forked from OSSInnovation/mindspore
!14601 [MS][LITE] fix bitpack judgment
From: @jianghui58 Reviewed-by: @jpc_chenjianping,@HilbertDavid Signed-off-by: @HilbertDavid
This commit is contained in:
commit
7092868a6c
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@ -235,43 +235,6 @@ void AnfExporter::RemoveIfDepend(const CNodePtr &cnode) {
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}
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}
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int AnfExporter::DoBitPack(const int &bit_num, schema::TensorT *tensor_input) {
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if (bit_num > 0 && bit_num < 8) {
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std::vector<int8_t> origin_data(tensor_input->data.size());
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if (memcpy_s(origin_data.data(), origin_data.size() * sizeof(int8_t), tensor_input->data.data(),
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tensor_input->data.size() * sizeof(uint8_t)) != EOK) {
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MS_LOG(ERROR) << "memcpy failed.";
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return RET_ERROR;
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}
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std::vector<uint8_t> pack_data{};
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BitPack::BitPacking<int8_t, uint8_t>(bit_num, origin_data, &pack_data);
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tensor_input->data.resize(pack_data.size() * sizeof(uint8_t));
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if (memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
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pack_data.size() * sizeof(uint8_t)) != EOK) {
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MS_LOG(ERROR) << "memcpy_s failed.";
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return RET_ERROR;
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}
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} else if (bit_num > 9 && bit_num < 16) {
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auto shape_size =
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std::accumulate(tensor_input->dims.begin(), tensor_input->dims.end(), size_t(1), std::multiplies<size_t>());
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std::vector<int16_t> origin_data(shape_size);
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if (memcpy_s(origin_data.data(), origin_data.size() * sizeof(int16_t), tensor_input->data.data(),
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tensor_input->data.size() * sizeof(uint8_t)) != EOK) {
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MS_LOG(ERROR) << "memcpy failed.";
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return RET_ERROR;
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}
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std::vector<uint16_t> pack_data{};
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BitPack::BitPacking<int16_t, uint16_t>(bit_num, origin_data, &pack_data);
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tensor_input->data.resize(pack_data.size() * sizeof(uint16_t));
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if (memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
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pack_data.size() * sizeof(uint16_t)) != EOK) {
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MS_LOG(ERROR) << "memcpy_s failed.";
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return RET_ERROR;
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}
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}
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return RET_OK;
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}
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int AnfExporter::SetQuantOutputTensorType(const std::unique_ptr<schema::MetaGraphT> &meta_graph,
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const std::shared_ptr<mindspore::Primitive> &primitive,
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const std::unique_ptr<schema::CNodeT> &dst_node) {
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@ -341,7 +304,7 @@ int AnfExporter::ConvertQuantParam(const std::unique_ptr<schema::MetaGraphT> &me
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if (bit_num != 8 && bit_num != 16) {
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auto status = DoBitPack(bit_num, tensor_input);
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if (status != RET_OK) {
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MS_LOG(ERROR) << "do bit pack failed.";
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MS_LOG(ERROR) << "do bit pack failed. " << status;
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return RET_ERROR;
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}
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}
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@ -75,7 +75,6 @@ class AnfExporter {
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int SetGraphInputIndex(const std::unique_ptr<schema::MetaGraphT> &meta_graphT, const size_t &subgraph_index);
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int SetGraphoutputIndex(const CNodePtr &cnode, size_t subgraph_index,
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const std::unique_ptr<schema::MetaGraphT> &meta_graphT, schema::CNodeT *return_node);
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static int DoBitPack(const int &bit_num, schema::TensorT *tensor_input);
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static int SetQuantOutputTensorType(const std::unique_ptr<schema::MetaGraphT> &meta_graph,
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const std::shared_ptr<mindspore::Primitive> &primitive,
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const std::unique_ptr<schema::CNodeT> &dst_node);
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@ -16,11 +16,13 @@
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#include "tools/common/graph_util.h"
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#include <algorithm>
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#include <functional>
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#include <ctime>
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#include <utility>
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#include <set>
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#include "schema/inner/model_generated.h"
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#include "tools/common/tensor_util.h"
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#include "tools/converter/quantizer/bitpacking.h"
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#include "tools/common/node_util.h"
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#include "src/common/log_adapter.h"
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#include "src/common/utils.h"
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@ -389,6 +391,47 @@ STATUS ReplaceTensorOfNode(schema::MetaGraphT *graphT, uint32_t nodeIdx, uint32_
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return RET_OK;
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}
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int DoBitPack(const int &bit_num, schema::TensorT *tensor_input) {
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if (bit_num > 0 && bit_num < 8) {
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std::vector<int8_t> origin_data(tensor_input->data.size());
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auto status = memcpy_s(origin_data.data(), origin_data.size() * sizeof(int8_t), tensor_input->data.data(),
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tensor_input->data.size() * sizeof(uint8_t));
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if (status != EOK) {
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MS_LOG(ERROR) << "memcpy failed. " << status;
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return RET_ERROR;
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}
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std::vector<uint8_t> pack_data{};
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BitPack::BitPacking<int8_t, uint8_t>(bit_num, origin_data, &pack_data);
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tensor_input->data.resize(pack_data.size() * sizeof(uint8_t));
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status = memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
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pack_data.size() * sizeof(uint8_t));
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if (status != EOK) {
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MS_LOG(ERROR) << "memcpy_s failed. " << status;
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return RET_ERROR;
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}
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} else if (bit_num > 8 && bit_num < 16) {
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auto shape_size =
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std::accumulate(tensor_input->dims.begin(), tensor_input->dims.end(), size_t(1), std::multiplies<size_t>());
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std::vector<int16_t> origin_data(shape_size);
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auto status = memcpy_s(origin_data.data(), origin_data.size() * sizeof(int16_t), tensor_input->data.data(),
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tensor_input->data.size() * sizeof(uint8_t));
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if (status != EOK) {
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MS_LOG(ERROR) << "memcpy failed. " << status;
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return RET_ERROR;
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}
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std::vector<uint16_t> pack_data{};
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BitPack::BitPacking<int16_t, uint16_t>(bit_num, origin_data, &pack_data);
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tensor_input->data.resize(pack_data.size() * sizeof(uint16_t));
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status = memcpy_s(tensor_input->data.data(), tensor_input->data.size() * sizeof(uint8_t), pack_data.data(),
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pack_data.size() * sizeof(uint16_t));
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if (status != EOK) {
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MS_LOG(ERROR) << "memcpy_s failed. " << status;
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return RET_ERROR;
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}
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}
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return RET_OK;
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}
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NodeIter InsertNode(schema::MetaGraphT *graphT, uint32_t existNodeIdx, InsertPlace place, size_t inoutIndex,
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std::unique_ptr<CNodeT> toAddNode, STATUS *errorCode, int *insert_num,
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const OpDefCopyer &opDefCopyer) {
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@ -70,6 +70,8 @@ STATUS AddTensor2Node(schema::MetaGraphT *graphT, uint32_t nodeIdx, std::unique_
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STATUS ReplaceTensorOfNode(schema::MetaGraphT *graphT, uint32_t nodeIdx, uint32_t inTensorIdx,
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std::unique_ptr<schema::TensorT> tensor);
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int DoBitPack(const int &bit_num, schema::TensorT *tensor_input);
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NodeIter InsertNode(schema::MetaGraphT *graphT, uint32_t existNodeIdx, InsertPlace place, size_t inoutIndex,
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std::unique_ptr<schema::CNodeT> toAddNode, STATUS *errorCode, int *insert_num,
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const OpDefCopyer &opDefCopyer = GetSimpleOpCopyer());
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