wehub-resource-sync
102 lines
3.8 KiB
C++
102 lines
3.8 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/kernels/linspace_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/data_type_transform.h"
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namespace phi {
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template <typename T, typename Context>
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T GetValueOfExpectedType(const Context& dev_ctx, const DenseTensor& x) {
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switch (x.dtype()) {
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case DataType::FLOAT32:
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return static_cast<T>(GetValue<float, Context>(dev_ctx, x));
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case DataType::FLOAT64:
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return static_cast<T>(GetValue<double, Context>(dev_ctx, x));
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case DataType::INT32:
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return static_cast<T>(GetValue<int32_t, Context>(dev_ctx, x));
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case DataType::INT64:
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return static_cast<T>(GetValue<int64_t, Context>(dev_ctx, x));
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case DataType::FLOAT16:
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return static_cast<T>(GetValue<phi::float16, Context>(dev_ctx, x));
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case DataType::BFLOAT16:
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return static_cast<T>(GetValue<phi::bfloat16, Context>(dev_ctx, x));
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case DataType::BOOL:
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return static_cast<T>(GetValue<bool, Context>(dev_ctx, x));
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case DataType::INT16:
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return static_cast<T>(GetValue<int16_t, Context>(dev_ctx, x));
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case DataType::INT8:
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return static_cast<T>(GetValue<int8_t, Context>(dev_ctx, x));
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case DataType::UINT8:
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return static_cast<T>(GetValue<uint8_t, Context>(dev_ctx, x));
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default:
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PADDLE_THROW(common::errors::Unimplemented(
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"Data type (%s) is not supported when casting data type.",
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x.dtype()));
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}
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}
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template <typename T, typename Context>
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void LinspaceKernel(const Context& dev_ctx,
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const DenseTensor& start,
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const DenseTensor& stop,
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const DenseTensor& number,
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DataType dtype,
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DenseTensor* out) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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T start_value = GetValueOfExpectedType<T, Context>(dev_ctx, start);
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T stop_value = GetValueOfExpectedType<T, Context>(dev_ctx, stop);
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int64_t num = GetValueOfExpectedType<int64_t, Context>(dev_ctx, number);
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PADDLE_ENFORCE_GE(num,
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0,
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common::errors::InvalidArgument(
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"The num of linspace op should be larger "
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"than or equal to 0, but received num is %d",
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num));
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out->Resize({num});
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T* out_data = dev_ctx.template Alloc<T>(out);
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if (num == 0) {
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return;
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}
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int r = xpu::linspace(dev_ctx.x_context(),
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reinterpret_cast<XPUType*>(out_data),
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static_cast<XPUType>(start_value),
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static_cast<XPUType>(stop_value),
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num);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "linspace");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(linspace,
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XPU,
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ALL_LAYOUT,
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phi::LinspaceKernel,
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float,
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phi::float16,
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phi::bfloat16,
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int8_t,
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uint8_t,
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int16_t,
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int32_t,
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int64_t) {
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kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
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kernel->InputAt(1).SetBackend(phi::Backend::ALL_BACKEND);
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kernel->InputAt(2).SetBackend(phi::Backend::ALL_BACKEND);
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}
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