src/common/cuda/utils.cc - master - githubmirror/incubator-mxnet

src/common/cuda/utils.cc
71 строка2 KB
Zhenghui Jin
[v2.0][LICENSE] Port #20493 (#20608)
28 сен 2021, 03:10
28 сен 2021, 03:10a720b15
/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you 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.
 */

/*!
 * \file cuda_utils.cc
 * \brief Common CUDA utilities.
 */

#include <mxnet/base.h>
#include <mshadow/base.h>

#include <algorithm>

#include "utils.h"
#include "../utils.h"

#if MXNET_USE_CUDA

namespace mxnet {
namespace common {
namespace cuda {

int get_load_type(size_t N) {
  using namespace mshadow;
  if (N % 8 == 0) {
    return kFloat64;
  } else if (N % 4 == 0) {
    return kFloat32;
  } else if (N % 2 == 0) {
    return kFloat16;
  } else {
    return kUint8;
  }
}

int get_rows_per_block(size_t row_size, int num_threads_per_block) {
  const int warp_size = 32;
  CHECK(IsPower2(num_threads_per_block))
      << "Number of threads in a block must be power of 2 to use get_rows_per_block function";
  // How many read instructions should 1 thread at least do
  const int read_instructions           = 2;
  const int desired_num_threads_per_row = (row_size + read_instructions - 1) / read_instructions;
  int desired_num_warps_per_row         = (desired_num_threads_per_row + warp_size - 1) / warp_size;
  int actual_num_warps_per_row =
      std::min(desired_num_warps_per_row, num_threads_per_block / warp_size);
  // actual number of warps needs to be power of 2
  actual_num_warps_per_row = RoundToPower2(actual_num_warps_per_row);
  return num_threads_per_block / (warp_size * actual_num_warps_per_row);
}

}  // namespace cuda
}  // namespace common
}  // namespace mxnet

#endif  // MXNET_USE_CUDA