def linear(g, q_input, q_weight, bias, op_scale, op_zero_point):
input, input_scale, _ = sym_help.dequantize_helper(g, q_input)
weight, weight_scale, _ = sym_help.dequantize_helper(g, q_weight)
q_bias = sym_help.requantize_bias_helper(g, bias, input_scale, weight_scale)
bias, _, _ = sym_help.dequantize_helper(g, q_bias)
output = linear(g, input, weight, bias)
return sym_help.quantize_helper(g, output, op_scale, op_zero_point)
def linear(g, q_input, q_weight, bias, op_scale, op_zero_point):
input, input_scale, _, _ = symbolic_helper.dequantize_helper(g, q_input)
weight, weight_scale, _, axis = symbolic_helper.dequantize_helper(g, q_weight)
q_bias = symbolic_helper.requantize_bias_helper(
g, bias, input_scale, weight_scale, axis
)
bias, _, _, _ = symbolic_helper.dequantize_helper(g, q_bias)
output = opset9.linear(g, input, weight, bias)
return symbolic_helper.quantize_helper(g, output, op_scale, op_zero_point)