package eigen
Legend:
Library
Module
Module type
Parameter
Class
Class type
Library
Module
Module type
Parameter
Class
Class type
val elt : float Ctypes.typ
val ml_eigen_tensor_test : float Ctypes_static.ptr -> unit
val ml_eigen_tensor_spatial_conv :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_spatial_conv_backward_input :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_spatial_conv_backward_kernel :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_cuboid_conv :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_cuboid_conv_backward_input :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_cuboid_conv_backward_kernel :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_spatial_max_pooling :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_spatial_avg_pooling :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_cuboid_max_pooling :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_cuboid_avg_pooling :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_spatial_max_pooling_argmax :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int64 Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_spatial_max_pooling_backward :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
val ml_eigen_tensor_spatial_avg_pooling_backward :
float Ctypes_static.ptr ->
float Ctypes_static.ptr ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
int ->
unit
sectionYPositions = computeSectionYPositions($el), 10)"
x-init="setTimeout(() => sectionYPositions = computeSectionYPositions($el), 10)"
>