package eigen

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in-package search v0.2.0

Owl's OCaml interface to Eigen3 C++ library

Install

dune-project

Dependency

github.com Readme Edit opam file Versions (14)

Authors

L

Liang Wang

Maintainers

L

Liang Wang <ryanrhymes@gmail.com>

Sources

eigen-0.3.1.tbz

sha256=dcb882701d1266550489f1c08f24dd14f840f1beb6f730fe84e87c9ed9a602e4

sha512=3efbf403d3daa765d7a5e6695c276566f9ff72c5e266044c6ae19d168c86dd87ddc9eb8bfa75417837cc340944b30e798e6f5d2417a0f53c48316dae9149ae7b

doc/src/eigen/eigen_tensor_d.ml.html

Source file `eigen_tensor_d.ml`

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(*
 * Eigen - an OCaml interface to C++ Eigen library
 * Copyright (c) 2016-2020 Liang Wang <liang.wang@cl.cam.ac.uk>
 *)

open Eigen_types.TENSOR_D

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 *)