wehub-resource-sync
63 lines
2.2 KiB
C++
63 lines
2.2 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/kernels/cumprod_kernel.h"
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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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#include "paddle/phi/kernels/funcs/complex_functors.h"
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#include "paddle/phi/kernels/funcs/cumprod.h"
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namespace phi {
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template <typename T, typename Context>
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void CumprodKernel(const Context& dev_ctx,
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const DenseTensor& input,
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int dim,
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bool exclusive,
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bool reverse,
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DenseTensor* out) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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const DenseTensor* x = &input;
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auto* x_data = x->data<T>();
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auto* out_data = dev_ctx.template Alloc<T>(out);
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DDim shape = x->dims();
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std::vector<int64_t> xshape = vectorize<int64_t>(shape);
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if (input.numel() == 0) {
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return;
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}
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if (dim < 0) dim += xshape.size();
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if (shape.size() == 0) {
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int r =
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xpu::copy<XPUType>(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(input.data<T>()),
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reinterpret_cast<XPUType*>(out->data<T>()),
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input.numel());
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "copy");
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return;
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}
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int r = xpu::cumprod(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(x_data),
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reinterpret_cast<XPUType*>(out_data),
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xshape,
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dim);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "cumprod");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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cumprod, XPU, ALL_LAYOUT, phi::CumprodKernel, float, int, int64_t) {}
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