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31 lines
776 B
Python
31 lines
776 B
Python
4 years ago
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import numpy as np
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from pycuda import gpuarray
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# -- initialize the device
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import pycuda.autoinit
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dev = pycuda.autoinit.device
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print(dev.name())
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print('\t Total Memory: {} megabytes'.format(dev.total_memory() // (1024 ** 2)))
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device_attributes = {}
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for k, v in dev.get_attributes().items():
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device_attributes[str(k)] = v
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print('\t ' + str(k) + ': ' + str(v))
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host_data = np.array([1, 2, 3, 4, 5], dtype=np.float32)
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host_data_2 = np.array([7, 12, 3, 5, 4], dtype=np.float32)
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device_data = gpuarray.to_gpu(host_data)
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device_data_2 = gpuarray.to_gpu(host_data_2)
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print(host_data * host_data_2)
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print((device_data * device_data_2).get())
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print(host_data / 2)
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print((device_data / 2).get())
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print(host_data - host_data_2)
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print((device_data - device_data_2).get())
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