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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
//
// 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 "paddle/phi/kernels/cast_kernel.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/core/visit_type.h"
#include "paddle/phi/kernels/cpu/cast_impl.h"
namespace phi {
template <typename T, typename Context>
void CastKernel(const Context& dev_ctx,
const DenseTensor& x,
DataType out_dtype,
DenseTensor* out) {
if (x.dtype() == out_dtype) {
if (x.dims() == make_ddim({-1})) {
*out = x;
return;
}
if (!out->IsSharedWith(x)) {
Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
}
return;
}
if (out->IsSharedWith(x)) {
PD_VISIT_ALL_CPU_TYPES(out_dtype, "CastInplaceKernelImpl", ([&] {
CastInplaceKernelImpl<T, data_t>(
dev_ctx, x, out_dtype, out);
}));
} else {
PD_VISIT_ALL_CPU_TYPES(out_dtype, "CastKernelImpl", ([&] {
CastKernelImpl<T, data_t>(
dev_ctx, x, out_dtype, out);
}));
}
}
#ifdef _WIN32
INSTANTIATE_CAST_KERNEL(float, CPUContext)
INSTANTIATE_CAST_KERNEL(double, CPUContext)
INSTANTIATE_CAST_KERNEL(int, CPUContext)
INSTANTIATE_CAST_KERNEL(int64_t, CPUContext)
INSTANTIATE_CAST_KERNEL(uint8_t, CPUContext)
INSTANTIATE_CAST_KERNEL(uint16_t, CPUContext)
INSTANTIATE_CAST_KERNEL(uint32_t, CPUContext)
INSTANTIATE_CAST_KERNEL(uint64_t, CPUContext)
INSTANTIATE_CAST_KERNEL(bool, CPUContext)
INSTANTIATE_CAST_KERNEL(int16_t, CPUContext)
INSTANTIATE_CAST_KERNEL(float16, CPUContext)
INSTANTIATE_CAST_KERNEL(bfloat16, CPUContext)
#endif
} // namespace phi
PD_REGISTER_KERNEL(cast,
CPU,
ALL_LAYOUT,
phi::CastKernel,
float,
double,
int,
int64_t,
int16_t,
bool,
int8_t,
uint8_t,
uint16_t,
uint32_t,
uint64_t,
phi::float8_e4m3fn,
phi::float8_e5m2,
phi::float16,
phi::bfloat16,
phi::complex64,
phi::complex128) {
kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
}