wehub-resource-sync
62 lines
2.3 KiB
C++
62 lines
2.3 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/inverse_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void InverseKernel(const Context& dev_ctx,
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const DenseTensor& x,
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DenseTensor* out) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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auto out_data = dev_ctx.template Alloc<T>(out);
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int64_t x_dims_len = x.dims().size();
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PADDLE_ENFORCE_GT(
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x_dims_len,
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1,
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common::errors::InvalidArgument(
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"Dimensions of input should be greater than 1, but got %d.",
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x_dims_len));
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int64_t n = x.dims()[x_dims_len - 1];
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int64_t batch = x_dims_len > 2 ? x.numel() / (n * n) : 1;
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PADDLE_ENFORCE_LE(n * n * sizeof(T),
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8192,
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common::errors::InvalidArgument(
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"The size of a single matrix (%d bytes) exceeds the "
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"maximum numbers of bytes xpu supports (8192).",
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n * n * sizeof(T)));
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auto RAII_GUARD = xpu::ctx_guard(dev_ctx.x_context());
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auto* info_xpu = RAII_GUARD.alloc_l3_or_gm<int>(batch);
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// Xpu inverse api has check for singularity itself.
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int r = xpu::inverse<XPUType>(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(x.data<T>()),
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reinterpret_cast<XPUType*>(out_data),
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info_xpu,
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batch,
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n);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "inverse");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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inverse, XPU, ALL_LAYOUT, phi::InverseKernel, float, double) {}
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