forked from mindspore-Ecosystem/mindspore
!8667 fix cast issue
From: @jonwe Reviewed-by: @robingrosman,@tom__chen Signed-off-by: @tom__chen
This commit is contained in:
Gitee
commit
fedb225a96
|
|
@ -0,0 +1,321 @@
|
|||
/**
|
||||
* 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 "backend/kernel_compiler/gpu/arrays/cast_gpu_kernel.h"
|
||||
|
||||
namespace mindspore {
|
||||
namespace kernel {
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
int8_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
int8_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
int8_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
int8_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
int8_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeUInt16), CastGpuKernel,
|
||||
int8_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeUInt32), CastGpuKernel,
|
||||
int8_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeUInt64), CastGpuKernel,
|
||||
int8_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeFloat32), CastGpuKernel,
|
||||
int8_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeFloat64), CastGpuKernel,
|
||||
int8_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeFloat16), CastGpuKernel,
|
||||
int8_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt8).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
int8_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
int16_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
int16_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
int16_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
int16_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
int16_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeUInt16), CastGpuKernel,
|
||||
int16_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeUInt32), CastGpuKernel,
|
||||
int16_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeUInt64), CastGpuKernel,
|
||||
int16_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, int16_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, int16_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, int16_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt16).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
int16_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
int32_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
int32_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
int32_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
int32_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
int32_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeUInt16), CastGpuKernel,
|
||||
int32_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeUInt32), CastGpuKernel,
|
||||
int32_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeUInt64), CastGpuKernel,
|
||||
int32_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, int32_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, int32_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, int32_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
int32_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
int64_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
int64_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
int64_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
int64_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
int64_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeUInt16), CastGpuKernel,
|
||||
int64_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeUInt32), CastGpuKernel,
|
||||
int64_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeUInt64), CastGpuKernel,
|
||||
int64_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, int64_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, int64_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, int64_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
int64_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
uint8_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
uint8_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
uint8_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
uint8_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
uint8_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeUInt16), CastGpuKernel,
|
||||
uint8_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeUInt32), CastGpuKernel,
|
||||
uint8_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeUInt64), CastGpuKernel,
|
||||
uint8_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, uint8_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, uint8_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, uint8_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt8).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
uint8_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
uint16_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
uint16_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
uint16_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
uint16_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
uint16_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt16),
|
||||
CastGpuKernel, uint16_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt32),
|
||||
CastGpuKernel, uint16_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeUInt64),
|
||||
CastGpuKernel, uint16_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, uint16_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, uint16_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, uint16_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt16).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
uint16_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
uint32_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
uint32_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
uint32_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
uint32_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
uint32_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt16),
|
||||
CastGpuKernel, uint32_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt32),
|
||||
CastGpuKernel, uint32_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeUInt64),
|
||||
CastGpuKernel, uint32_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, uint32_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, uint32_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, uint32_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt32).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
uint32_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
uint64_t, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
uint64_t, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
uint64_t, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
uint64_t, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
