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fix bitpack judgment bug

This commit is contained in:
jianghui58 2021-04-02 11:46:54 +08:00
parent 46e08fb5a1
commit b195abad5a
4 changed files with 46 additions and 39 deletions
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39
mindspore/lite/tools/anf_exporter/anf_exporter.cc
View File

@ -235,43 +235,6 @@ void AnfExporter::RemoveIfDepend(const CNodePtr &cnode) {
}
}
int AnfExporter::DoBitPack(const int &bit_num, schema::TensorT *tensor_input) {
if (bit_num > 0 && bit_num < 8) {
std::vector<int8_t> origin_data(tensor_input->data.size());
if (memcpy_s(origin_data.data(), origin_data.size() * sizeof(int8_t), tensor_input->data.data(),
tensor_input->data.size() * sizeof(uint8_t)) != EOK) {
MS_LOG(ERROR) << "memcpy failed.";
return RET_ERROR;
}
std::vector<uint8_t> pack_data{};
BitPack::BitPacking<int8_t, uint8_t>(bit_num, origin_data, &pack_data);
tensor_input->data.resize(pack_data.size() * sizeof(uint8_t));
if (memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
pack_data.size() * sizeof(uint8_t)) != EOK) {
MS_LOG(ERROR) << "memcpy_s failed.";
return RET_ERROR;
}
} else if (bit_num > 9 && bit_num < 16) {
auto shape_size =
std::accumulate(tensor_input->dims.begin(), tensor_input->dims.end(), size_t(1), std::multiplies<size_t>());
std::vector<int16_t> origin_data(shape_size);
if (memcpy_s(origin_data.data(), origin_data.size() * sizeof(int16_t), tensor_input->data.data(),
tensor_input->data.size() * sizeof(uint8_t)) != EOK) {
MS_LOG(ERROR) << "memcpy failed.";
return RET_ERROR;
}
std::vector<uint16_t> pack_data{};
BitPack::BitPacking<int16_t, uint16_t>(bit_num, origin_data, &pack_data);
tensor_input->data.resize(pack_data.size() * sizeof(uint16_t));
if (memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
pack_data.size() * sizeof(uint16_t)) != EOK) {
MS_LOG(ERROR) << "memcpy_s failed.";
return RET_ERROR;
}
}
return RET_OK;
}
int AnfExporter::SetQuantOutputTensorType(const std::unique_ptr<schema::MetaGraphT> &meta_graph,
const std::shared_ptr<mindspore::Primitive> &primitive,
const std::unique_ptr<schema::CNodeT> &dst_node) {
@ -341,7 +304,7 @@ int AnfExporter::ConvertQuantParam(const std::unique_ptr<schema::MetaGraphT> &me
if (bit_num != 8 && bit_num != 16) {
auto status = DoBitPack(bit_num, tensor_input);
if (status != RET_OK) {
MS_LOG(ERROR) << "do bit pack failed.";
MS_LOG(ERROR) << "do bit pack failed. " << status;
return RET_ERROR;
}
}

1
mindspore/lite/tools/anf_exporter/anf_exporter.h
View File

@ -75,7 +75,6 @@ class AnfExporter {
int SetGraphInputIndex(const std::unique_ptr<schema::MetaGraphT> &meta_graphT, const size_t &subgraph_index);
int SetGraphoutputIndex(const CNodePtr &cnode, size_t subgraph_index,
const std::unique_ptr<schema::MetaGraphT> &meta_graphT, schema::CNodeT *return_node);
static int DoBitPack(const int &bit_num, schema::TensorT *tensor_input);
static int SetQuantOutputTensorType(const std::unique_ptr<schema::MetaGraphT> &meta_graph,
const std::shared_ptr<mindspore::Primitive> &primitive,
const std::unique_ptr<schema::CNodeT> &dst_node);

43
mindspore/lite/tools/common/graph_util.cc
View File

@ -16,11 +16,13 @@
#include "tools/common/graph_util.h"
#include <algorithm>
#include <functional>
#include <ctime>
#include <utility>
#include <set>
#include "schema/inner/model_generated.h"
#include "tools/common/tensor_util.h"
#include "tools/converter/quantizer/bitpacking.h"
#include "tools/common/node_util.h"
#include "src/common/log_adapter.h"
#include "src/common/utils.h"
@ -389,6 +391,47 @@ STATUS ReplaceTensorOfNode(schema::MetaGraphT *graphT, uint32_t nodeIdx, uint32_
return RET_OK;
}
int DoBitPack(const int &bit_num, schema::TensorT *tensor_input) {
if (bit_num > 0 && bit_num < 8) {
std::vector<int8_t> origin_data(tensor_input->data.size());
auto status = memcpy_s(origin_data.data(), origin_data.size() * sizeof(int8_t), tensor_input->data.data(),
tensor_input->data.size() * sizeof(uint8_t));
if (status != EOK) {
MS_LOG(ERROR) << "memcpy failed. " << status;
return RET_ERROR;
}
std::vector<uint8_t> pack_data{};
BitPack::BitPacking<int8_t, uint8_t>(bit_num, origin_data, &pack_data);
tensor_input->data.resize(pack_data.size() * sizeof(uint8_t));
status = memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
pack_data.size() * sizeof(uint8_t));
if (status != EOK) {
MS_LOG(ERROR) << "memcpy_s failed. " << status;
return RET_ERROR;
}
} else if (bit_num > 8 && bit_num < 16) {
auto shape_size =
std::accumulate(tensor_input->dims.begin(), tensor_input->dims.end(), size_t(1), std::multiplies<size_t>());
std::vector<int16_t> origin_data(shape_size);
auto status = memcpy_s(origin_data.data(), origin_data.size() * sizeof(int16_t), tensor_input->data.data(),
tensor_input->data.size() * sizeof(uint8_t));
if (status != EOK) {
MS_LOG(ERROR) << "memcpy failed. " << status;
return RET_ERROR;
}
std::vector<uint16_t> pack_data{};
BitPack::BitPacking<int16_t, uint16_t>(bit_num, origin_data, &pack_data);
tensor_input->data.resize(pack_data.size() * sizeof(uint16_t));
status = memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
pack_data.size() * sizeof(uint16_t));
if (status != EOK) {
MS_LOG(ERROR) << "memcpy_s failed. " << status;
return RET_ERROR;
}
}
return RET_OK;
}
NodeIter InsertNode(schema::MetaGraphT *graphT, uint32_t existNodeIdx, InsertPlace place, size_t inoutIndex,
std::unique_ptr<CNodeT> toAddNode, STATUS *errorCode, int *insert_num,
const OpDefCopyer &opDefCopyer) {

2
mindspore/lite/tools/common/graph_util.h
View File

@ -70,6 +70,8 @@ STATUS AddTensor2Node(schema::MetaGraphT *graphT, uint32_t nodeIdx, std::unique_
STATUS ReplaceTensorOfNode(schema::MetaGraphT *graphT, uint32_t nodeIdx, uint32_t inTensorIdx,
std::unique_ptr<schema::TensorT> tensor);
int DoBitPack(const int &bit_num, schema::TensorT *tensor_input);
NodeIter InsertNode(schema::MetaGraphT *graphT, uint32_t existNodeIdx, InsertPlace place, size_t inoutIndex,
std::unique_ptr<schema::CNodeT> toAddNode, STATUS *errorCode, int *insert_num,
const OpDefCopyer &opDefCopyer = GetSimpleOpCopyer());