40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
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import random
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import numpy as np
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import time
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weights = np.random.default_rng(42).random((10, 10))
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biases = np.random.default_rng(42).random(10)
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biases = np.array(biases, dtype=object)
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time1 = time.perf_counter()
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for k in range(1000):
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_input = []
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for i in range(10):
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_input.append(random.randrange(10))
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_input = np.array(_input, dtype=object)
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for f in range(100):
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_input = np.matmul(_input, weights)
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_input = np.add(_input, biases)
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time2 = time.perf_counter()
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weights = np.random.default_rng(42).random((11, 10))
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time3 = time.perf_counter()
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for k in range(1000):
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_input = []
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for i in range(10):
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_input.append(random.randrange(10))
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_input = np.array(_input, dtype=object)
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for f in range(100):
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_input = np.insert(_input, 0, 1, axis=0)
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_input = np.matmul(_input, weights)
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time4 = time.perf_counter()
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print("Multiplication et addition : " + str(time2-time1) + " secondes")
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print("Insertion puis multiplication : " + str(time4-time3) + " secondes")
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