Transformations¶
This module contains a number of pre-created transformations.
-
reikna.transformations.
add_const
(arr_t, param)¶ Returns an addition transformation with a fixed parameter (1 output, 1 input):
output = input + param
.
-
reikna.transformations.
add_param
(arr_t, param_dtype)¶ Returns an addition transformation with a dynamic parameter (1 output, 1 input, 1 scalar):
output = input + param
.
-
reikna.transformations.
broadcast_const
(arr_t, val)¶ Returns a transformation that broadcasts the given constant to the array output (1 output):
output = val
.
-
reikna.transformations.
broadcast_param
(arr_t)¶ Returns a transformation that broadcasts the free parameter to the array output (1 output, 1 param):
output = param
.
-
reikna.transformations.
combine_complex
(output_arr_t)¶ Returns a transformation that joins two real inputs into complex output (1 output, 2 inputs):
output = real + 1j * imag
.
-
reikna.transformations.
copy
(arr_t, out_arr_t=None)¶ Returns an identity transformation (1 output, 1 input):
output = input
. Output array typeout_arr_t
may have different strides, but must have the same shape and data type.
-
reikna.transformations.
div_const
(arr_t, param)¶ Returns a scaling transformation with a fixed parameter (1 output, 1 input):
output = input / param
.
-
reikna.transformations.
div_param
(arr_t, param_dtype)¶ Returns a scaling transformation with a dynamic parameter (1 output, 1 input, 1 scalar):
output = input / param
.
-
reikna.transformations.
ignore
(arr_t)¶ Returns a transformation that ignores the output it is attached to.
-
reikna.transformations.
mul_const
(arr_t, param)¶ Returns a scaling transformation with a fixed parameter (1 output, 1 input):
output = input * param
.
-
reikna.transformations.
mul_param
(arr_t, param_dtype)¶ Returns a scaling transformation with a dynamic parameter (1 output, 1 input, 1 scalar):
output = input * param
.
-
reikna.transformations.
norm_const
(arr_t, order)¶ Returns a transformation that calculates the
order
-norm (1 output, 1 input):output = abs(input) ** order
.
-
reikna.transformations.
norm_param
(arr_t)¶ Returns a transformation that calculates the
order
-norm (1 output, 1 input, 1 param):output = abs(input) ** order
.
-
reikna.transformations.
split_complex
(input_arr_t)¶ Returns a transformation that splits complex input into two real outputs (2 outputs, 1 input):
real = Re(input), imag = Im(input)
.