wehub-resource-sync
110 lines
4.2 KiB
Plaintext
110 lines
4.2 KiB
Plaintext
// Copyright (c) 2022 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/put_along_axis_kernel.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/tensor_utils.h"
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#include "paddle/phi/core/utils/data_type.h"
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#include "paddle/phi/kernels/funcs/gather_scatter_functor.h"
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namespace phi {
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template <typename T, typename Context>
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void PutAlongAxisKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& index,
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const DenseTensor& value,
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int axis,
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const std::string& reduce,
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bool include_self,
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DenseTensor* out) {
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const auto& index_type = index.dtype();
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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if (reduce == "add") {
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if (index_type == DataType::INT32) {
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funcs::gpu_scatter_add_kernel<T, int32_t>(
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*out, axis, index, value, include_self, dev_ctx);
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} else if (index_type == DataType::INT64) {
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funcs::gpu_scatter_add_kernel<T, int64_t>(
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*out, axis, index, value, include_self, dev_ctx);
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}
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} else if (reduce == "multiply" || reduce == "mul") {
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if (index_type == DataType::INT32) {
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funcs::gpu_scatter_mul_kernel<T, int32_t>(
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*out, axis, index, value, include_self, dev_ctx);
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} else if (index_type == DataType::INT64) {
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funcs::gpu_scatter_mul_kernel<T, int64_t>(
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*out, axis, index, value, include_self, dev_ctx);
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}
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} else if (reduce == "assign") {
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if (index_type == DataType::INT32) {
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funcs::gpu_scatter_assign_kernel<T, int32_t>(
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*out, axis, index, value, include_self, dev_ctx);
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} else if (index_type == DataType::INT64) {
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funcs::gpu_scatter_assign_kernel<T, int64_t>(
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*out, axis, index, value, include_self, dev_ctx);
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}
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} else if (reduce == "mean") {
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if (index_type == DataType::INT32) {
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funcs::gpu_scatter_mean_kernel<T, int32_t>(
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*out, axis, index, value, include_self, dev_ctx);
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} else if (index_type == DataType::INT64) {
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funcs::gpu_scatter_mean_kernel<T, int64_t>(
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*out, axis, index, value, include_self, dev_ctx);
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}
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} else if (reduce == "amax") {
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if (index_type == DataType::INT32) {
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funcs::gpu_scatter_max_kernel<T, int32_t>(
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*out, axis, index, value, include_self, dev_ctx);
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} else if (index_type == DataType::INT64) {
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funcs::gpu_scatter_max_kernel<T, int64_t>(
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*out, axis, index, value, include_self, dev_ctx);
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}
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} else if (reduce == "amin") {
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if (index_type == DataType::INT32) {
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funcs::gpu_scatter_min_kernel<T, int32_t>(
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*out, axis, index, value, include_self, dev_ctx);
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} else if (index_type == DataType::INT64) {
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funcs::gpu_scatter_min_kernel<T, int64_t>(
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*out, axis, index, value, include_self, dev_ctx);
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}
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} else {
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PADDLE_THROW(errors::InvalidArgument(
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"can not support reduce: '%s' for scatter kernel, only "
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"support reduce op: 'add', 'assign', 'mul', 'mean', 'amin', 'amax' and "
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"'multiply', the "
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"default reduce op is 'assign' ",
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reduce));
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return;
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(put_along_axis,
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GPU,
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ALL_LAYOUT,
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phi::PutAlongAxisKernel,
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float,
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double,
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int64_t,
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uint8_t,
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int16_t,
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int,
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phi::float16,
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phi::bfloat16) {}
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