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def generator(): | |
for factor in np.arange(0.5, 1, 0.01): | |
time = np.arange(0, 50, 0.2) | |
sin: np.ndarray = np.sin(factor * time) + np.random.normal(scale=0.25, size=len(time)) | |
yield sin[:25], sin[25:] | |
time_steps = 25 | |
input_dim = 1 | |
output_dim = 1 | |
dataset = tf.data.Dataset.from_generator( | |
generator=generator, | |
output_types=(tf.float32, tf.float32), | |
output_shapes=( | |
tf.TensorShape([None, time_steps, input_dim]), # x output shape | |
tf.TensorShape([None, time_steps, output_dim]) # y output shape | |
) | |
) |
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