* Copyright (c) 2025 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
#include "host_kernels/custom_ops/reformat_kernel.h"
#include "formats/utils/formats_trans_utils.h"
#include "common/plugin/ge_make_unique_util.h"
#include "framework/common/ge_inner_error_codes.h"
#include "framework/common/op/ge_op_utils.h"
#include "framework/common/framework_types_internal.h"
#include "framework/common/util.h"
#include "framework/common/debug/ge_log.h"
#include "host_kernels/kernel_utils.h"
#include "graph/utils/type_utils.h"
#include "host_kernels/kernel_factory.h"
namespace ge {
namespace {
const size_t kReFormatInputSize = 1;
const size_t kReformatFirstInput = 0;
const size_t kReformatFirstOutput = 0;
}
Status ReFormatKernel::ValidateInput(const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input) const {
GE_CHECK_NOTNULL(op_desc_ptr);
if (op_desc_ptr->GetInputsSize() != kReFormatInputSize) {
GELOGW("trans_op has more than 1 input_size.");
return PARAM_INVALID;
}
if (input.empty()) {
GELOGE(PARAM_INVALID, "Input tensor vector is empty");
return PARAM_INVALID;
}
return SUCCESS;
}
Status ReFormatKernel::Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
std::vector<GeTensorPtr> &v_output) {
GELOGD("ReFormatKernel begin.");
Status status = ValidateInput(op_desc_ptr, input);
if (status != SUCCESS) {
return status;
}
ConstGeTensorPtr const_weight_ptr = input[kReformatFirstInput];
if (const_weight_ptr == nullptr) {
GELOGW("Parameter's invalid, Input_0 is nullptr.");
return NOT_CHANGED;
}
const auto &op_desc = op_desc_ptr->MutableOutputDesc(kReformatFirstOutput);
const auto &op_desc_in = op_desc_ptr->MutableInputDesc(kReformatFirstInput);
GE_CHECK_NOTNULL(op_desc);
GE_CHECK_NOTNULL(op_desc_in);
const auto &src_shape = op_desc_in->GetShape().GetDims();
const auto &src_dtype = op_desc_in->GetDataType();
const auto &dst_shape = op_desc->GetShape().GetDims();
const auto &dst_dtype = op_desc->GetDataType();
if (src_dtype != dst_dtype || src_shape != dst_shape) {
GELOGW("Check params failed. src data type %s and shape %s should be equal to dst data type %s and shape %s",
TypeUtils::DataTypeToSerialString(src_dtype).c_str(), formats::ShapeToString(src_shape).c_str(),
TypeUtils::DataTypeToSerialString(dst_dtype).c_str(), formats::ShapeToString(dst_shape).c_str());
return NOT_CHANGED;
}
if (!KernelUtils::CheckSizeForTransOp(const_weight_ptr, op_desc_ptr)) {
GELOGW("CheckSize failed, input size(shape %s) is not equal to weight size(shape %s)",
formats::ShapeToString(src_shape).c_str(),
formats::ShapeToString(const_weight_ptr->GetTensorDesc().GetShape()).c_str());
return NOT_CHANGED;
}
GeTensorPtr output_ptr = MakeShared<GeTensor>(op_desc_ptr->GetOutputDesc(kReformatFirstOutput));
if (output_ptr == nullptr) {
GELOGW("Create shared ptr for GeTensor failed");
return NOT_CHANGED;
}
GE_IF_BOOL_EXEC(output_ptr->SetData(input.at(0)->GetData()) != GRAPH_SUCCESS,
GELOGW("set data failed");
return NOT_CHANGED);
v_output.emplace_back(output_ptr);
GELOGD("ReFormatKernel success.");
return SUCCESS;
}
REGISTER_COMPUTE_NODE_KERNEL(REFORMAT, ReFormatKernel);
}