c4d29cdf21abb94736781acc3c2d73ac6746e280,keras/backend/tensorflow_backend.py,,moving_average_update,#Any#Any#Any#,969

Before Change

    
    if value.dtype != x.dtype:
        value = tf.cast(value, x.dtype)
    return moving_averages.assign_moving_average(
        x, value, momentum, zero_debias=True)


// LINEAR ALGEBRA

After Change

        An operation to update the variable.
    
    with tf_ops.colocate_with(x):
        decay = tf_ops.convert_to_tensor(1.0 - momentum)
        if decay.dtype != x.dtype.base_dtype:
            decay = tf_math_ops.cast(decay, x.dtype.base_dtype)
        update_delta = (x - tf_math_ops.cast(value, x.dtype)) * decay
        return tf_state_ops.assign_sub(x, update_delta)


// LINEAR ALGEBRA

Instances