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// Copyright (C) 2018 Intel Corporation
//
// SPDX-License-Identifier: Apache-2.0
//
#include "mkldnn_reorder_node.h"
#include <memory>
#include <string>
#include <algorithm>
#include <mkldnn_types.h>
#include <mkldnn_extension_utils.h>
using namespace mkldnn;
using namespace MKLDNNPlugin;
MKLDNNReorderNode::MKLDNNReorderNode(const InferenceEngine::CNNLayerPtr& layer, const mkldnn::engine& eng) : MKLDNNNode(layer, eng) {
int i = 0;
}
void MKLDNNReorderNode::getSupportedDescriptors() {
if (outDims.empty() && output.getLayout() != InferenceEngine::Layout::ANY)
outDims.push_back(MKLDNNDims(output.getDims()));
if (inDims.empty() && input.getLayout() != InferenceEngine::Layout::ANY)
inDims.push_back(MKLDNNDims(input.getDims()));
if (getParentEdges().size() != 1)
THROW_IE_EXCEPTION << "Incorrect number of input edges.";
if (getChildEdges().empty())
THROW_IE_EXCEPTION << "Incorrect number of output edges.";
}
void MKLDNNReorderNode::initSupportedPrimitiveDescriptors() {
if (!supportedPrimitiveDescriptors.empty())
return;
auto inputDataType = MKLDNNMemoryDesc(input).getDataType();
auto outputDataType = MKLDNNMemoryDesc(output).getDataType();
auto parent = getParentEdgeAt(0)->getParent();
auto child = getChildEdgeAt(0)->getChild();
InferenceEngine::LayerConfig config;
config.dynBatchSupport = true;
config.inConfs.resize(1);
config.outConfs.resize(1);
config.inConfs[0].inPlace = -1;
config.inConfs[0].constant = false;
config.outConfs[0].inPlace = -1;
config.outConfs[0].constant = false;
if (input.getLayout() != InferenceEngine::Layout::ANY && output.getLayout() != InferenceEngine::Layout::ANY) {
config.inConfs[0].desc = input;
config.outConfs[0].desc = output;
} else if (parent->getSelectedPrimitiveDescriptor() != nullptr &&
child->getSelectedPrimitiveDescriptor() != nullptr) {
config.inConfs[0].desc = parent->getSelectedPrimitiveDescriptor()->getConfig().outConfs[0].desc;
config.outConfs[0].desc = child->getSelectedPrimitiveDescriptor()->getConfig().inConfs[0].desc;
} else {
config.inConfs[0].desc = MKLDNNMemoryDesc(getParentEdgeAt(0)->getDims(), inputDataType, memory::format::any);
config.outConfs[0].desc = MKLDNNMemoryDesc(getChildEdgeAt(0)->getDims(), outputDataType, memory::format::any);
}
supportedPrimitiveDescriptors.emplace_back(config, impl_desc_type::reorder);
}
void MKLDNNReorderNode::createPrimitive() {
auto &dstMemPtr = getChildEdgeAt(0)->getMemoryPtr();
auto &srcMemPtr = getParentEdgeAt(0)->getMemoryPtr();
if (!dstMemPtr || !dstMemPtr->GetPrimitivePtr())
THROW_IE_EXCEPTION << "Destination memory didn't allocate.";
if (!srcMemPtr || !srcMemPtr->GetPrimitivePtr())
THROW_IE_EXCEPTION << "Input memory didn't allocate.";
if (getSelectedPrimitiveDescriptor() == nullptr)
THROW_IE_EXCEPTION << "Preferable primitive descriptor does not set.";
if (srcMemPtr->GetSize() == dstMemPtr->GetSize()) {
try {
// No autoblocking. Reorder can be applied as is
prim.reset(new mkldnn::reorder(srcMemPtr->GetPrimitive(), dstMemPtr->GetPrimitive()));
} catch (...) {}
} else {
// Autoblocking case. nchw<=>nChw8c are only supported, but memory descriptor
// should be with strides. Prepare it from enlarged blob
memory::dims dims = srcMemPtr->GetDims();
memory::dims dims_dst = dstMemPtr->GetDims();
for (int i = 0; i < dims.size(); i++) // min dims is a logical dims
dims[i] = std::min(dims[i], dims_dst[i]);
memory::desc src_d = srcMemPtr->GetDescriptor();
void *src_data_hdl = srcMemPtr->GetPrimitive().get_data_handle();
memory::desc dst_d = dstMemPtr->GetDescriptor();
void *dst_data_hdl = dstMemPtr->GetPrimitive().get_data_handle();
for (int i = 0; i < dims.size(); i++)
src_d.data.dims[i] = dst_d.data.dims[i] = dims[i];
src_blocked = std::make_shared<MKLDNNMemory>(getEngine());
src_blocked->Create(src_d, src_data_hdl);
dst_blocked = std::make_shared<MKLDNNMemory>(getEngine());
dst_blocked->Create(dst_d, dst_data_hdl);
// output blob should be zeroed. NaN value can occur in untouched place.
