convolution-nhwc.c | Explore in Territory

// Copyright (c) Facebook, Inc. and its affiliates.
// All rights reserved.
//
// Copyright 2019 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.

#include <assert.h>
#include <inttypes.h>
#include <math.h>
#include <stddef.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>

#include <fp16/fp16.h>
#include "xnnpack.h"
#include "xnnpack/allocator.h"
#include "xnnpack/cache.h"
#include "xnnpack/common.h"
#include "xnnpack/compute.h"
#include "xnnpack/config-types.h"
#include "xnnpack/config.h"
#include "xnnpack/indirection.h"
#include "xnnpack/log.h"
#include "xnnpack/math.h"
#include "xnnpack/microfnptr.h"
#include "xnnpack/microkernel-type.h"
#include "xnnpack/microkernel-utils.h"
#include "xnnpack/microparams-init.h"
#include "xnnpack/microparams.h"
#include "xnnpack/operator-type.h"
#include "xnnpack/operator-utils.h"
#include "xnnpack/operator.h"
#include "xnnpack/pack.h"
#include "xnnpack/params.h"
#include "xnnpack/post-operation.h"
#include "pthreadpool.h"

#ifndef XNN_ENABLE_GEMM_M_SPECIALIZATION
#error "XNN_ENABLE_GEMM_M_SPECIALIZATION is not defined"
#endif

static inline size_t compute_output_dimension_with_tf_same_padding(
    size_t input_dimension,
    size_t subsampling_dimension)
{ … }

static inline const struct xnn_dwconv_config* find_dwconv_ukernel(
    size_t kernel_size,
    const struct xnn_dwconv_config* ukernel,
    size_t num_ukernels)
{ … }

static enum xnn_status create_vmulcaddc_path(
    uint32_t groups,
    const void* kernel,
    const void* bias,
    uint32_t log2_filter_element_size,
    uint32_t bias_element_size,
    xnn_pack_vmulcaddc_w_fn pack_vmulcaddc_w,
    const void* packing_params,
    int packed_weights_padding_byte,
    const void* vmulcaddc_params,
    size_t vmulcaddc_params_size,
    const struct xnn_vmulcaddc_config* vmulcaddc_config,
    enum xnn_operator_type operator_type,
    xnn_operator_t convolution_op)
{ … }

static enum xnn_status create_dwconv_path(
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t groups,
    const void* kernel,
    const void* bias,
    uint32_t flags,
    uint32_t log2_input_element_size,
    uint32_t log2_filter_element_size,
    uint32_t bias_element_size,
    xnn_pack_dwconv_hwg_w_fn pack_dwconv_hwg_w,
    xnn_pack_dwconv_ghw_w_fn pack_dwconv_ghw_w,
    const void* packing_params,
    int packed_weights_padding_byte,
    size_t extra_weights_bytes,
    xnn_init_qs8_qc8w_scale_params_fn init_scale_params,
    const float* scale_params,
    const void* dwconv_params,
    size_t dwconv_params_size,
    const struct xnn_dwconv_config* dwconv_ukernel,
    bool linear_activation,
    enum xnn_operator_type operator_type,
    size_t* zero_size,
    xnn_operator_t convolution_op)
{ … }

static enum xnn_status create_gemm_or_igemm(
    enum xnn_microkernel_type ukernel_type,
    uint32_t kernel_size,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    const void* kernel,
    const void* bias,
    uint32_t flags,
    uint32_t log2_input_element_size,
    uint32_t log2_filter_element_size,
    uint32_t bias_element_size,
    xnn_packw_gemm_goi_ukernel_fn pack_gemm_goi_w,
    xnn_pack_conv_kgo_w_fn pack_conv_kgo_w,
    xnn_pack_conv_goki_w_fn pack_conv_goki_w,
    const void* packing_params,
    int packed_weights_padding_byte,
    size_t extra_weights_bytes,
    xnn_init_qs8_qc8w_scale_params_fn init_scale_params,
    const float* scale_params,
    xnn_init_qs8_qc8w_scale_params_fn init_kernel_scale_params,
    const float* kernel_scale_params,
    const void* gemm_params,
    size_t gemm_params_size,
    const struct xnn_gemm_config* gemm_config,
    const struct jit_gemm_params* jit_gemm_params,
    bool linear_activation,
    bool relu_activation,
    enum xnn_operator_type operator_type,
    size_t num_post_operations,
    void* post_operation_params,
    xnn_operator_t convolution_op,
    size_t* zero_size)
{ … }

