parameters: (op, grad)
return_statement: return fake_quant_with_min_max_vars_per_channel_gradient(
        grad,
        op.inputs[0],
        op.inputs[1],
        op.inputs[2],
        num_bits=op.get_attr("num_bits"),
        narrow_range=op.get_attr("narrow_range"))
docstring: Gradient for FakeQuantWithMinMaxVarsPerChannel op.
docstring_summary: Gradient for FakeQuantWithMinMaxVarsPerChannel op.
docstring_tokens: Gradient for FakeQuantWithMinMaxVarsPerChannel op .
function: def _FakeQuantWithMinMaxVarsPerChannelGradient(op, grad):
    """Gradient for FakeQuantWithMinMaxVarsPerChannel op."""
    return fake_quant_with_min_max_vars_per_channel_gradient(
        grad,
        op.inputs[0],
        op.inputs[1],
        op.inputs[2],
        num_bits=op.get_attr("num_bits"),
        narrow_range=op.get_attr("narrow_range"))
function_tokens: def _FakeQuantWithMinMaxVarsPerChannelGradient ( op , grad ) : return fake_quant_with_min_max_vars_per_channel_gradient ( grad , op . inputs [ 0 ] , op . inputs [ 1 ] , op . inputs [ 2 ] , num_bits = op . get_attr ( "num_bits" ) , narrow_range = op . get_attr ( "narrow_range" ) )