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/*
// Copyright (c) 2017-2018 Intel Corporation
//
// 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.
*/
/**
* \brief Implementation of entry point of custom library
* \file extensibility_sample/mkldnn/sample_extension.cpp
* \example extensibility_sample/mkldnn/sample_extension.cpp
*/
#include "sample_extension.h"
#include "tensorflow_layer.h"
#include <string>
using namespace IECustomExtension;
using namespace InferenceEngine;
using namespace InferenceEngine::MKLDNNPlugin;
SampleExtension::SampleExtension() {
}
InferenceEngine::StatusCode SampleExtension::CreateGenericPrimitive(IMKLDNNGenericPrimitive*& primitive,
const CNNLayerPtr& layer,
ResponseDesc *resp) const noexcept {
try {
// Create layer with type
if (layer->type.compare("TFCustomSubgraphCall") == 0) {
primitive = new TensorflowLayer(layer);
} else {
if (resp != nullptr) {
std::string errorMsg = "Unsupported layer type " + layer->type;
errorMsg.copy(resp->msg, 255);
}
}
} catch (InferenceEngine::details::InferenceEngineException ex) {
if (resp != nullptr) {
std::string errorMsg = ex.what();
errorMsg.copy(resp->msg, 255);
}
std::cout << ex.what() << std::endl;
return GENERAL_ERROR;
} catch (...) {
if (resp != nullptr) {
std::string errorMsg = "Unknown exception.";
errorMsg.copy(resp->msg, 255);
}
return GENERAL_ERROR;
}
return OK;
}
static Version ExtensionDescription = {
{1, 0}, // extension API version
"1.0",
"Custom layer to offload computations to TensorFlow*" // extension description message
};
void SampleExtension::GetVersion(const Version *& versionInfo) const noexcept {
versionInfo = &ExtensionDescription;
}
// Exported function
INFERENCE_EXTENSION_API(StatusCode) CreateMKLDNNExtension(InferenceEngine::MKLDNNPlugin::IMKLDNNExtension*& ext,
ResponseDesc* resp) noexcept {
try {
ext = new SampleExtension();
return OK;
} catch (std::exception& ex) {
if (resp) {
std::string err = ((std::string)"Couldn't create extension: ") + ex.what();
err.copy(resp->msg, 255);
}
return GENERAL_ERROR;
}
}
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