wehub-resource-sync
117 lines
3.6 KiB
Plaintext
117 lines
3.6 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/masked_select_kernel.h"
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#include <thrust/device_ptr.h>
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#include <thrust/device_vector.h>
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#include <thrust/reverse.h>
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#include <thrust/scan.h>
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/amp_type_traits.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/expand_kernel.h"
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#include "paddle/phi/kernels/funcs/common_shape.h"
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#include "paddle/phi/kernels/funcs/select_impl.cu.h"
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namespace phi {
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template <typename MT, typename InT, typename OutT>
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struct MaskedSelectFunctor {
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HOSTDEVICE MaskedSelectFunctor() = default;
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HOSTDEVICE inline void operator()(OutT* out,
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const MT* mask,
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const InT* value,
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int num) {
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int store_fix = 0;
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for (int idx = 0; idx < num; idx++) {
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if (mask[idx]) {
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out[store_fix++] = value[idx];
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}
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}
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}
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};
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template <typename T, typename Context>
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void MaskedSelectKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& mask,
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DenseTensor* out) {
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DenseTensor mask_expand;
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DenseTensor x_expand;
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if (x.numel() == 0 || mask.numel() == 0) {
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out->Resize({0});
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dev_ctx.template Alloc<T>(out);
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return;
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}
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auto expanded_size = funcs::MatrixGetBroadcastBatchPortion(
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vectorize(x.dims()), vectorize(mask.dims()));
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DDim expand_dims = make_ddim(expanded_size);
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if (mask.dims() != expand_dims) {
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ExpandKernel<bool, Context>(
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dev_ctx, mask, IntArray(expanded_size), &mask_expand);
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} else {
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mask_expand = mask;
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}
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if (x.dims() != expand_dims) {
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ExpandKernel<T, Context>(dev_ctx, x, IntArray(expanded_size), &x_expand);
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} else {
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x_expand = x;
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}
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auto input_dim = x_expand.dims();
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auto mask_dim = mask_expand.dims();
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PADDLE_ENFORCE_EQ(input_dim,
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mask_dim,
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common::errors::InvalidArgument(
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"The dim size of input and mask in OP(masked_selected) "
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"must be equal, but got input dim:(%ld), mask dim: "
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"(%ld). Please check input "
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"value.",
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input_dim,
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mask_dim));
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using Functor = MaskedSelectFunctor<bool, T, T>;
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funcs::SelectKernel<bool, T, T, 1, Functor>(
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dev_ctx, mask_expand, x_expand, out, Functor());
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}
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} // namespace phi
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PD_REGISTER_KERNEL(masked_select,
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GPU,
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ALL_LAYOUT,
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phi::MaskedSelectKernel,
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bool,
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float,
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double,
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int,
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int8_t,
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int64_t,
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int16_t,
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uint8_t,
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phi::float16,
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phi::bfloat16,
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phi::complex64,
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phi::complex128) {
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kernel->InputAt(1).SetDataType(phi::DataType::BOOL);
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}
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