static enum xnn_status create_convolution2d_nhwc(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    const void* kernel,
    const void* bias,
    uint32_t flags,
    uint32_t log2_input_element_size,
    uint32_t log2_filter_element_size,
    uint32_t bias_element_size,
    xnn_pack_vmulcaddc_w_fn pack_vmulcaddc_w,
    xnn_pack_dwconv_hwg_w_fn pack_dwconv_hwg_w,
    xnn_pack_dwconv_ghw_w_fn pack_dwconv_ghw_w,
    xnn_packw_gemm_goi_ukernel_fn pack_gemm_goi_w,
    xnn_pack_conv_kgo_w_fn pack_conv_kgo_w,
    xnn_pack_conv_goki_w_fn pack_conv_goki_w,
    const void* packing_params,
    int input_padding_byte,
    int packed_weights_padding_byte,
    size_t extra_weights_bytes,
    xnn_init_qs8_qc8w_scale_params_fn init_scale_params,
    const float* scale_params,
    xnn_init_qs8_qc8w_scale_params_fn init_kernel_scale_params,
    const float* kernel_scale_params,
    const void* gemm_params,
    size_t gemm_params_size,
    const void* dwconv_params,
    size_t dwconv_params_size,
    const void* vmulcaddc_params,
    size_t vmulcaddc_params_size,
    const struct xnn_gemm_config* gemm_config,
    const struct xnn_dwconv_config* dwconv_ukernel,
    const struct xnn_vmulcaddc_config* vmulcaddc_config,
    struct jit_gemm_params* jit_gemm_params,
    bool linear_activation,
    bool relu_activation,
    enum xnn_operator_type operator_type,
    size_t num_post_operations,
    void* post_operation_params,
    bool dynamic_quantization,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_convolution2d_nhwc_qd8_f16_qc8w(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    const float* kernel_scale,
    const int8_t* kernel,
    const float* bias,
    float output_min,
    float output_max,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_convolution2d_nhwc_qd8_f32_qc8w(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    const float* kernel_scale,
    const int8_t* kernel,
    const float* bias,
    float output_min,
    float output_max,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_convolution2d_nhwc_qu8(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    uint8_t input_zero_point,
    float input_scale,
    uint8_t kernel_zero_point,
    float kernel_scale,
    const uint8_t* kernel,
    const int32_t* bias,
    uint8_t output_zero_point,
    float output_scale,
    uint8_t output_min,
    uint8_t output_max,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_convolution2d_nhwc_qs8(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    int8_t input_zero_point,
    float input_scale,
    float kernel_scale,
    const int8_t* kernel,
    const int32_t* bias,
    int8_t output_zero_point,
    float output_scale,
    int8_t output_min,
    int8_t output_max,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_convolution2d_nhwc_qs8_qc8w(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    int8_t input_zero_point,
    float input_scale,
    const float* kernel_scale,
    const int8_t* kernel,
    const int32_t* bias,
    int8_t output_zero_point,
    float output_scale,
    int8_t output_min,
    int8_t output_max,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_convolution2d_nhwc_f16(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    const void* kernel,
    const void* bias,
    float output_min,
    float output_max,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_convolution2d_nhwc_f32(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    const float* kernel,
    const float* bias,
    float output_min,
    float output_max,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

enum xnn_status xnn_create_fused_convolution2d_nhwc_f32(
    uint32_t input_padding_top,
    uint32_t input_padding_right,
    uint32_t input_padding_bottom,
    uint32_t input_padding_left,
    uint32_t kernel_height,
    uint32_t kernel_width,
    uint32_t subsampling_height,
    uint32_t subsampling_width,
    uint32_t dilation_height,
    uint32_t dilation_width,
    uint32_t groups,
    size_t group_input_channels,
    size_t group_output_channels,
    size_t input_channel_stride,
    size_t output_channel_stride,
    const float* kernel,
    const float* bias,
    size_t num_post_operations,
    struct xnn_post_operation* post_operations,
    uint32_t flags,
    xnn_code_cache_t code_cache,
    xnn_weights_cache_t weights_cache,
    xnn_operator_t* convolution_op_out)
{ … }

static inline bool input_size_changed(xnn_operator_t convolution_op)
{ … }

static enum xnn_status reshape_gemm(
    xnn_operator_t convolution_op,
    uint32_t log2_input_element_size,
    uint32_t log2_filter_element_size,
    uint32_t extra_weights_elements_size,
    uint32_t log2_output_element_size,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t num_threads)
{ … }

static enum xnn_status reshape_igemm(
    xnn_operator_t convolution_op,
    uint32_t log2_input_element_size,
    uint32_t log2_filter_element_size,
    uint32_t extra_weights_elements_size,
    uint32_t log2_output_element_size,
    bool dynamic_quantization,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t num_threads)
{ … }

static enum xnn_status reshape_dwconv(
    xnn_operator_t convolution_op,
    uint32_t log2_input_element_size,
    uint32_t log2_accumulator_element_size,
    uint32_t log2_output_element_size,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t num_threads)
{ … }

static enum xnn_status reshape_vmulcaddc(
  xnn_operator_t convolution_op,
  uint32_t log2_input_element_size,
  uint32_t log2_output_element_size,
  size_t* workspace_size,
  size_t* workspace_alignment,
  size_t num_threads)
{ … }

