wehub-resource-sync
109 lines
3.3 KiB
C++
109 lines
3.3 KiB
C++
/* Copyright (c) 2025 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/range_kernel.h"
|
|
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/common/amp_type_traits.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
#include "paddle/phi/kernels/funcs/range_function.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void RangeFunc(const Context& dev_ctx,
|
|
const T& start_value,
|
|
const T& end_value,
|
|
const T& step_value,
|
|
DenseTensor* out) {
|
|
int64_t size =
|
|
static_cast<int64_t>((end_value - start_value) / step_value + 1);
|
|
out->Resize({size});
|
|
T* out_data = dev_ctx.template Alloc<T>(out);
|
|
if (size == 0) {
|
|
return;
|
|
}
|
|
T value = start_value;
|
|
for (int64_t i = 0; i < size; ++i) {
|
|
out_data[i] = value;
|
|
value += step_value;
|
|
}
|
|
}
|
|
|
|
template <typename T, typename Context>
|
|
void RangeTensorKernel(const Context& dev_ctx,
|
|
const DenseTensor& start,
|
|
const DenseTensor& end,
|
|
const DenseTensor& step,
|
|
DenseTensor* out) {
|
|
int64_t size = 0;
|
|
using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
|
|
Scalar start_scalar(start);
|
|
Scalar end_scalar(end);
|
|
Scalar step_scalar(step);
|
|
MPType start_value = start_scalar.to<MPType>();
|
|
MPType end_value = end_scalar.to<MPType>();
|
|
MPType step_value = step_scalar.to<MPType>();
|
|
|
|
funcs::GetSizeForRange(start_value, end_value, step_value, &size);
|
|
|
|
out->Resize({size});
|
|
T* out_data = dev_ctx.template Alloc<T>(out);
|
|
if (size == 0) {
|
|
return;
|
|
}
|
|
MPType value = start_value;
|
|
for (int64_t i = 0; i < size; ++i) {
|
|
out_data[i] = static_cast<T>(value);
|
|
value += step_value;
|
|
}
|
|
}
|
|
|
|
template <typename T, typename Context>
|
|
void RangeKernel(const Context& dev_ctx,
|
|
const Scalar& start,
|
|
const Scalar& end,
|
|
const Scalar& step,
|
|
DenseTensor* out) {
|
|
int64_t size = 0;
|
|
using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
|
|
MPType start_value = start.to<MPType>();
|
|
MPType end_value = end.to<MPType>();
|
|
MPType step_value = step.to<MPType>();
|
|
funcs::GetSizeForRange(start_value, end_value, step_value, &size);
|
|
out->Resize({size});
|
|
T* out_data = dev_ctx.template Alloc<T>(out);
|
|
if (size == 0) {
|
|
return;
|
|
}
|
|
MPType value = start_value;
|
|
for (int64_t i = 0; i < size; ++i) {
|
|
out_data[i] = static_cast<T>(value);
|
|
value += step_value;
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(range_tensor,
|
|
CPU,
|
|
ALL_LAYOUT,
|
|
phi::RangeTensorKernel,
|
|
float,
|
|
double,
|
|
int,
|
|
int64_t) {}
|
|
PD_REGISTER_KERNEL(
|
|
range, CPU, ALL_LAYOUT, phi::RangeKernel, float, double, int, int64_t) {}
|