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Executing a CUDA function with PyCUDA (pt. 3)
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| # run multiply function on GPU | |
| multiply_func( | |
| result_gpu, a_gpu, b_gpu, | |
| block=(100, 1, 1), | |
| grid=(1, 1, 1) | |
| ) | |
| # Get data back from GPU | |
| cuda.memcpy_dtoh(result, result_gpu) | |
| assert np.allclose(result, np.multiply(a,b)) |
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