static enum xnn_status reshape_convolution2d_nhwc(
  xnn_operator_t convolution_op,
  enum xnn_operator_type expected_operator_type,
  size_t batch_size,
  size_t input_height,
  size_t input_width,
  uint32_t log2_input_element_size,
  uint32_t log2_filter_element_size,
  uint32_t log2_accumulator_element_size,
  uint32_t extra_weights_elements_size,
  uint32_t log2_output_element_size,
  bool dynamic_quantization,
  size_t* workspace_size,
  size_t* workspace_alignment,
  size_t* output_height_out,
  size_t* output_width_out,
  pthreadpool_t threadpool)
{ … }

enum xnn_status xnn_reshape_convolution2d_nhwc_qd8_f16_qc8w(
    xnn_operator_t convolution_op,
    size_t batch_size,
    size_t input_height,
    size_t input_width,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t* output_height_out,
    size_t* output_width_out,
    pthreadpool_t threadpool)
{ … }

enum xnn_status xnn_reshape_convolution2d_nhwc_qd8_f32_qc8w(
    xnn_operator_t convolution_op,
    size_t batch_size,
    size_t input_height,
    size_t input_width,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t* output_height_out,
    size_t* output_width_out,
    pthreadpool_t threadpool)
{ … }

enum xnn_status xnn_reshape_convolution2d_nhwc_qu8(
    xnn_operator_t convolution_op,
    size_t batch_size,
    size_t input_height,
    size_t input_width,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t* output_height_out,
    size_t* output_width_out,
    pthreadpool_t threadpool)
{ … }

enum xnn_status xnn_reshape_convolution2d_nhwc_qs8(
    xnn_operator_t convolution_op,
    size_t batch_size,
    size_t input_height,
    size_t input_width,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t* output_height_out,
    size_t* output_width_out,
    pthreadpool_t threadpool)
{ … }

enum xnn_status xnn_reshape_convolution2d_nhwc_qs8_qc8w(
    xnn_operator_t convolution_op,
    size_t batch_size,
    size_t input_height,
    size_t input_width,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t* output_height_out,
    size_t* output_width_out,
    pthreadpool_t threadpool)
{ … }

enum xnn_status xnn_reshape_convolution2d_nhwc_f16(
    xnn_operator_t convolution_op,
    size_t batch_size,
    size_t input_height,
    size_t input_width,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t* output_height_out,
    size_t* output_width_out,
    pthreadpool_t threadpool)
{ … }

enum xnn_status xnn_reshape_convolution2d_nhwc_f32(
    xnn_operator_t convolution_op,
    size_t batch_size,
    size_t input_height,
    size_t input_width,
    size_t* workspace_size,
    size_t* workspace_alignment,
    size_t* output_height_out,
    size_t* output_width_out,
    pthreadpool_t threadpool)
{ … }

static enum xnn_status setup_gemm(xnn_operator_t convolution_op)
{ … }

static enum xnn_status setup_igemm(
    xnn_operator_t convolution_op,
    void* workspace,
    uint32_t log2_input_element_size)
{ … }

static enum xnn_status setup_dwconv(
    xnn_operator_t convolution_op,
    void* workspace,
    uint32_t log2_input_element_size)
{ … }

static enum xnn_status setup_vmulcaddc(xnn_operator_t convolution_op)
{ … }

static enum xnn_status setup_convolution2d_nhwc(
  xnn_operator_t convolution_op,
  enum xnn_operator_type expected_operator_type,
  void* workspace,
  const void* input,
  void* output,
  const void* quantization_params,
  uint32_t log2_input_element_size)
{ … }

enum xnn_status xnn_setup_convolution2d_nhwc_qd8_f16_qc8w(
    xnn_operator_t convolution_op,
    void* workspace,
    const int8_t* input,
    void* output,
    const struct xnn_dynamic_quantization_params* quantization_params)
{ … }

enum xnn_status xnn_setup_convolution2d_nhwc_qd8_f32_qc8w(
    xnn_operator_t convolution_op,
    void* workspace,
    const int8_t* input,
    float* output,
    const struct xnn_dynamic_quantization_params* quantization_params)
{ … }

enum xnn_status xnn_setup_convolution2d_nhwc_qu8(
    xnn_operator_t convolution_op,
    void* workspace,
    const uint8_t* input,
    uint8_t* output)
{ … }

enum xnn_status xnn_setup_convolution2d_nhwc_qs8(
    xnn_operator_t convolution_op,
    void* workspace,
    const int8_t* input,
    int8_t* output)
{ … }

enum xnn_status xnn_setup_convolution2d_nhwc_qs8_qc8w(
    xnn_operator_t convolution_op,
    void* workspace,
    const int8_t* input,
    int8_t* output)
{ … }

enum xnn_status xnn_setup_convolution2d_nhwc_f16(
    xnn_operator_t convolution_op,
    void* workspace,
    const void* input,
    void* output)
{ … }

enum xnn_status xnn_setup_convolution2d_nhwc_f32(
    xnn_operator_t convolution_op,
    void* workspace,
    const float* input,
    float* output)
{ … }
chromium/third_party/xnnpack/src/src/operators/convolution-nhwc.c
