src/core/NEON/kernels/arm_gemm/interleave_indirect.cpp

/*
 * Copyright (c) 2020-2022 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

#include "asmlib.hpp"
#include "convolution_parameters.hpp"
#include "convolver.hpp"
#include "interleave_indirect.hpp"
#include "bfloat.hpp"

#if !defined(_WIN64) && !defined(__OpenBSD__)
#include <alloca.h>
#endif /* !defined(_WIN64) && !defined(__OpenBSD__) */

#include <algorithm>
#include <cstddef>
#include <cstdint>
#include <cstdio>
#include <cstring>
#include <tuple>
#include <type_traits>
#include <vector>

#include <arm_neon.h>

#include "utils.hpp"

namespace arm_gemm {

/*
 * Core function that does heavy lifting - interleave 'int_by' rows of width 'width' together.
 *
 * 'height' indicates the actual number of rows to interleave, so if it's less than int_by then the remaining
 * entries are padded (note that this is "GEMM" padding rather than convolution padding, so there is no need to pad
 * with a particular value.
 *
 * Note that it is not expected for this templated version to ever be used - all cases that matter should be
 * explicitly specialized with an optimized implementation.
 */
template<unsigned int height_vectors, unsigned int block, VLType vlt, bool integrate_sums, typename TIn, typename TOut>
void interleave_block( TOut * &out, const TIn * const *in, size_t width, size_t height, size_t row_offset, bool first) {
    const unsigned int int_by = height_vectors * (vlt == VLType::SVE ? get_vector_length<TOut>() / block : 1);

    std::vector<int32_t> the_sums;

    if (integrate_sums) {
        the_sums = std::vector<int32_t>(int_by, 0);

        if (!first) {
            // In 'integrate sums' mode, we dump the sums at the end on each pass.

            // On the last pass this is correct, but on other passes it is not -
            // so on the subsequent pass we need to take the output written by
            // the previous pass as starting point for the sums, and then
            // overwrite them with new interleaved data.
            int32_t *out_int32 = reinterpret_cast<int32_t *>(out);

            // Rewind pointer to where we wrote out the sums last time.
            out_int32 -= int_by;

            // Restore the running sums.
            memcpy(the_sums.data(), out_int32, int_by * sizeof(int32_t));

            // Update the "real" pointer so that the next output will clobber the old sums.
            out = reinterpret_cast<TOut *>(out_int32);
        }
    }

    for (unsigned int pos=0; pos<width; pos+=block) {
        for (unsigned int row=0; row<int_by; row++) {
            // Row out of range - pad 'block' entries.
            if (row >= height) {
                for (unsigned int col=0; col<block; col++) {
                    *out++ = 0;
                }
                continue;
            }

            for (unsigned int col=0; col<block; col++) {
                // Column out of range - pad a single entry
                if (pos + col >= width) {
                    *out++ = 0;
                    continue;
                }

                if (integrate_sums) {
                    the_sums[row] += in[row][row_offset + pos + col];
                }

                *out++ = in[row][row_offset + pos + col];
            }
        }
    }

    if (integrate_sums) {
        int32_t *out_int32 = reinterpret_cast<int32_t *>(out);

        memcpy(out_int32, the_sums.data(), int_by * sizeof(int32_t));

        out = reinterpret_cast<TOut *>(out_int32 + int_by);
    }
}

template<unsigned int height_vectors, unsigned int block, VLType vlt, typename TOut>
inline void FixupRowSums(TOut * &out, const int32_t row_sum_multiplier) {
    const unsigned int height = height_vectors * (vlt == VLType::SVE ? get_vector_length<TOut>() / block : 1);

    // If we are integrating row sums, we need to do some fix up, depending on whether the multiplier is non-zero or not.
    if (row_sum_multiplier) {
        // Non-zero: interleave_block<>() will have done the sums, so 'out' will point to the start of the
        // next block (post sums).
        // We need to go back and apply the multiplier to the computed sums.  We don't need to change 'out'.
        int32_t *out_int32 = reinterpret_cast<int32_t *>(out);

        out_int32 -= height;
        for (unsigned int i=0; i<height; i++) {
            out_int32[i] *= row_sum_multiplier;
        }
    } else {
        // Zero: interleave_block<>() will *not* have done the sums, so 'out' will point to the start of the
        // sum block.  We need to insert the (zero) sums, and advance 'out'.
        int32_t *out_int32 = reinterpret_cast<int32_t *>(out);

        for (unsigned int i=0; i<height; i++) {
            out_int32[i] = 0;
        }

        out_int32 += height;

        out = reinterpret_cast<TOut *>(out_int32);
    }
}

template<unsigned int height_vectors, unsigned int block, VLType vlt, typename TIn, typename TOut>
void IndirectInterleave(TOut *out, const TIn * const * const *ptr, unsigned int stringlen,
                        unsigned int rounded_stringlen, const unsigned int y0, const unsigned int ymax,
                        const unsigned int k0, const unsigned int kmax, bool integrate_sums,
                        const int32_t row_sum_multiplier) {
    const unsigned int height = height_vectors * (vlt == VLType::SVE ? get_vector_length<TOut>() / block : 1);

