You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
94 lines
3.4 KiB
94 lines
3.4 KiB
/**
|
|
* Copyright 2020 Huawei Technologies Co., Ltd
|
|
*
|
|
* 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/unpack_kernel.h"
|
|
#include "common/debug/ge_log.h"
|
|
#include "common/op/ge_op_utils.h"
|
|
#include "common/op/ge_op_utils.h"
|
|
#include "common/types.h"
|
|
#include "graph/debug/ge_attr_define.h"
|
|
#include "inc/kernel_factory.h"
|
|
|
|
namespace ge {
|
|
namespace {
|
|
const size_t kUnpackInputNum = 1;
|
|
} // namespace
|
|
template <typename T>
|
|
Status CalcUpack(const int32_t num, const DataType data_type, const T *value, std::vector<GeTensorPtr> &v_output) {
|
|
GE_CHECK_NOTNULL(value);
|
|
// not support num=0
|
|
if (num > 0) {
|
|
unique_ptr<T[]> buf(new (std::nothrow) T[num]());
|
|
GE_CHECK_NOTNULL(buf);
|
|
for (int32_t i = 0; i < num; ++i) {
|
|
GeTensorPtr output_ptr = ge::MakeShared<ge::GeTensor>();
|
|
GE_CHECK_NOTNULL(output_ptr);
|
|
|
|
buf[i] = *value;
|
|
++value;
|
|
GE_CHK_STATUS_RET(output_ptr->SetData(reinterpret_cast<uint8_t *>(&buf[i]), sizeof(T)),
|
|
"unpack set data failed!");
|
|
output_ptr->MutableTensorDesc().SetDataType(data_type);
|
|
v_output.push_back(output_ptr);
|
|
}
|
|
} else {
|
|
GELOGW("num <= 0 is not support.");
|
|
return NOT_CHANGED;
|
|
}
|
|
return SUCCESS;
|
|
}
|
|
|
|
Status UnpackKernel::Compute(const OpDescPtr attr, const std::vector<ge::ConstGeTensorPtr> &input,
|
|
std::vector<ge::GeTensorPtr> &v_output) {
|
|
GE_CHECK_NOTNULL(attr);
|
|
// check input num
|
|
GE_RT_PARAM_INVALID_WITH_LOG_IF_FALSE(input.size() == kUnpackInputNum,
|
|
"The number of input for unpack must be %zu, real is %zu.", kUnpackInputNum,
|
|
input.size());
|
|
|
|
ConstGeTensorPtr dims = input[0];
|
|
GE_CHECK_NOTNULL(dims);
|
|
|
|
if (dims->GetTensorDesc().GetShape().GetDimNum() != 1) {
|
|
GELOGW("input tensor not 1 dim");
|
|
return NOT_CHANGED;
|
|
}
|
|
|
|
ge::DataType data_type;
|
|
GE_CHK_BOOL_RET_STATUS(AttrUtils::GetDataType(attr, ATTR_NAME_T, data_type), PARAM_INVALID, "get T attr failed.");
|
|
// data_type must be FLOAT or INT32
|
|
GE_CHK_BOOL_RET_STATUS((data_type == DT_FLOAT || data_type == DT_INT32), PARAM_INVALID, "T must be float or int32.");
|
|
|
|
int64_t num = 0;
|
|
GE_CHK_BOOL_RET_STATUS(AttrUtils::GetInt(attr, UNPACK_ATTR_NAME_NUM, num), PARAM_INVALID, "get num attr failed.");
|
|
size_t data_count = dims->GetData().size() / sizeof(float);
|
|
// num must equal to input_data size
|
|
GE_RT_PARAM_INVALID_WITH_LOG_IF_FALSE(data_count == static_cast<size_t>(num),
|
|
"input tensor size not equal num, data_count:%zu, num:%ld.", data_count, num);
|
|
// calculate result
|
|
if (data_type == DT_FLOAT) {
|
|
GE_RETURN_IF_ERROR(CalcUpack(num, data_type, reinterpret_cast<const float *>(dims->GetData().data()), v_output));
|
|
} else {
|
|
GE_RETURN_IF_ERROR(CalcUpack(num, data_type, reinterpret_cast<const int32_t *>(dims->GetData().data()), v_output));
|
|
}
|
|
|
|
return SUCCESS;
|
|
}
|
|
|
|
REGISTER_KERNEL(UNPACK, UnpackKernel);
|
|
} // namespace ge
|
|
|