wehub-resource-sync
57 lines
1.8 KiB
C++
57 lines
1.8 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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namespace fusion {
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template <typename T, typename Context>
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void GenerateSequenceXPU(const Context& dev_ctx,
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const DenseTensor& x,
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DataType dtype,
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DenseTensor* out) {
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auto x_dims = x.dims();
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int batch = x_dims[0];
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int step = x_dims[1];
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DenseTensor out_host;
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out_host.Resize(x_dims);
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out_host.set_type(dtype);
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T* out_host_data = dev_ctx.template HostAlloc<T>(&out_host);
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for (int i = 0; i < step; i++) {
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out_host_data[i] = static_cast<T>(i);
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}
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for (int i = 1; i < batch; i++) {
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std::memcpy(out_host_data + i * step, out_host_data, step * sizeof(T));
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}
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dev_ctx.template Alloc<T>(out);
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phi::Copy(dev_ctx, out_host, out->place(), true, out);
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}
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} // namespace fusion
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} // namespace phi
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PD_REGISTER_KERNEL(generate_sequence_xpu,
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XPU,
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ALL_LAYOUT,
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phi::fusion::GenerateSequenceXPU,
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float,
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int,
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int64_t) {
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kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
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}
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