uint64_t, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt16),
|
||||
CastGpuKernel, uint64_t, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt32),
|
||||
CastGpuKernel, uint64_t, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeUInt64),
|
||||
CastGpuKernel, uint64_t, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, uint64_t, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, uint64_t, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, uint64_t, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeUInt64).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
uint64_t, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
half, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeInt16),
|
||||
CastGpuKernel, half, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeInt32),
|
||||
CastGpuKernel, half, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeInt64),
|
||||
CastGpuKernel, half, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeUInt8),
|
||||
CastGpuKernel, half, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeUInt16),
|
||||
CastGpuKernel, half, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeUInt32),
|
||||
CastGpuKernel, half, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeUInt64),
|
||||
CastGpuKernel, half, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, half, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, half, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, half, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat16).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
half, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
float, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeInt16),
|
||||
CastGpuKernel, float, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeInt32),
|
||||
CastGpuKernel, float, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeInt64),
|
||||
CastGpuKernel, float, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeUInt8),
|
||||
CastGpuKernel, float, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeUInt16),
|
||||
CastGpuKernel, float, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeUInt32),
|
||||
CastGpuKernel, float, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeUInt64),
|
||||
CastGpuKernel, float, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, float, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, float, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, float, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat32).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
float, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
double, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeInt16),
|
||||
CastGpuKernel, double, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeInt32),
|
||||
CastGpuKernel, double, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeInt64),
|
||||
CastGpuKernel, double, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeUInt8),
|
||||
CastGpuKernel, double, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeUInt16),
|
||||
CastGpuKernel, double, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeUInt32),
|
||||
CastGpuKernel, double, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeUInt64),
|
||||
CastGpuKernel, double, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat32),
|
||||
CastGpuKernel, double, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat64),
|
||||
CastGpuKernel, double, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeFloat16),
|
||||
CastGpuKernel, double, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeFloat64).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
double, bool)
|
||||
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeInt8), CastGpuKernel,
|
||||
bool, int8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeInt16), CastGpuKernel,
|
||||
bool, int16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeInt32), CastGpuKernel,
|
||||
bool, int32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeInt64), CastGpuKernel,
|
||||
bool, int64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeUInt8), CastGpuKernel,
|
||||
bool, uint8_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeUInt16), CastGpuKernel,
|
||||
bool, uint16_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeUInt32), CastGpuKernel,
|
||||
bool, uint32_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeUInt64), CastGpuKernel,
|
||||
bool, uint64_t)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeFloat32), CastGpuKernel,
|
||||
bool, float)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeFloat64), CastGpuKernel,
|
||||
bool, double)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeFloat16), CastGpuKernel,
|
||||
bool, half)
|
||||
MS_REG_GPU_KERNEL_TWO(Cast, KernelAttr().AddInputAttr(kNumberTypeBool).AddOutputAttr(kNumberTypeBool), CastGpuKernel,
|
||||
bool, bool)
|
||||
} // namespace kernel
|
||||
} // namespace mindspore
|
||||
|
|
@ -0,0 +1,82 @@
|
|||
/**
|
||||
* 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.
|
||||
*/
|
||||
|
||||
#ifndef MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_CAST_GPU_KERNEL_H_
|
||||
#define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_CAST_GPU_KERNEL_H_
|
||||
|
||||
#include <vector>
|
||||
#include "backend/kernel_compiler/gpu/gpu_kernel.h"
|
||||
#include "backend/kernel_compiler/gpu/gpu_kernel_factory.h"
|
||||
#include "backend/kernel_compiler/gpu/cuda_impl/cast_impl.cuh"
|
||||
|
||||
namespace mindspore {
|
||||
namespace kernel {
|
||||
template <typename S, typename T>
|
||||
class CastGpuKernel : public GpuKernel {
|
||||
public:
|
||||
CastGpuKernel() : input_size_(1), output_size_(1) {}
|
||||
~CastGpuKernel() = default;
|
||||
|
||||
const std::vector<size_t> &GetInputSizeList() const override { return input_size_list_; }
|
||||
const std::vector<size_t> &GetOutputSizeList() const override { return output_size_list_; }
|
||||
const std::vector<size_t> &GetWorkspaceSizeList() const override { return workspace_size_list_; }
|
||||
|
||||
bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
|
||||
const std::vector<AddressPtr> &outputs, void *stream_ptr) override {
|
||||
S *input_addr = GetDeviceAddress<S>(inputs, 0);
|
||||
T *output_addr = GetDeviceAddress<T>(outputs, 0);
|
||||
|
||||
Cast(input_size_, input_addr, output_addr, reinterpret_cast<cudaStream_t>(stream_ptr));
|
||||
return true;
|
||||
}
|
||||
bool Init(const CNodePtr &kernel_node) override {
|
||||
auto input_shapes = AnfAlgo::GetPrevNodeOutputInferShape(kernel_node, 0);
|
||||
auto output_shapes = AnfAlgo::GetOutputInferShape(kernel_node, 0);
|
||||
input_size_ = 1;
|
||||
for (size_t i = 0; i < input_shapes.size(); i++) {
|
||||
input_size_ *= input_shapes[i];
|
||||
}
|
||||
|
||||
output_size_ = 1;
|
||||
for (size_t j = 0; j < output_shapes.size(); j++) {
