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Here's the MWE
>>> import pycuda.autoinit >>> import pycuda.gpuarray as gpuarray >>> import numpy as np >>> empty = np.array([]) >>> empty_gpu = gpuarray.to_gpu(empty) >>> empty + empty # Passes >>> empty_gpu + empty_gpu # Fails
Here's the error trace
--------------------------------------------------------------------------- error Traceback (most recent call last) Input In [7], in <cell line: 7>() 5 empty_gpu = gpuarray.to_gpu(empty) 6 empty + empty # Passes ----> 7 empty_gpu + empty_gpu File ~/pycuda/pycuda/gpuarray.py:588, in GPUArray.__add__(self, other) 585 if isinstance(other, GPUArray): 586 # add another vector 587 result = _get_broadcasted_binary_op_result(self, other) --> 588 return self._axpbyz(1, other, 1, result) 590 elif np.isscalar(other): 591 # add a scalar 592 if other == 0: File ~/pycuda/pycuda/gpuarray.py:445, in GPUArray._axpbyz(self, selffac, other, otherfac, out, add_timer, stream) 432 add_timer( 433 3 * self.size, 434 func.prepared_timed_call( (...) 442 ), 443 ) 444 else: --> 445 func.prepared_async_call( 446 out._grid, 447 out._block, 448 stream, 449 selffac, 450 self.gpudata, 451 otherfac, 452 other.gpudata, 453 out.gpudata, 454 out.mem_size, 455 ) 457 return out File ~/pycuda/pycuda/driver.py:625, in _add_functionality.<locals>.function_prepared_async_call(func, grid, block, stream, *args, **kwargs) 619 raise TypeError( 620 "unknown keyword arguments: " + ", ".join(kwargs.keys()) 621 ) 623 from pycuda._pvt_struct import pack --> 625 arg_buf = pack(func.arg_format, *args) 627 for texref in func.texrefs: 628 func.param_set_texref(texref) error: required argument is not an integer
The text was updated successfully, but these errors were encountered:
There's a proposed fix for this at https://gitlab.tiker.net/inducer/pycuda/-/merge_requests/75.
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Here's the MWE
Here's the error trace
The text was updated successfully, but these errors were encountered: