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178 lines
6.6 KiB
178 lines
6.6 KiB
// Copyright 2015 The Gemmlowp 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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// block_params.h: Logic to choose L1 and L2 block sizes
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// to optimize cache-friendliness.
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#ifndef GEMMLOWP_INTERNAL_BLOCK_PARAMS_H_
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#define GEMMLOWP_INTERNAL_BLOCK_PARAMS_H_
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#include "common.h"
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namespace gemmlowp {
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// A BlockParams instance contains a full description of all the block size
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// parameters to be used by a Gemm.
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// There are two nested levels of block subdivisions: first a subdivision
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// into large blocks that should fit in last-level cache (what we call L2 here)
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// and then another subdivision into smaller blocks that should fit in
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// L1 cache. There is then actually a third level of subdivision to fit
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// in registers, but we are not concerned with that here.
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struct BlockParams {
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// L1 block parameters determine the size of small blocks that should
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// fit in L1 cache.
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int l1_rows;
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int l1_cols;
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int l1_depth;
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// L2 block parameters determine the size of larger blocks that should
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// fit in L2 cache.
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int l2_rows;
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int l2_cols;
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int l2_depth;
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template <typename KernelFormat>
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void Init(int rows, int cols, int depth, int num_threads, int l1_bytes_to_use,
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int l2_bytes_to_use, float l2_rhs_factor) {
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FindL2BlockSizes<KernelFormat>(rows, cols, depth, num_threads,
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l2_bytes_to_use, l2_rhs_factor, &l2_rows,
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&l2_cols, &l2_depth);
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FindL1BlockSizes<KernelFormat>(l2_rows, l2_cols, l2_depth, l1_bytes_to_use,
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&l1_rows, &l1_cols, &l1_depth);
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}
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template <typename KernelFormat>
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static void FindL2BlockSizes(int rows, int cols, int depth, int num_threads,
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int l2_bytes_to_use, float l2_rhs_factor,
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int* out_l2_rows, int* out_l2_cols,
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int* out_l2_depth) {
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int l2_rows = 0;
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int l2_cols = 0;
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int l2_depth = 0;
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int per_thread_rows =
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std::max(1, RoundUp<KernelFormat::kRows>(rows) / num_threads);
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// No L2 blocking in the depth dimension at the moment.
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// Too much loss of accuracy due to storing intermediate results in
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// low precision.
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// However, we still want to round l2_depth up to the next multiple
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// of register size, so as to avoid having to special-case unaligned depths.
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l2_depth = RoundUp<kRegisterSize>(depth);
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{
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int max_cache_friendly_l2_cols = std::max(
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1, static_cast<int>(l2_rhs_factor * (l2_bytes_to_use / l2_depth)));
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int min_l2_cols_blocks =
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std::max(1, CeilQuotient(cols, max_cache_friendly_l2_cols));
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l2_cols =
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RoundUp<KernelFormat::kCols>(CeilQuotient(cols, min_l2_cols_blocks));
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}
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// No L2 blocking in the row dimension if l2_rhs_factor is 1.0 as the row
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// dimension concerns only the LHS. Blocking only RHS matrix for L2 enhances
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// the performance on x86.
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if (l2_rhs_factor == 1.0f) {
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l2_rows = RoundUp<KernelFormat::kRows>(per_thread_rows);
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} else {
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int max_cache_friendly_l2_rows =
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std::max(1, (l2_bytes_to_use - l2_depth * l2_cols) /
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(num_threads * (l2_depth + 4 * l2_cols)));
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int min_l2_rows_blocks = std::max(
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1, CeilQuotient(per_thread_rows, max_cache_friendly_l2_rows));
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l2_rows = RoundUp<KernelFormat::kRows>(
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CeilQuotient(per_thread_rows, min_l2_rows_blocks));
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}
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*out_l2_rows = l2_rows;
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*out_l2_cols = l2_cols;
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*out_l2_depth = l2_depth;
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}
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template <typename KernelFormat>
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static void FindL1BlockSizes(int rows, int cols, int depth,
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int l1_bytes_to_use, int* out_l1_rows,
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int* out_l1_cols, int* out_l1_depth) {
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int l1_rows = 0;
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int l1_cols = 0;
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int l1_depth = 0;
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// L2 block sizes should already be multiples of kernel block sizes.
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assert(rows % KernelFormat::kRows == 0);
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assert(cols % KernelFormat::kCols == 0);
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assert(depth % KernelFormat::kDepth == 0);
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// No L1 blocking in the columns dimension at the moment.
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// Thought not to be needed. Similar to Eigen.
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l1_cols = cols;
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{
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int max_cache_friendly_l1_depth = std::max(
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1, (l1_bytes_to_use - 4 * KernelFormat::kRows * KernelFormat::kCols) /
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(KernelFormat::kRows + KernelFormat::kCols));
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int min_l1_depth_blocks =
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std::max(1, CeilQuotient(depth, max_cache_friendly_l1_depth));
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l1_depth =
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RoundUp<kRegisterSize>(CeilQuotient(depth, min_l1_depth_blocks));
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}
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{
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int max_cache_friendly_l1_rows =
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std::max(1, l1_bytes_to_use / (l1_depth + 4 * l1_cols));
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int min_l1_rows_blocks =
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std::max(1, CeilQuotient(rows, max_cache_friendly_l1_rows));
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l1_rows =
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RoundUp<KernelFormat::kRows>(CeilQuotient(rows, min_l1_rows_blocks));
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}
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*out_l1_rows = l1_rows;
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*out_l1_cols = l1_cols;
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*out_l1_depth = l1_depth;
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}
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};
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// A SideBlockParams instance contains only the block params relevant to
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// one side (LHS or RHS), expressed in terms of 'width' instead of
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// rows/colums. See the explanation in kernel.h: in the LHS, 'width' means
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// the number of rows, while in the RHS, 'width' means the number of columns.
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// That allows us to write generic code that applies to either LHS or RHS.
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struct SideBlockParams {
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// L1 block parameters determine the size of small blocks that should
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// fit in L1 cache.
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int l1_width;
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int l1_depth;
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// L2 block parameters determine the size of larger blocks that should
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// fit in L2 cache.
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int l2_width;
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int l2_depth;
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};
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enum class Side { Lhs, Rhs };
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inline void GetSideBlockParams(Side side, SideBlockParams* side_block_params,
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const BlockParams& block_params) {
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side_block_params->l1_width =
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side == Side::Lhs ? block_params.l1_rows : block_params.l1_cols;
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side_block_params->l2_width =
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side == Side::Lhs ? block_params.l2_rows : block_params.l2_cols;
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side_block_params->l1_depth = block_params.l1_depth;
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side_block_params->l2_depth = block_params.l2_depth;
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}
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} // namespace gemmlowp
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#endif // GEMMLOWP_INTERNAL_BLOCK_PARAMS_H_
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