wehub-resource-sync
81 lines
2.6 KiB
C++
81 lines
2.6 KiB
C++
/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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/uniform_kernel.h"
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#include <string>
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#include "paddle/phi/backends/xpu/xpu_context.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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#include "paddle/phi/kernels/funcs/uniform_real_distribution.h"
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namespace phi {
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template <typename T, typename Context>
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void UniformRawKernel(const Context &dev_ctx,
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const IntArray &shape,
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DataType dtype,
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const Scalar &min,
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const Scalar &max,
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int seed,
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int diag_num,
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int diag_step,
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float diag_val,
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DenseTensor *out) {
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out->Resize(shape.GetData());
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T *data = dev_ctx.template Alloc<T>(out);
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int64_t size = out->numel();
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std::unique_ptr<T[]> data_cpu(new T[size]);
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std::shared_ptr<std::mt19937_64> engine;
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if (seed) {
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engine = std::make_shared<std::mt19937_64>();
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engine->seed(seed);
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} else {
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engine = dev_ctx.GetGenerator()->GetCPUEngine();
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}
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UniformRealDistribution<T>(
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data_cpu.get(), size, min.to<float>(), max.to<float>(), engine);
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if (diag_num > 0) {
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PADDLE_ENFORCE_GT(
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size,
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(diag_num - 1) * (diag_step + 1),
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common::errors::InvalidArgument(
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"ShapeInvalid: the diagonal's elements is equal (num-1) "
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"* (step-1) with num %d, step %d,"
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"It should be smaller than %d, but received %d",
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diag_num,
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diag_step,
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(diag_num - 1) * (diag_step + 1),
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size));
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for (int64_t i = 0; i < diag_num; ++i) {
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int64_t pos = i * diag_step + i;
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data_cpu[pos] = diag_val;
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}
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}
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memory_utils::Copy(dev_ctx.GetPlace(),
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data,
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phi::CPUPlace(),
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reinterpret_cast<void *>(data_cpu.get()),
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size * sizeof(T));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(uniform_raw, XPU, ALL_LAYOUT, phi::UniformRawKernel, float) {
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}
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