wehub-resource-sync
130 lines
4.5 KiB
C++
130 lines
4.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
//
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
// you may not use this file except in compliance with the License.
|
|
// You may obtain a copy of the License at
|
|
//
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
//
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
// See the License for the specific language governing permissions and
|
|
// limitations under the License.
|
|
|
|
#include "paddle/phi/kernels/masked_select_kernel.h"
|
|
|
|
#include "glog/logging.h"
|
|
|
|
#include "paddle/phi/backends/xpu/enforce_xpu.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
|
|
#include "paddle/phi/common/memory_utils.h"
|
|
#include "paddle/phi/kernels/expand_kernel.h"
|
|
#include "paddle/phi/kernels/funcs/common_shape.h"
|
|
|
|
namespace phi {
|
|
|
|
template <typename T, typename Context>
|
|
void MaskedSelectKernel(const Context& dev_ctx,
|
|
const DenseTensor& x,
|
|
const DenseTensor& mask,
|
|
DenseTensor* out) {
|
|
using XPUType = typename XPUTypeTrait<T>::Type;
|
|
if (x.numel() == 0 || mask.numel() == 0) {
|
|
out->Resize({0});
|
|
dev_ctx.template Alloc<T>(out);
|
|
return;
|
|
}
|
|
|
|
auto expanded_size = funcs::MatrixGetBroadcastBatchPortion(
|
|
vectorize(x.dims()), vectorize(mask.dims()));
|
|
DDim expand_dims = make_ddim(expanded_size);
|
|
DenseTensor mask_expand;
|
|
DenseTensor x_expand;
|
|
if (mask.dims() != expand_dims) {
|
|
ExpandKernel<bool, Context>(
|
|
dev_ctx, mask, IntArray(expanded_size), &mask_expand);
|
|
} else {
|
|
mask_expand = mask;
|
|
}
|
|
|
|
if (x.dims() != expand_dims) {
|
|
ExpandKernel<T, Context>(dev_ctx, x, IntArray(expanded_size), &x_expand);
|
|
} else {
|
|
x_expand = x;
|
|
}
|
|
|
|
auto* mask_data = mask_expand.data<bool>();
|
|
auto* input_data = reinterpret_cast<const XPUType*>(x_expand.data<T>());
|
|
auto input_dim = x_expand.dims();
|
|
auto mask_dim = mask_expand.dims();
|
|
|
|
PADDLE_ENFORCE_EQ(input_dim,
|
|
mask_dim,
|
|
common::errors::InvalidArgument(
|
|
"The dim size of input and mask in OP(masked_selected) "
|
|
"must be equal, but got input dim:(%ld), mask dim: "
|
|
"(%ld). Please check input "
|
|
"value.",
|
|
input_dim,
|
|
mask_dim));
|
|
xpu::ctx_guard RAII_GUARD(dev_ctx.x_context());
|
|
int64_t* out_size = RAII_GUARD.alloc_l3_or_gm<int64_t>(1);
|
|
int64_t out_size_cpu;
|
|
|
|
PADDLE_ENFORCE_XDNN_SUCCESS(
|
|
xpu::nonzero_count(
|
|
dev_ctx.x_context(), mask_data, out_size, mask.numel()),
|
|
"nonzero_count ");
|
|
memory_utils::Copy(CPUPlace(),
|
|
static_cast<void*>(&out_size_cpu),
|
|
mask.place(),
|
|
static_cast<void*>(out_size),
|
|
sizeof(int64_t));
|
|
if (std::getenv("XPUSIM_SKIP_RUN") &&
|
|
std::strcmp(std::getenv("XPUSIM_SKIP_RUN"), "1") == 0) {
|
|
VLOG(3) << "WARNING: In the simulator mode, the variable out_size_cpu "
|
|
"stores an uninitialized value. To avoid allocating a memory of "
|
|
"random size, we assign numel to out_size_cpu";
|
|
out_size_cpu = mask.numel();
|
|
}
|
|
DDim out_dim{out_size_cpu};
|
|
out->Resize(out_dim);
|
|
auto out_data = reinterpret_cast<XPUType*>(dev_ctx.template Alloc<T>(out));
|
|
|
|
auto input_shape = vectorize<int64_t>(input_dim);
|
|
auto mask_shape = vectorize<int64_t>(mask_dim);
|
|
if (input_dim.size() == 0) {
|
|
input_shape = std::vector<int64_t>({1});
|
|
}
|
|
if (mask_dim.size() == 0) {
|
|
mask_shape = std::vector<int64_t>({1});
|
|
}
|
|
|
|
if (out_size_cpu > 0) {
|
|
PADDLE_ENFORCE_XDNN_SUCCESS(xpu::masked_select(dev_ctx.x_context(),
|
|
input_data,
|
|
mask_data,
|
|
out_data,
|
|
input_shape,
|
|
mask_shape,
|
|
out_size_cpu),
|
|
"masked_select");
|
|
}
|
|
}
|
|
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(masked_select,
|
|
XPU,
|
|
ALL_LAYOUT,
|
|
phi::MaskedSelectKernel,
|
|
float,
|
|
phi::float16,
|
|
phi::bfloat16,
|
|
int,
|
|
int64_t) {
|
|
kernel->InputAt(1).SetDataType(phi::DataType::BOOL);
|
|
}
|