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98 lines
3.7 KiB
98 lines
3.7 KiB
/**
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* Copyright 2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "host_kernels/reformat_kernel.h"
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#include "common/formats/utils/formats_trans_utils.h"
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#include "common/ge/ge_util.h"
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#include "common/ge_inner_error_codes.h"
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#include "common/op/ge_op_utils.h"
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#include "common/types.h"
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#include "common/util.h"
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#include "framework/common/debug/ge_log.h"
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#include "host_kernels/kernel_utils.h"
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#include "graph/utils/type_utils.h"
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#include "inc/kernel_factory.h"
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namespace ge {
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namespace {
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const size_t kReFormatInputSize = 1;
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const size_t kReformatFirstInput = 0;
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const size_t kReformatFirstOutput = 0;
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} // namespace
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Status ReFormatKernel::ValidateInput(const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input) const {
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GE_CHECK_NOTNULL(op_desc_ptr);
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if (op_desc_ptr->GetInputsSize() != kReFormatInputSize) {
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GELOGW("trans_op has more than 1 input_size.");
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return PARAM_INVALID;
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}
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if (input.empty()) {
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GELOGE(PARAM_INVALID, "Input tensor vector is empty");
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return PARAM_INVALID;
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}
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return SUCCESS;
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}
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Status ReFormatKernel::Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
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std::vector<GeTensorPtr> &v_output) {
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GELOGD("ReFormatKernel begin.");
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Status status = ValidateInput(op_desc_ptr, input);
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if (status != SUCCESS) {
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return status;
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}
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ConstGeTensorPtr const_weight_ptr = input[kReformatFirstInput];
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if (const_weight_ptr == nullptr) {
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GELOGW("Parameter's invalid, Input_0 is nullptr.");
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return NOT_CHANGED;
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}
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const auto &op_desc = op_desc_ptr->MutableOutputDesc(kReformatFirstOutput);
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const auto &op_desc_in = op_desc_ptr->MutableInputDesc(kReformatFirstInput);
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GE_CHECK_NOTNULL(op_desc);
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GE_CHECK_NOTNULL(op_desc_in);
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const auto &src_shape = op_desc_in->GetShape().GetDims();
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const auto &src_dtype = op_desc_in->GetDataType();
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const auto &dst_shape = op_desc->GetShape().GetDims();
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const auto &dst_dtype = op_desc->GetDataType();
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if (src_dtype != dst_dtype || src_shape != dst_shape) {
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GELOGW("Check params failed. src data type %s and shape %s should be equal to dst data type %s and shape %s",
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TypeUtils::DataTypeToSerialString(src_dtype).c_str(), formats::ShapeToString(src_shape).c_str(),
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TypeUtils::DataTypeToSerialString(dst_dtype).c_str(), formats::ShapeToString(dst_shape).c_str());
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return NOT_CHANGED;
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}
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if (!KernelUtils::CheckSizeForTransOp(const_weight_ptr, op_desc_ptr)) {
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GELOGW("CheckSize failed, input size(shape %s) is not equal to weight size(shape %s)",
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formats::ShapeToString(src_shape).c_str(),
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formats::ShapeToString(const_weight_ptr->GetTensorDesc().GetShape()).c_str());
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return NOT_CHANGED;
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}
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GeTensorPtr output_ptr = MakeShared<GeTensor>(op_desc_ptr->GetOutputDesc(kReformatFirstOutput));
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if (output_ptr == nullptr) {
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GELOGW("Create shared ptr for GeTensor failed");
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return NOT_CHANGED;
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}
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GE_IF_BOOL_EXEC(output_ptr->SetData(input.at(0)->GetData()) != GRAPH_SUCCESS,
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GELOGW("set data failed");
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return NOT_CHANGED);
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v_output.emplace_back(output_ptr);
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GELOGD("ReFormatKernel success.");
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return SUCCESS;
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}
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REGISTER_KERNEL(REFORMAT, ReFormatKernel);
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} // namespace ge
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