Owl_dense_ndarray_zSourceinclude Owl_dense_ndarray_intf.Common with type elt := elt and type arr := arrinclude Owl_base_dense_ndarray_intf.Common
with type elt := elt
with type arr := arr``unit_basis k n i`` returns a unit basis vector with ``i``th element set to 1.
include Owl_dense_ndarray_intf.NN with type arr := arrinclude Owl_base_dense_ndarray_intf.NN with type arr := arrval dilated_conv1d :
?padding:Owl_types_common.padding ->
arr ->
arr ->
int array ->
int array ->
arrval dilated_conv2d :
?padding:Owl_types_common.padding ->
arr ->
arr ->
int array ->
int array ->
arrval dilated_conv3d :
?padding:Owl_types_common.padding ->
arr ->
arr ->
int array ->
int array ->
arrval max_pool1d_backward :
Owl_types_common.padding ->
arr ->
int array ->
int array ->
arr ->
arrval max_pool2d_backward :
Owl_types_common.padding ->
arr ->
int array ->
int array ->
arr ->
arrval max_pool3d_backward :
Owl_types_common.padding ->
arr ->
int array ->
int array ->
arr ->
arrval avg_pool1d_backward :
Owl_types_common.padding ->
arr ->
int array ->
int array ->
arr ->
arrval avg_pool2d_backward :
Owl_types_common.padding ->
arr ->
int array ->
int array ->
arr ->
arrval avg_pool3d_backward :
Owl_types_common.padding ->
arr ->
int array ->
int array ->
arr ->
arrval max_pool2d_argmax :
?padding:Owl_types.padding ->
arr ->
int array ->
int array ->
arr * (int64, Bigarray.int64_elt, Bigarray.c_layout) Bigarray.Genarray.tval dilated_conv1d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
arr ->
int array ->
int array ->
unitval dilated_conv2d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
arr ->
int array ->
int array ->
unitval dilated_conv3d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
arr ->
int array ->
int array ->
unitval transpose_conv1d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
arr ->
int array ->
unitval transpose_conv2d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
arr ->
int array ->
unitval transpose_conv3d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
arr ->
int array ->
unitval max_pool1d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
int array ->
int array ->
unitval max_pool2d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
int array ->
int array ->
unitval max_pool3d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
int array ->
int array ->
unitval avg_pool1d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
int array ->
int array ->
unitval avg_pool2d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
int array ->
int array ->
unitval avg_pool3d_ :
out:arr ->
?padding:Owl_types.padding ->
arr ->
int array ->
int array ->
unitval max_pool1d_backward_ :
out:arr ->
Owl_types.padding ->
arr ->
int array ->
int array ->
arr ->
unitval max_pool2d_backward_ :
out:arr ->
Owl_types.padding ->
arr ->
int array ->
int array ->
arr ->
unitval max_pool3d_backward_ :
out:arr ->
Owl_types.padding ->
arr ->
int array ->
int array ->
arr ->
unitval avg_pool1d_backward_ :
out:arr ->
Owl_types.padding ->
arr ->
int array ->
int array ->
arr ->
unitval avg_pool2d_backward_ :
out:arr ->
Owl_types.padding ->
arr ->
int array ->
int array ->
arr ->
unitval avg_pool3d_backward_ :
out:arr ->
Owl_types.padding ->
arr ->
int array ->
int array ->
arr ->
unitinclude Owl_dense_ndarray_intf.Complex
with type elt := elt
and type arr := arr
and type cast_arr := cast_arr``complex re im`` constructs a complex ndarray/matrix from ``re`` and ``im``. ``re`` and ``im`` contain the real and imaginary part of ``x`` respectively.
Note that both ``re`` and ``im`` can be complex but must have same type. The real part of ``re`` will be the real part of ``x`` and the imaginary part of ``im`` will be the imaginary part of ``x``.
``polar rho theta`` constructs a complex ndarray/matrix from polar coordinates ``rho`` and ``theta``. ``rho`` contains the magnitudes and ``theta`` contains phase angles. Note that the behaviour is undefined if ``rho`` has negative elelments or ``theta`` has infinity elelments.