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/**
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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/cast_kernel.h"
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#include <memory>
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#include <vector>
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#include "common/debug/log.h"
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#include "common/formats/formats.h"
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#include "common/formats/utils/formats_trans_utils.h"
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#include "common/fp16_t.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 "framework/common/ge_inner_error_codes.h"
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#include "graph/common/bcast.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 kCastInputSize = 1;
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}
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Status CastKernel::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("CastKernel begin.");
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if (input.size() != kCastInputSize) {
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GELOGE(PARAM_INVALID, "The number of input for cast must be %zu.", kCastInputSize);
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return PARAM_INVALID;
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}
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ConstGeTensorPtr const_weight_ptr = input[0];
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if (const_weight_ptr == nullptr) {
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GELOGE(PARAM_INVALID, "Input const_weight_ptr is nullptr.");
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return PARAM_INVALID;
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}
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const uint8_t *src_data = const_weight_ptr->GetData().data();
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// src_data == nullptr is supported
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if (op_desc_ptr == nullptr) {
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GELOGE(PARAM_INVALID, "Parameter's invalid, Input opDescPtr is nullptr.");
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return PARAM_INVALID;
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}
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GeTensorDesc op_desc = op_desc_ptr->GetOutputDesc(0);
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GeTensorDesc op_desc_in = op_desc_ptr->GetInputDesc(0);
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auto src_data_type = op_desc_in.GetDataType();
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auto src_shape = op_desc_in.GetShape();
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auto src_format = op_desc_in.GetFormat();
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auto data_type = op_desc.GetDataType();
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auto data_shape = op_desc.GetShape();
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auto data_format = op_desc.GetFormat();
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GELOGD("Current node %s, format %s, input shape %s, data type %s, weight format %s, shape %s, data type %s. "
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"output format %s, shape %s, data type %s", op_desc_ptr->GetName().c_str(),
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TypeUtils::FormatToSerialString(src_format).c_str(),
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formats::ShapeToString(src_shape).c_str(),
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TypeUtils::DataTypeToSerialString(src_data_type).c_str(),
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TypeUtils::FormatToSerialString(const_weight_ptr->GetTensorDesc().GetFormat()).c_str(),
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formats::ShapeToString(const_weight_ptr->GetTensorDesc().GetShape()).c_str(),
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TypeUtils::DataTypeToSerialString(const_weight_ptr->GetTensorDesc().GetDataType()).c_str(),
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TypeUtils::FormatToSerialString(data_format).c_str(),
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formats::ShapeToString(data_shape).c_str(),
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TypeUtils::DataTypeToSerialString(data_type).c_str());
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// const_weight_ptr->GetData().GetSize() == 0 is supported
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auto src_data_size = src_shape.GetShapeSize();
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if (src_data_size == 0 &&
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static_cast<int>(const_weight_ptr->GetData().GetSize()) == GetSizeByDataType(src_data_type)) {
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src_data_size = 1;
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GELOGD("Weight of the current const node is scalar");
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}
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const formats::CastArgs cast_args{src_data, static_cast<size_t>(src_data_size), src_data_type, data_type};
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formats::TransResult trans_result;
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GELOGD("Trans data type from %s to %s, shape %s, data size %ld",
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TypeUtils::DataTypeToSerialString(src_data_type).c_str(),
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TypeUtils::DataTypeToSerialString(data_type).c_str(),
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formats::ShapeToString(src_shape).c_str(), src_data_size);
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if ((src_format != data_format) || (src_shape.GetDims() != data_shape.GetDims()) ||
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(!formats::IsTransDataTypeSupport(cast_args))) {
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GELOGW("Transfer from data type %s to %s, format %s to %s, shape %s to %s is not supported",
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TypeUtils::DataTypeToSerialString(src_data_type).c_str(),
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TypeUtils::DataTypeToSerialString(data_type).c_str(),
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TypeUtils::FormatToSerialString(src_format).c_str(), TypeUtils::FormatToSerialString(data_format).c_str(),
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formats::ShapeToString(src_shape).c_str(), formats::ShapeToString(data_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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GELOGE(FAILED, "CheckSize failed, input size is not equal to weight size");
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return NOT_CHANGED;
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}
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if (formats::TransDataType(cast_args, trans_result) != SUCCESS) {
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GELOGE(INTERNAL_ERROR, "Failed to trans data type from %s to %s, shape %s, data size %ld.",
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TypeUtils::DataTypeToSerialString(src_data_type).c_str(),
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TypeUtils::DataTypeToSerialString(data_type).c_str(),
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formats::ShapeToString(src_shape).c_str(), src_data_size);
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return NOT_CHANGED;
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}
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GeTensorPtr output_ptr = MakeShared<GeTensor>(op_desc_ptr->GetOutputDesc(0));
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if (output_ptr == nullptr) {
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return FAILED;
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}
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if (output_ptr->SetData(trans_result.data.get(), trans_result.length) != SUCCESS) {
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GELOGW("Compute: SetData failed");
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}
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v_output.push_back(output_ptr);
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return SUCCESS;
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}
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REGISTER_KERNEL(CAST, CastKernel);
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} // namespace ge
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