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Added 'out' parameter to unary math functions.
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untom committed Mar 5, 2014
1 parent dcbcc84 commit a1cc472
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Showing 3 changed files with 34 additions and 20 deletions.
32 changes: 16 additions & 16 deletions doc/source/array.rst
Expand Up @@ -338,34 +338,34 @@ workalikes for the functions contained in :mod:`math`.
Rounding and Absolute Value
^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. function:: fabs(array, stream=None)
.. function:: ceil(array, stream=None)
.. function:: floor(array, stream=None)
.. function:: fabs(array, out=None, stream=None)
.. function:: ceil(array, out=None, stream=None)
.. function:: floor(array, out=None, stream=None)

Exponentials, Logarithms and Roots
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. function:: exp(array, stream=None)
.. function:: log(array, stream=None)
.. function:: log10(array, stream=None)
.. function:: sqrt(array, stream=None)
.. function:: exp(array, out=None, stream=None)
.. function:: log(array, out=None, stream=None)
.. function:: log10(array, out=None, stream=None)
.. function:: sqrt(array, out=None, stream=None)

Trigonometric Functions
^^^^^^^^^^^^^^^^^^^^^^^

.. function:: sin(array, stream=None)
.. function:: cos(array, stream=None)
.. function:: tan(array, stream=None)
.. function:: asin(array, stream=None)
.. function:: acos(array, stream=None)
.. function:: atan(array, stream=None)
.. function:: sin(array, out=None, stream=None)
.. function:: cos(array, out=None, stream=None)
.. function:: tan(array, out=None, stream=None)
.. function:: asin(array, out=None, stream=None)
.. function:: acos(array, out=None, stream=None)
.. function:: atan(array, out=None, stream=None)

Hyperbolic Functions
^^^^^^^^^^^^^^^^^^^^

.. function:: sinh(array, stream=None)
.. function:: cosh(array, stream=None)
.. function:: tanh(array, stream=None)
.. function:: sinh(array, out=None, stream=None)
.. function:: cosh(array, out=None, stream=None)
.. function:: tanh(array, out=None, stream=None)

Floating Point Decomposition and Assembly
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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14 changes: 10 additions & 4 deletions pycuda/cumath.py
Expand Up @@ -3,8 +3,7 @@
import numpy as np

def _make_unary_array_func(name):
def f(array, stream=None):
result = array._new_like_me()
def f(array, out=None, stream=None):

if array.dtype == np.float32:
func_name = name + "f"
Expand All @@ -15,11 +14,18 @@ def f(array, stream=None):
raise RuntimeError("only contiguous arrays may "
"be used as arguments to this operation")

if out is None:
out = array._new_like_me()
else:
assert out.dtype == array.dtype
assert out.strides == array.strides
assert out.shape == array.shape

func = elementwise.get_unary_func_kernel(func_name, array.dtype)
func.prepared_async_call(array._grid, array._block, stream,
array.gpudata, result.gpudata, array.mem_size)
array.gpudata, out.gpudata, array.mem_size)

return result
return out
return f

fabs = _make_unary_array_func("fabs")
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8 changes: 8 additions & 0 deletions test/test_cumath.py
Expand Up @@ -54,6 +54,14 @@ def test():
assert (max_err <= threshold).all(), \
(max_err, name, dtype)

gpu_results2 = gpuarray.empty_like(args)
gr2 = gpu_func(args, out=gpu_results2)
assert gpu_results2 is gr2
gr2 = gr2.get()
max_err = np.max(np.abs(cpu_results - gr2))
assert (max_err <= threshold).all(), \
(max_err, name, dtype)

return mark_cuda_test(test)


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