Source file eigen_tensor_s.ml

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(*
 * Eigen - an OCaml interface to C++ Eigen library
 * Copyright (c) 2016-2017 Liang Wang <liang.wang@cl.cam.ac.uk>
 *)

open Eigen_types.TENSOR_S

let test x =
  let x_ptr = Ctypes.bigarray_start Ctypes_static.Genarray x in
  ml_eigen_tensor_test x_ptr


let spatial_conv
  input kernel output batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows out_channel
  row_stride col_stride padding row_in_stride col_in_stride
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_spatial_conv
    input_ptr kernel_ptr output_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows out_channel
    row_stride col_stride padding row_in_stride col_in_stride


let spatial_conv_backward_input
  input kernel output batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows out_channel
  row_stride col_stride row_in_stride col_in_stride
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_spatial_conv_backward_input
    input_ptr kernel_ptr output_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows out_channel
    row_stride col_stride row_in_stride col_in_stride


let spatial_conv_backward_kernel
  input kernel output batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows out_channel
  row_stride col_stride row_in_stride col_in_stride
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_spatial_conv_backward_kernel
    input_ptr kernel_ptr output_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows out_channel
    row_stride col_stride row_in_stride col_in_stride


let cuboid_conv
  input kernel output batches
  input_cols input_rows input_depth in_channel
  kernel_cols kernel_rows kernel_depth
  output_cols output_rows output_depth out_channel
  depth_stride row_stride col_stride padding
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_cuboid_conv
    input_ptr kernel_ptr output_ptr batches
    input_cols input_rows input_depth in_channel
    kernel_cols kernel_rows kernel_depth
    output_cols output_rows output_depth out_channel
    depth_stride row_stride col_stride padding


let cuboid_conv_backward_input
  input kernel output batches
  input_cols input_rows input_depth in_channel
  kernel_cols kernel_rows kernel_depth
  output_cols output_rows output_depth out_channel
  depth_stride row_stride col_stride
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_cuboid_conv_backward_input
    input_ptr kernel_ptr output_ptr batches
    input_cols input_rows input_depth in_channel
    kernel_cols kernel_rows kernel_depth
    output_cols output_rows output_depth out_channel
    depth_stride row_stride col_stride


let cuboid_conv_backward_kernel
  input kernel output batches
  input_cols input_rows input_depth in_channel
  kernel_cols kernel_rows kernel_depth
  output_cols output_rows output_depth out_channel
  depth_stride row_stride col_stride
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let kernel_ptr = Ctypes.bigarray_start Ctypes_static.Genarray kernel in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_cuboid_conv_backward_kernel
    input_ptr kernel_ptr output_ptr batches
    input_cols input_rows input_depth in_channel
    kernel_cols kernel_rows kernel_depth
    output_cols output_rows output_depth out_channel
    depth_stride row_stride col_stride


let spatial_max_pooling
  input output batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows
  row_stride col_stride padding row_in_stride col_in_stride
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_spatial_max_pooling
    input_ptr output_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows
    row_stride col_stride padding row_in_stride col_in_stride


let spatial_avg_pooling
  input output batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows
  row_stride col_stride padding row_in_stride col_in_stride
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_spatial_avg_pooling
    input_ptr output_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows
    row_stride col_stride padding row_in_stride col_in_stride


let cuboid_max_pooling
  input output batches input_cols input_rows input_depth in_channel
  kernel_cols kernel_rows kernel_depth
  output_cols output_rows output_depth
  depth_stride row_stride col_stride padding
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_cuboid_max_pooling
    input_ptr output_ptr
    batches input_cols input_rows input_depth in_channel
    kernel_cols kernel_rows kernel_depth
    output_cols output_rows output_depth
    depth_stride row_stride col_stride padding


let cuboid_avg_pooling
  input output batches input_cols input_rows input_depth in_channel
  kernel_cols kernel_rows kernel_depth
  output_cols output_rows output_depth
  depth_stride row_stride col_stride padding
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_cuboid_avg_pooling
    input_ptr output_ptr
    batches input_cols input_rows input_depth in_channel
    kernel_cols kernel_rows kernel_depth
    output_cols output_rows output_depth
    depth_stride row_stride col_stride padding


let spatial_max_pooling_argmax
  input output argmax
  batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows
  row_stride col_stride pad_rows pad_cols
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in
  let argmax_ptr = Ctypes.bigarray_start Ctypes_static.Genarray argmax in

  ml_eigen_tensor_spatial_max_pooling_argmax
    input_ptr output_ptr argmax_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows
    row_stride col_stride pad_rows pad_cols


let spatial_max_pooling_backward
  input output input'
  batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows
  row_stride col_stride pad_rows pad_cols
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in
  let input'_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input' in

  ml_eigen_tensor_spatial_max_pooling_backward
    input_ptr output_ptr input'_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows
    row_stride col_stride pad_rows pad_cols


let spatial_avg_pooling_backward
  input output
  batches input_cols input_rows in_channel
  kernel_cols kernel_rows output_cols output_rows
  row_stride col_stride pad_rows pad_cols
  =
  let input_ptr = Ctypes.bigarray_start Ctypes_static.Genarray input in
  let output_ptr = Ctypes.bigarray_start Ctypes_static.Genarray output in

  ml_eigen_tensor_spatial_avg_pooling_backward
    input_ptr output_ptr
    batches input_cols input_rows in_channel
    kernel_cols kernel_rows output_cols output_rows
    row_stride col_stride pad_rows pad_cols

(* ends here *)