ++i) {
for (int i = 0; i < output1.numel(); ++i) {
EXPECT_LT(lod_data[i] - data[i], 1e-3);
EXPECT_GT(lod_data[i] - data[i], -1e-3);
}
......
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