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graphengine/ge/host_kernels/permute_kernel.cc

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6.0 KiB

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/**
* Copyright 2020 Huawei Technologies Co., Ltd
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*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "host_kernels/permute_kernel.h"
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#include <memory>
#include <vector>
#include "common/debug/log.h"
#include "framework/common/debug/ge_log.h"
#include "common/op/ge_op_utils.h"
#include "common/types.h"
#include "common/util.h"
#include "graph/common/bcast.h"
#include "graph/utils/type_utils.h"
#include "inc/kernel_factory.h"
#include "common/formats/formats.h"
#include "common/formats/format_transfers/format_transfer_transpose.h"
#include "common/formats/utils/formats_trans_utils.h"
#include "host_kernels/kernel_utils.h"
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#include "framework/common/ge_inner_error_codes.h"
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namespace ge {
namespace {
const char *const kAttrOrder = "order";
const char *const kAttrPerm = "perm";
const size_t kTbePermuteInputSize = 2;
} // namespace
Status PermuteKernel::ValidateInput(const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input) {
if (input.empty()) {
GELOGE(PARAM_INVALID, "Input tensor vector is empty");
return PARAM_INVALID;
}
ConstGeTensorPtr const_weight_ptr = input[0];
if (const_weight_ptr == nullptr) {
GELOGE(PARAM_INVALID, "Input const_weight_ptr is nullptr.");
return PARAM_INVALID;
}
const uint8_t *src_data = const_weight_ptr->GetData().data();
if ((op_desc_ptr == nullptr) || (src_data == nullptr)) {
GELOGW("Input opDescPtr is nullptr.");
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return PARAM_INVALID;
}
if (op_desc_ptr->GetInputsSize() >= kTbePermuteInputSize) {
GELOGW("trans_op has more than 1 input_size.");
return NOT_CHANGED;
}
return SUCCESS;
}
Status PermuteKernel::Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
std::vector<GeTensorPtr> &v_output) {
GELOGD("PermuteKernel begin.");
Status status = ValidateInput(op_desc_ptr, input);
if (status != SUCCESS) {
return status;
}
ConstGeTensorPtr const_weight_ptr = input[0];
GeTensorDesc op_desc = op_desc_ptr->GetOutputDesc(0);
GeTensorDesc op_desc_in = op_desc_ptr->GetInputDesc(0);
auto src_format = op_desc_in.GetFormat();
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auto src_shape = op_desc_in.GetShape().GetDims();
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auto src_data_type = op_desc_in.GetDataType();
auto data_shape = op_desc.GetShape().GetDims();
auto data_format = op_desc.GetFormat();
auto data_type = op_desc.GetDataType();
GELOGD(
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"current node %s, format %s, input shape %s, data type %s, weight format %s, shape %s, data type %s. "
"output format %s, shape %s, data type %s",
op_desc_ptr->GetName().c_str(), TypeUtils::FormatToSerialString(src_format).c_str(),
formats::ShapeToString(src_shape).c_str(), TypeUtils::DataTypeToSerialString(src_data_type).c_str(),
TypeUtils::FormatToSerialString(const_weight_ptr->GetTensorDesc().GetFormat()).c_str(),
formats::ShapeToString(const_weight_ptr->GetTensorDesc().GetShape()).c_str(),
TypeUtils::DataTypeToSerialString(const_weight_ptr->GetTensorDesc().GetDataType()).c_str(),
TypeUtils::FormatToSerialString(data_format).c_str(), formats::ShapeToString(data_shape).c_str(),
TypeUtils::DataTypeToSerialString(data_type).c_str());
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vector<int64_t> perm_list;
if (!AttrUtils::GetListInt(op_desc_ptr, kAttrOrder, perm_list) &&
!AttrUtils::GetListInt(op_desc_ptr, kAttrPerm, perm_list)) {
GELOGW("Get perm_list failed, Transpose from shape %s to %s is not supported, ",
formats::ShapeToString(src_shape).c_str(), formats::ShapeToString(data_shape).c_str());
return NOT_CHANGED;
}
GELOGD("Transpose from %s to %s, shape %s to %s, perm_list %s, data type %s",
TypeUtils::FormatToSerialString(src_format).c_str(), TypeUtils::FormatToSerialString(data_format).c_str(),
formats::ShapeToString(src_shape).c_str(), formats::ShapeToString(data_shape).c_str(),
formats::ShapeToString(perm_list).c_str(), TypeUtils::DataTypeToSerialString(src_data_type).c_str());
if ((data_shape.empty()) || (src_data_type != data_type)) {
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GELOGW("Transpose is not supported. Invalid shape (src: %s, dst: %s) or inconsistent datatype (src: %s, dst: %s)",
formats::ShapeToString(src_shape).c_str(), formats::ShapeToString(data_shape).c_str(),
TypeUtils::DataTypeToSerialString(src_data_type).c_str(),
TypeUtils::DataTypeToSerialString(data_type).c_str());
return NOT_CHANGED;
}
if (!KernelUtils::CheckSizeForTransOp(const_weight_ptr, op_desc_ptr)) {
GELOGW("CheckSize failed, input size is not equal to weight size");
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return NOT_CHANGED;
}
const uint8_t *src_data = const_weight_ptr->GetData().data();
formats::TransResult trans_result;
auto ret = formats::TransposeWithShapeCheck(src_data, src_shape, data_shape, src_data_type, perm_list, trans_result);
if (ret != SUCCESS) {
GELOGW("Failed to Transpose from %s to %s, shape %s to %s, perm_list %s, data type %s",
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TypeUtils::FormatToSerialString(src_format).c_str(), TypeUtils::FormatToSerialString(data_format).c_str(),
formats::ShapeToString(src_shape).c_str(), formats::ShapeToString(data_shape).c_str(),
formats::ShapeToString(perm_list).c_str(), TypeUtils::DataTypeToSerialString(src_data_type).c_str());
return NOT_CHANGED;
}
GeTensorPtr output_ptr = MakeShared<GeTensor>(op_desc_ptr->GetOutputDesc(0));
GE_CHECK_NOTNULL(output_ptr);
GE_CHK_STATUS_RET(output_ptr->SetData(trans_result.data.get(), trans_result.length));
v_output.push_back(output_ptr);
return SUCCESS;
}
REGISTER_KERNEL(PERMUTE, PermuteKernel);
REGISTER_KERNEL(TRANSPOSED, PermuteKernel);
} // namespace ge