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.
145 lines
5.0 KiB
145 lines
5.0 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/empty_kernel.h"
|
|
|
|
#include <memory>
|
|
|
|
#include "common/fp16_t.h"
|
|
#include "common/op/ge_op_utils.h"
|
|
#include "common/types.h"
|
|
#include "framework/common/debug/ge_log.h"
|
|
#include "framework/common/ge_inner_error_codes.h"
|
|
#include "host_kernels/kernel_utils.h"
|
|
#include "graph/passes/pass_utils.h"
|
|
#include "graph/utils/type_utils.h"
|
|
#include "inc/kernel_factory.h"
|
|
|
|
namespace ge {
|
|
namespace {
|
|
const size_t kEmptyFirstInput = 0;
|
|
const size_t kEmptyFirstOutput = 0;
|
|
const size_t kEmptyInputsSize = 1;
|
|
const size_t kEmptyOutputsSize = 1;
|
|
const size_t kShapeMaxDims = 1;
|
|
} // namespace
|
|
Status EmptyKernel::EmptyCheck(const OpDescPtr &op_desc_ptr, const std::vector<ConstGeTensorPtr> &input) {
|
|
if (op_desc_ptr == nullptr) {
|
|
GELOGW("Parameter's invalid, Input opDescPtr is nullptr.");
|
|
return PARAM_INVALID;
|
|
}
|
|
// check input size
|
|
bool size_check =
|
|
((op_desc_ptr->GetAllInputsDesc().size() != kEmptyInputsSize) || (input.size() != kEmptyInputsSize) ||
|
|
(op_desc_ptr->GetAllOutputsDesc().size() != kEmptyOutputsSize));
|
|
if (size_check) {
|
|
GELOGW("Input/Output size error. InDesc size:%zu, OutDesc size:%zu, in size:%zu ",
|
|
op_desc_ptr->GetAllInputsDesc().size(), op_desc_ptr->GetAllOutputsDesc().size(), input.size());
|
|
return PARAM_INVALID;
|
|
}
|
|
|
|
if (input.at(kEmptyFirstInput) == nullptr) {
|
|
GELOGW("Parameter's invalid, first input is nullptr.");
|
|
return PARAM_INVALID;
|
|
}
|
|
ConstGeTensorPtr shape = input.at(kEmptyFirstInput);
|
|
// Check if the dimension is 1-D
|
|
if (shape->GetTensorDesc().GetShape().GetDimNum() > kShapeMaxDims) {
|
|
GELOGW("Check if the dimension is 1-D failed, dims:%zu",
|
|
shape->GetTensorDesc().GetShape().GetDimNum());
|
|
return PARAM_INVALID;
|
|
}
|
|
return SUCCESS;
|
|
}
|
|
|
|
Status EmptyKernel::Compute(const OpDescPtr op_desc_ptr, const std::vector<ConstGeTensorPtr> &input,
|
|
std::vector<GeTensorPtr> &v_output) {
|
|
GELOGD("Empty kernel in");
|
|
Status ret = EmptyCheck(op_desc_ptr, input);
|
|
if (ret != SUCCESS) {
|
|
return NOT_CHANGED;
|
|
}
|
|
|
|
ConstGeTensorPtr shape = input.at(kEmptyFirstInput);
|
|
GE_CHECK_NOTNULL(shape);
|
|
int64_t total_data_size = 1;
|
|
std::vector<int64_t> shape_vec;
|
|
DataType shape_type = shape->GetTensorDesc().GetDataType();
|
|
// Calculate user input dim
|
|
if (shape_type == DT_INT32) {
|
|
ret = KernelUtils::CalcDims<int32_t>(shape, shape_vec, total_data_size);
|
|
} else if (shape_type == DT_INT64) {
|
|
ret = KernelUtils::CalcDims<int64_t>(shape, shape_vec, total_data_size);
|
|
} else {
|
|
GELOGW("shape type must be DT_INT32 or DT_INT64.");
|
|
return NOT_CHANGED;
|
|
}
|
|
|
|
if (ret != SUCCESS) {
|
|
GELOGE(ret, "CalcDims failed, dim_type: %s", TypeUtils::DataTypeToSerialString(shape_type).c_str());
|
|
return ret;
|
|
}
|
|
|
|
auto output_tensor_desc = op_desc_ptr->GetOutputDesc(kEmptyFirstOutput);
|
|
GeTensorPtr output_ptr = MakeShared<GeTensor>(output_tensor_desc);
|
|
if (output_ptr == nullptr) {
|
|
GELOGE(MEMALLOC_FAILED, "make_shared ge::GeTensor failed");
|
|
return MEMALLOC_FAILED;
|
|
}
|
|
|
|
DataType data_type = op_desc_ptr->GetOutputDesc(kEmptyFirstOutput).GetDataType();
|
|
ret = PARAM_INVALID;
|
|
uint64_t data = 0;
|
|
switch (data_type) {
|
|
#define CASE(dtype, type) \
|
|
case dtype: \
|
|
ret = KernelUtils::GenData(total_data_size, (type)data, output_ptr); \
|
|
break;
|
|
CASE(DT_FLOAT, float)
|
|
CASE(DT_FLOAT16, ge::fp16_t)
|
|
CASE(DT_INT8, int8_t)
|
|
CASE(DT_INT16, int16_t)
|
|
CASE(DT_UINT16, uint16_t)
|
|
CASE(DT_UINT8, uint8_t)
|
|
CASE(DT_INT32, int32_t)
|
|
CASE(DT_INT64, int64_t)
|
|
CASE(DT_UINT32, uint32_t)
|
|
CASE(DT_UINT64, uint64_t)
|
|
CASE(DT_BOOL, bool)
|
|
CASE(DT_DOUBLE, double)
|
|
#undef CASE
|
|
default:
|
|
GELOGW("invalid data type: %s", TypeUtils::DataTypeToSerialString(data_type).c_str());
|
|
return NOT_CHANGED;
|
|
}
|
|
|
|
if (ret != SUCCESS) {
|
|
GELOGE(ret, "GenData failed, data_type: %s", TypeUtils::DataTypeToSerialString(data_type).c_str());
|
|
return ret;
|
|
}
|
|
|
|
output_ptr->MutableTensorDesc().SetShape(GeShape(shape_vec));
|
|
output_ptr->MutableTensorDesc().SetDataType(DataType(data_type));
|
|
Format format = op_desc_ptr->GetOutputDesc(kEmptyFirstOutput).GetFormat();
|
|
output_ptr->MutableTensorDesc().SetFormat(format);
|
|
v_output.push_back(output_ptr);
|
|
GELOGI("Empty kernel success");
|
|
return SUCCESS;
|
|
}
|
|
|
|
REGISTER_KERNEL(EMPTY, EmptyKernel);
|
|
} // namespace ge
|