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Another attempt at supporting non-contiguous arrays #171

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Another attempt at supporting non-contiguous arrays #171

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7d09e44
Fix slicing with negative stride.
Feb 15, 2018
27bcf76
Commit only DeferredSourceModule support without changing calling beh…
Feb 19, 2018
be4014c
Smarter _new_like_me that handles discontiguous input. Have copy() u…
Feb 19, 2018
afc3251
Make sure key is hashable.
Feb 21, 2018
9cb80f7
Allow existing kernel calls to use non-contiguous arrays by sending a…
Feb 21, 2018
b38c75f
Fix variable names.
Feb 21, 2018
1f6486b
Non-contiguous is OK now.
Feb 21, 2018
edcc44a
Forgot to remove non-contiguity check.
Feb 21, 2018
e23c943
Allow setting scalars.
Feb 21, 2018
9cfaf97
fix: update signature of gpuarray.reshape to match the GPUArray method
grlee77 Dec 6, 2017
080ec59
Add get_texref() to ElementwiseKernel
bailsman Feb 19, 2018
a7cb982
Update bpl-subset, possibly including pypy support
inducer Feb 27, 2018
fb10ffd
Make characterize.platform_bits work with Pypy (patch by Emanuel Riet…
inducer Feb 27, 2018
71ec966
Fix pytest script-based test invocation
inducer Feb 27, 2018
542cffa
Fix DeferredFunction.__call__, and change modulelazy to deferredmod.
Feb 22, 2018
8d278fb
Make sure 'texrefs' keyword arg is re-evaluated every time.
Feb 28, 2018
5a4a2fa
Store module in cache too.
Feb 28, 2018
05a5400
Send grid and block to _delayed_get_function
Feb 28, 2018
11108fe
Fix comment.
Feb 28, 2018
1a6228c
Add debug option to ElementwiseSourceModule.
Feb 28, 2018
b743698
Fix index calculation (found using _debug!)
Feb 28, 2018
7e57a72
Add shape to the key (so it needs to remain a tuple).
Feb 28, 2018
c5de070
Remove unnecessary format key.
Feb 28, 2018
61bd908
Fix kernel name.
Feb 28, 2018
33a0dd8
Fix _array_like_helper to work with non-contiguous arrays.
Feb 28, 2018
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2 changes: 1 addition & 1 deletion bpl-subset
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Submodule bpl-subset updated 103 files
6 changes: 5 additions & 1 deletion pycuda/characterize.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,11 @@


def platform_bits():
return tuple.__itemsize__ * 8
import sys
if sys.maxsize > 2**32:
return 64
else:
return 32


def has_stack():
Expand Down
10 changes: 5 additions & 5 deletions pycuda/cumath.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def f(array, stream_or_out=None, **kwargs):

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

return out
return f
Expand Down Expand Up @@ -77,7 +77,7 @@ def fmod(arg, mod, stream=None):

func = elementwise.get_fmod_kernel()
func.prepared_async_call(arg._grid, arg._block, stream,
arg.gpudata, mod.gpudata, result.gpudata, arg.mem_size)
arg, mod, result, arg.mem_size)

return result

Expand All @@ -94,7 +94,7 @@ def frexp(arg, stream=None):

func = elementwise.get_frexp_kernel()
func.prepared_async_call(arg._grid, arg._block, stream,
arg.gpudata, sig.gpudata, expt.gpudata, arg.mem_size)
arg, sig, expt, arg.mem_size)

return sig, expt

Expand All @@ -111,7 +111,7 @@ def ldexp(significand, exponent, stream=None):

func = elementwise.get_ldexp_kernel()
func.prepared_async_call(significand._grid, significand._block, stream,
significand.gpudata, exponent.gpudata, result.gpudata,
significand, exponent, result,
significand.mem_size)

return result
Expand All @@ -129,7 +129,7 @@ def modf(arg, stream=None):

func = elementwise.get_modf_kernel()
func.prepared_async_call(arg._grid, arg._block, stream,
arg.gpudata, intpart.gpudata, fracpart.gpudata,
arg, intpart, fracpart,
arg.mem_size)

return fracpart, intpart
2 changes: 1 addition & 1 deletion pycuda/curandom.py
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Original file line number Diff line number Diff line change
Expand Up @@ -240,7 +240,7 @@ def rand(shape, dtype=np.float32, stream=None):
raise NotImplementedError;

func.prepared_async_call(result._grid, result._block, stream,
result.gpudata, np.random.randint(2**31-1), result.size)
result, np.random.randint(2**31-1), result.size)

return result

Expand Down
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