dstMemPtr->FillZero();
prim.reset(new mkldnn::reorder(src_blocked->GetPrimitive(), dst_blocked->GetPrimitive()));
}
}
const std::vector<impl_desc_type>& MKLDNNReorderNode::getPrimitivesPriority() {
implPriorities = {impl_desc_type::reorder};
return implPriorities;
}
bool MKLDNNReorderNode::created() const {
return getType() == Reorder;
}
void MKLDNNReorderNode::execute(mkldnn::stream strm) {
if (prim) {
if (src_blocked)
src_blocked->GetPrimitivePtr()->set_data_handle(getParentEdgeAt(0)->getMemory().GetPrimitive().get_data_handle());
if (dst_blocked)
dst_blocked->GetPrimitivePtr()->set_data_handle(getChildEdgeAt(0)->getMemory().GetPrimitive().get_data_handle());
MKLDNNNode::execute(strm);
} else {
auto srcBlbPtr = getParentEdgeAt(0)->getBlob();
auto dstBlbPtr = getChildEdgeAt(0)->getBlob();
assert(srcBlbPtr->size() == dstBlbPtr->size());
size_t data_size = srcBlbPtr->size();
const auto* src_data = srcBlbPtr->cbuffer().as<const float *>();
auto* dst_data = dstBlbPtr->buffer().as<float *>();
# pragma omp parallel for
for (size_t i = 0; i < data_size; i++) {
dst_data[dstBlbPtr->getTensorDesc().offset(i)] = src_data[srcBlbPtr->getTensorDesc().offset(i)];
}
}
}
void MKLDNNReorderNode::setDynamicBatchLim(int lim) {
dynBatchLim = lim;
if (prim) {
auto &dstMemPtr = getChildEdgeAt(0)->getMemoryPtr();
auto &srcMemPtr = getParentEdgeAt(0)->getMemoryPtr();
memory::desc src_d = srcMemPtr->GetDescriptor();
memory::desc dst_d = dstMemPtr->GetDescriptor();
void *src_data_hdl = srcMemPtr->GetPrimitive().get_data_handle();
void *dst_data_hdl = dstMemPtr->GetPrimitive().get_data_handle();
if (src_blocked && dst_blocked) {
src_d = src_blocked->GetDescriptor();
dst_d = dst_blocked->GetDescriptor();
src_data_hdl = src_blocked->GetPrimitive().get_data_handle();
dst_data_hdl = dst_blocked->GetPrimitive().get_data_handle();
}
src_blocked = std::make_shared<MKLDNNMemory>(getEngine());
src_d.data.dims[0] = batchToProcess();
src_d.data.layout_desc.blocking.padding_dims[0] = batchToProcess();
src_blocked->Create(src_d, src_data_hdl);
dst_blocked = std::make_shared<MKLDNNMemory>(getEngine());
dst_d.data.dims[0] = batchToProcess();
dst_d.data.layout_desc.blocking.padding_dims[0] = batchToProcess();
dst_blocked->Create(dst_d, dst_data_hdl);
prim.reset(new mkldnn::reorder(src_blocked->GetPrimitive(), dst_blocked->GetPrimitive()));
}
}
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