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.
70 lines
2.5 KiB
70 lines
2.5 KiB
/* Copyright (c) 2016 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. */
|
|
|
|
#ifdef PADDLE_WITH_XPU
|
|
#include "paddle/fluid/operators/range_op.h"
|
|
#include "paddle/fluid/framework/op_registry.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
template <typename T>
|
|
class XPURangeKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
auto* start_t = context.Input<framework::Tensor>("Start");
|
|
auto* end_t = context.Input<framework::Tensor>("End");
|
|
auto* step_t = context.Input<framework::Tensor>("Step");
|
|
auto* out = context.Output<framework::Tensor>("Out");
|
|
|
|
framework::Tensor n;
|
|
framework::TensorCopySync(*start_t, platform::CPUPlace(), &n);
|
|
T start = n.data<T>()[0];
|
|
framework::TensorCopySync(*end_t, platform::CPUPlace(), &n);
|
|
T end = n.data<T>()[0];
|
|
framework::TensorCopySync(*step_t, platform::CPUPlace(), &n);
|
|
T step = n.data<T>()[0];
|
|
|
|
int64_t size = 0;
|
|
GetSize(start, end, step, &size);
|
|
out->Resize(framework::make_ddim({size}));
|
|
|
|
T* out_data = out->mutable_data<T>(context.GetPlace());
|
|
|
|
framework::Tensor out_cpu;
|
|
T* out_cpu_data_ptr =
|
|
out_cpu.mutable_data<T>(platform::CPUPlace(), out->numel() * sizeof(T));
|
|
T value = start;
|
|
for (int64_t i = 0; i < size; ++i) {
|
|
out_cpu_data_ptr[i] = value;
|
|
value += step;
|
|
}
|
|
int ret = xpu_memcpy(out_data, out_cpu_data_ptr, out->numel() * sizeof(T),
|
|
XPUMemcpyKind::XPU_HOST_TO_DEVICE);
|
|
PADDLE_ENFORCE_EQ(ret, XPU_SUCCESS,
|
|
platform::errors::External("XPU xpu_memcpy return wrong "
|
|
"value[%d %s]",
|
|
ret, XPUAPIErrorMsg[ret]));
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace ops = paddle::operators;
|
|
REGISTER_OP_XPU_KERNEL(range, ops::XPURangeKernel<int>,
|
|
ops::XPURangeKernel<int64_t>, ops::XPURangeKernel<float>,
|
|
ops::XPURangeKernel<double>);
|
|
#endif // PADDLE_WITH_XPU
|