    // 'interleave_block' implementations are entitled to read a pointer for each row they handle from the input
    // pointer array, even for out of range rows (although they must not subsequently dereference those pointers for
    // out of range rows).  This allows interleave_block to use techniques like row predication, or loading all
    // pointers and conditionally overriding the out of range ones.

    // This is problematic in the "pure" indirect case when we get to the last rows, where it can lead to out of
    // range reads.  Avoid this with a local buffer to use in last-rows cases.  Use alloca as a std::vector can be
    // expensive in highly threaded scenarios.
    const TIn **row_ptrs = reinterpret_cast<const TIn **>(alloca(height * sizeof(const TIn *)));

    // Figure out the starting position based on k0 (with rounded length)
    unsigned int start_string      = k0 / rounded_stringlen;
    unsigned int start_stringpos   = k0 % rounded_stringlen;

    // Process blocks of 'height' height...
    for (unsigned int ybase = y0; ybase < ymax; ybase+=height) {
        // Height to process
        unsigned int active_height = std::min(ymax - ybase, height);

        // Track our progress through the various strings
        unsigned int k_left    = (kmax - k0);
        unsigned int string    = start_string;
        unsigned int stringpos = start_stringpos;

        bool first = true;

        // Prepare to call 'interleave_block' above for each string encompassed by K range
        while (k_left > 0) {
            // Width to process - and the width we will generate (with padding)
            unsigned int in_width   = std::min(k_left, stringlen - stringpos);
            unsigned int out_width  = std::min(k_left, rounded_stringlen - stringpos);

            const TIn * const *row_base = ptr[string] + ybase;

            // If not all rows are valid, copy the ones that are into local array (see above comment).
            if (active_height < height) {
                for (unsigned int i=0; i<active_height; i++) {
                    row_ptrs[i] = ptr[string][ybase + i];
                }

                row_base = row_ptrs;
            }

            // 'integrate_sums' is a function parameter rather than a template parameter to prevent duplicating too
            // much code.  However, integrated sums make no sense for non-integral types and won't ever be
            // requested.  So put a type trait check here to avoid generating pointless code.
            if (std::is_integral<TOut>::value && integrate_sums && row_sum_multiplier) {
                interleave_block<height_vectors, block, vlt, true>(out, row_base, in_width, active_height, stringpos, first);
            } else {
                interleave_block<height_vectors, block, vlt, false>(out, row_base, in_width, active_height, stringpos, first);
            }

            k_left -= out_width;
            string++;
            stringpos=0;
            first=false;
        }

        if (std::is_integral<TOut>::value && integrate_sums) {
            FixupRowSums<height_vectors, block, vlt>(out, row_sum_multiplier);
        }
    }
}

template<unsigned int height_vectors, unsigned int block, VLType vlt, typename TIn, typename TOut>
void ConvolutionInterleave(TOut *out, const TIn *in, size_t in_stride, const convolver<TIn> &conv, const unsigned int rounded_stringlen,
        const unsigned int y0, const unsigned int ymax, const unsigned int k0, const unsigned int kmax, bool integrate_sums, const int32_t row_sum_multiplier) {
    const unsigned int height = height_vectors * (vlt == VLType::SVE ? get_vector_length<TOut>() / block : 1);

    auto conv_cols = conv.process_columns(in, in_stride, k0, kmax, rounded_stringlen);

    // Use alloca here as a std::vector can be expensive in highly threaded scenarios.
    const TIn **row_ptrs = reinterpret_cast<const TIn **>(alloca(height * sizeof(const TIn *)));

    for (unsigned int ybase = y0; ybase < ymax; ybase += height) {
        // How many of the rows are active - the rest will get padded in interleave_block.
        unsigned int active_height   = std::min(ymax - ybase, height);
        bool first = true;

        auto conv_rows = conv_cols.process_rows(ybase, active_height);

        while (!conv_rows.finished()) {
            unsigned int width, offset;

