Update m1_tf_test.py
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@@ -89,7 +89,6 @@ model = tf.keras.models.Sequential([
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tf.keras.layers.Dropout(0.2)
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tf.keras.layers.Dropout(0.2)
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])
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])
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loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
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loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
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model.add(LSTM(1, input_shape=(10, 1)))
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model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])
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model.compile(optimizer='adam', loss=loss_fn, metrics=['accuracy'])
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these = model.fit(x_train, y_train, epochs=10).history
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these = model.fit(x_train, y_train, epochs=10).history
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that = ComputeSum(len(these))
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that = ComputeSum(len(these))
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