def conv_output_length(input_length, filter_size,
                       padding, stride, dilation=1):
    """Determines output length of a convolution given input length.
    # Arguments
        input_length: integer.
        filter_size: integer.
        padding: one of `"same"`, `"valid"`, `"full"`.
        stride: integer.
        dilation: dilation rate, integer.
    # Returns
        The output length (integer).
    """
    if input_length is None:
        return None
    assert padding in {'same', 'valid', 'full', 'causal'}
    dilated_filter_size = (filter_size - 1) * dilation + 1
    if padding == 'same':
        output_length = input_length
    elif padding == 'valid':
        output_length = input_length - dilated_filter_size + 1
    elif padding == 'causal':
        output_length = input_length
    elif padding == 'full':
        output_length = input_length + dilated_filter_size - 1
    return (output_length + stride - 1) // stride
Determines output length of a convolution given input length.
    # Arguments
        input_length: integer.
        filter_size: integer.
        padding: one of `"same"`, `"valid"`, `"full"`.
        stride: integer.
        dilation: dilation rate, integer.
    # Returns
        The output length (integer).
    
asr/models/layers/time_frequency.py