            // Get next set of parameters
            std::tie(width, offset) = conv_rows.next_block(row_ptrs);

            // Perform the interleave
            if (std::is_integral<TOut>::value && integrate_sums && row_sum_multiplier) {
                interleave_block<height_vectors, block, vlt, true>(out, row_ptrs, width, active_height, offset, first);
            } else {
                interleave_block<height_vectors, block, vlt, false>(out, row_ptrs, width, active_height, offset, first);
            }

            first=false;
        }

        if (std::is_integral<TOut>::value && integrate_sums) {
            FixupRowSums<height_vectors, block, vlt>(out, row_sum_multiplier);
        }
    }
}

template<unsigned int height_vectors, unsigned int block, VLType vlt, typename TIn, typename TOut>
void Interleave(TOut *out, const TIn *in, size_t in_stride, const unsigned int y0, const unsigned int ymax, const unsigned int k0, const unsigned int kmax, bool integrate_sums, const int32_t row_sum_multiplier) {
    const unsigned int height = height_vectors * (vlt == VLType::SVE ? get_vector_length<TOut>() / block : 1);

    // Use alloca here as a std::vector can be expensive in highly threaded scenarios.
    const TIn **row_ptrs = reinterpret_cast<const TIn **>(alloca(height * sizeof(const TIn *)));

    const unsigned int width=kmax-k0;

    for (unsigned int y=y0; y<ymax; y+=height) {
        for (unsigned int r=0; r<height; r++) {
            row_ptrs[r] = in + ((y + r) * in_stride);
        }

        if (std::is_integral<TOut>::value && integrate_sums && row_sum_multiplier) {
            interleave_block<height_vectors, block, vlt, true>(out, row_ptrs, width, std::min(height, ymax-y), k0, true);
        } else {
            interleave_block<height_vectors, block, vlt, false>(out, row_ptrs, width, std::min(height, ymax-y), k0, true);
        }

        if (std::is_integral<TOut>::value && integrate_sums) {
            FixupRowSums<height_vectors, block, vlt>(out, row_sum_multiplier);
        }
    }
}

#include "indirect-interleaves/list.hpp"

/**** Instantiate needed implementations ****/

/* AArch32 */
#ifdef __arm__
/* FP32 */
/* Arm® Neon™ implementation (height 6) */
template void IndirectInterleave<6, 1, VLType::None>(float *, const float * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<6, 1, VLType::None>(float *, const float *, size_t, const convolver<float> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<6, 1, VLType::None>(float *, const float *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* FP16 */
#if __ARM_FP16_ARGS
/* Arm® Neon™ implementation using FP32 kernel (height 6) */
template void IndirectInterleave<6, 1, VLType::None>(float *, const __fp16 * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<6, 1, VLType::None>(float *, const __fp16 *, size_t, const convolver<__fp16> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<6, 1, VLType::None>(float *, const __fp16 *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
#endif /* __ARM_FP16_ARGS */

/* BF16 */
/* Arm® Neon™ implementation using FP32 kernel */
template void IndirectInterleave<6, 1, VLType::None>(float *, const bfloat16 * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<6, 1, VLType::None>(float *, const bfloat16 *, size_t, const convolver<bfloat16> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<6, 1, VLType::None>(float *, const bfloat16 *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
#endif

/* AArch64 */
#ifdef __aarch64__
/* FP32 */
/* Arm® Neon™/SVE implementation (height 8) */
template void IndirectInterleave<8, 1, VLType::None>(float *, const float * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(float *, const float *, size_t, const convolver<float> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(float *, const float *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

#if defined(ARM_COMPUTE_ENABLE_SVE) && defined(ARM_COMPUTE_ENABLE_SVEF32MM)
/* FMMLA */
template void IndirectInterleave<8, 2, VLType::None>(float *, const float * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 2, VLType::None>(float *, const float *, size_t, const convolver<float> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 2, VLType::None>(float *, const float *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
#endif // ARM_COMPUTE_ENABLE_SVE && ARM_COMPUTE_ENABLE_SVEF32MM

