49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
import time
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import kp
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import numpy as np
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from imp1_naive import MatMulOp as MatMulOp1
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from imp2_tiled import MatMulOp as MatMulOp2
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from imp3_better_tiling import MatMulOp as MatMulOp3
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def main():
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experiment_count = 1000
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tensor_size = 512
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tensor_shape = [tensor_size, tensor_size]
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mat_1 = np.triu(np.ones(tensor_shape))
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mat_2 = np.triu(np.ones(tensor_shape))
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mat_result = mat_1 @ mat_2
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tensor_shape = [tensor_size, tensor_size]
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print(f'{tensor_shape} input tensors:\n'
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f'{mat_1}\n'
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f'{mat_2}\n')
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print(f'Output :\n{mat_result}')
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mgr = kp.Manager()
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tensor_in_1 = mgr.tensor(mat_1)
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tensor_in_2 = mgr.tensor(mat_2)
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tensor_out = mgr.tensor(np.zeros(tensor_shape))
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for MatMulOp in [MatMulOp1, MatMulOp2, MatMulOp3]:
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matmul_op = MatMulOp(mgr)
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matmul_op(tensor_shape, tensor_in_1, tensor_in_2, tensor_out)
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start_time = time.time()
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for _ in range(experiment_count):
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matmul_op(tensor_shape, tensor_in_1, tensor_in_2, tensor_out)
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end_time = time.time()
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experiment_time = end_time - start_time
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op_count = tensor_shape[0] * tensor_shape[1] * (tensor_shape[1] - 1)
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if (tensor_out.data().reshape(tensor_shape) == mat_result).all():
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print(f'From {MatMulOp.__module__} : {experiment_count} matmul time : '
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f'{experiment_time * 1000:0.2f}ms => '
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f'{experiment_count / experiment_time:0.2f}op/s or '
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f'{experiment_count * op_count / (1e9 * experiment_time):0.2f}GFLOPS')
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else:
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print(f'Test failed => output tensor is wrong :\n{tensor_out.data().reshape(tensor_shape)}')
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if __name__ == '__main__':
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main()
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