|
||||
output_size_ *= output_shapes[j];
|
||||
}
|
||||
|
||||
if (input_size_ != output_size_) {
|
||||
MS_LOG(EXCEPTION) << "Input size is not equal to output size.";
|
||||
}
|
||||
InitSizeLists();
|
||||
return true;
|
||||
}
|
||||
|
||||
protected:
|
||||
void InitSizeLists() override {
|
||||
input_size_list_.push_back(input_size_ * sizeof(T));
|
||||
output_size_list_.push_back(output_size_ * sizeof(T));
|
||||
}
|
||||
|
||||
private:
|
||||
int input_size_;
|
||||
int output_size_;
|
||||
|
||||
std::vector<size_t> input_size_list_;
|
||||
std::vector<size_t> output_size_list_;
|
||||
std::vector<size_t> workspace_size_list_;
|
||||
};
|
||||
} // namespace kernel
|
||||
} // namespace mindspore
|
||||
|
||||
#endif // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_GPU_CAST_GPU_KERNEL_H_
|
||||
|
|
@ -0,0 +1,262 @@
|
|||
/**
|
||||
* 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 <vector>
|
||||
#include <iostream>
|
||||
|
||||
#include "backend/kernel_compiler/gpu/cuda_impl/cast_impl.cuh"
|
||||
#include "runtime/device/gpu/cuda_common.h"
|
||||
|
||||
// Generic cast
|
||||
template <typename S, typename T>
|
||||
__device__ __forceinline__ void CastBase(const S *input_addr, T *output_addr) {
|
||||
*output_addr = static_cast<T>((*input_addr));
|
||||
}
|
||||
|
||||
// half --> integer
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, uint64_t *output_addr) {
|
||||
*output_addr = __half2ull_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, int64_t *output_addr) {
|
||||
*output_addr = __half2ll_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, uint32_t *output_addr) {
|
||||
*output_addr = __half2uint_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, int32_t *output_addr) {
|
||||
*output_addr = __half2int_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, uint16_t *output_addr) {
|
||||
*output_addr = __half2ushort_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, int16_t *output_addr) {
|
||||
*output_addr = __half2short_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, uint8_t *output_addr) {
|
||||
*output_addr = static_cast<uint8_t>(__half2ushort_rn((*input_addr)));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const half *input_addr, int8_t *output_addr) {
|
||||
*output_addr = static_cast<int8_t>(__half2short_rn((*input_addr)));
|
||||
}
|
||||
|
||||
// integer --> half
|
||||
__device__ __forceinline__ void CastBase(const uint64_t *input_addr, half *output_addr) {
|
||||
*output_addr = __ull2half_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const int64_t *input_addr, half *output_addr) {
|
||||
*output_addr = __ll2half_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const uint32_t *input_addr, half *output_addr) {
|
||||
*output_addr = __uint2half_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const int32_t *input_addr, half *output_addr) {
|
||||
*output_addr = __int2half_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const uint16_t *input_addr, half *output_addr) {
|
||||
*output_addr = __ushort2half_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const int16_t *input_addr, half *output_addr) {
|
||||
*output_addr = __short2half_rn((*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const uint8_t *input_addr, half *output_addr) {
|
||||
*output_addr = __ushort2half_rn(static_cast<uint16_t>(*input_addr));
|
||||
}
|
||||
|
||||
__device__ __forceinline__ void CastBase(const int8_t *input_addr, half *output_addr) {
|
||||
*output_addr = __short2half_rn(static_cast<int16_t>(*input_addr));
|
||||
}
|
||||
|
||||
// Cast
|
||||
template <typename S, typename T>
|
||||
__global__ void CastKernel(const int input_size, const S *input_addr, T *output_addr) {
|
||||
for (size_t pos = blockIdx.x * blockDim.x + threadIdx.x; pos < input_size; pos += blockDim.x * gridDim.x) {
|
||||
CastBase(input_addr + pos, output_addr + pos);
|
||||
}
|
||||
}
|
||||
|
||||
template <typename S, typename T>
|
||||
void Cast(const int input_size, const S *input_addr, T *output_addr, cudaStream_t stream) {
|
||||
CastKernel<<<GET_BLOCKS(input_size), GET_THREADS, 0, stream>>>(input_size, input_addr, output_addr);
|
||||
}
|
||||
|
||||
template void Cast(const int input_size, const int8_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int8_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const int16_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int16_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const int32_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int32_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const int64_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const int64_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint8_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint16_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint32_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const uint64_t *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const half *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const half *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const float *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const float *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const double *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const double *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
||||
template void Cast(const int input_size, const bool *input_addr, int8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, int16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, int32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, int64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, uint8_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, uint16_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, uint32_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, uint64_t *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, float *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, double *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, half *output_addr, cudaStream_t stream);
|
||||
template void Cast(const int input_size, const bool *input_addr, bool *output_addr, cudaStream_t stream);
|
||||
|
|
@ -0,0 +1,25 @@
|
|||
/**
|
||||
* 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.
|
||||
*/
|
||||
|
||||
#ifndef MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMPL_CAST_H_
|
||||
#define MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMPL_CAST_H_
|
||||
|
||||
#include <vector>
|
||||
#include "runtime/device/gpu/cuda_common.h"
|
||||
|
||||
template <typename S, typename T>
|
||||
void Cast(const int input_size, const S *input_addr, T *output_addr, cudaStream_t stream);
|
||||
#endif // MINDSPORE_CCSRC_KERNEL_GPU_CUDA_IMPL_CAST_H_
|
||||
Loading…
Reference in New Issue