/* FP16 */
#if defined(FP16_KERNELS) || defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
template void IndirectInterleave<8, 1, VLType::None>(__fp16 *, const __fp16 * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(__fp16 *, const __fp16 *, size_t, const convolver<__fp16> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(__fp16 *, const __fp16 *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
#endif // FP16_KERNELS ar __ARM_FEATURE_FP16_VECTOR_ARITHMETIC

template void IndirectInterleave<8, 1, VLType::None>(float *, const __fp16 * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(float *, const __fp16 *, size_t, const convolver<__fp16> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(float *, const __fp16 *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* BF16 */
/* Arm® Neon™/SVE BFDOT */
#ifdef ARM_COMPUTE_ENABLE_BF16
template void IndirectInterleave<8, 2, VLType::None>(bfloat16 *, const bfloat16 * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 2, VLType::None>(bfloat16 *, const bfloat16 *, size_t, const convolver<bfloat16> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 2, VLType::None>(bfloat16 *, const bfloat16 *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

template void IndirectInterleave<8, 4, VLType::None>(bfloat16 *, const bfloat16 * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 4, VLType::None>(bfloat16 *, const bfloat16 *, size_t, const convolver<bfloat16> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 4, VLType::None>(bfloat16 *, const bfloat16 *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

template void IndirectInterleave<8, 4, VLType::None>(bfloat16 *, const float * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 4, VLType::None>(bfloat16 *, const float *, size_t, const convolver<float> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 4, VLType::None>(bfloat16 *, const float *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
#endif // ARM_COMPUTE_ENABLE_BF16

/* Arm® Neon™/SVE using FP32 kernel */
template void IndirectInterleave<8, 1, VLType::None>(float *, const bfloat16 * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(float *, const bfloat16 *, size_t, const convolver<bfloat16> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(float *, const bfloat16 *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* INT16 */
template void IndirectInterleave<8, 1, VLType::None>(int16_t *, const int16_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(int16_t *, const int16_t *, size_t, const convolver<int16_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(int16_t *, const int16_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

template void IndirectInterleave<8, 1, VLType::None>(uint16_t *, const uint16_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(uint16_t *, const uint16_t *, size_t, const convolver<uint16_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(uint16_t *, const uint16_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* INT8 */
/* Arm® Neon™ SMLA/SMLAL (height 4, block 16) */
template void IndirectInterleave<4, 16, VLType::None>(int8_t *, const int8_t * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<4, 16, VLType::None>(int8_t *, const int8_t *, size_t, const convolver<int8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<4, 16, VLType::None>(int8_t *, const int8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* Arm® Neon™ SDOT (height 8, block 4) */
template void IndirectInterleave<8, 4, VLType::None>(int8_t *, const int8_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 4, VLType::None>(int8_t *, const int8_t *, size_t, const convolver<int8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 4, VLType::None>(int8_t *, const int8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* MMLA SMMLA (height 8, block 8) */
template void IndirectInterleave<8, 8, VLType::None>(int8_t *, const int8_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 8, VLType::None>(int8_t *, const int8_t *, size_t, const convolver<int8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 8, VLType::None>(int8_t *, const int8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* Arm® Neon™ SDOT (height 8, block 1) */
template void IndirectInterleave<8, 1, VLType::None>(int16_t *, const int8_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(int16_t *, const int8_t *, size_t, const convolver<int8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(int16_t *, const int8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* Arm® Neon™ SMLA/SMLAL (height 4, block 16) */
template void IndirectInterleave<4, 16, VLType::None>(uint8_t *, const uint8_t * const * const *, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void ConvolutionInterleave<4, 16, VLType::None>(uint8_t *, const uint8_t *, size_t, const convolver<uint8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<4, 16, VLType::None>(uint8_t *, const uint8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* Arm® Neon™ SDOT (height 8, block 4) */
template void IndirectInterleave<8, 4, VLType::None>(uint8_t *, const uint8_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 4, VLType::None>(uint8_t *, const uint8_t *, size_t, const convolver<uint8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 4, VLType::None>(uint8_t *, const uint8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* MMLA SMMLA (height 8, block 8) */
template void IndirectInterleave<8, 8, VLType::None>(uint8_t *, const uint8_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 8, VLType::None>(uint8_t *, const uint8_t *, size_t, const convolver<uint8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 8, VLType::None>(uint8_t *, const uint8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);

/* Arm® Neon™ 16-bit (height 8, block 1) */
template void IndirectInterleave<8, 1, VLType::None>(uint16_t *, const uint8_t * const * const *, unsigned int, unsigned int, unsigned int y0, unsigned int ymax, unsigned int k0, unsigned int kmax, bool, int32_t);
template void ConvolutionInterleave<8, 1, VLType::None>(uint16_t *, const uint8_t *, size_t, const convolver<uint8_t> &, unsigned int, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
template void Interleave<8, 1, VLType::None>(uint16_t *, const uint8_t *, size_t, unsigned int, unsigned int, unsigned int, unsigned int, bool, int32_t);
#endif // __aarch64__

} // namespace arm_gemm