gistfile1.txt

def forward(self, input):                                                                                                                      input_1 = input                                                                                                                            _0_conv1_input_scale_0 = getattr(self, "0_conv1_input_scale_0")                                                                            _0_conv1_input_zero_point_0 = getattr(self, "0_conv1_input_zero_point_0")                                                                  quantize_per_tensor = torch.quantize_per_tensor(input_1, _0_conv1_input_scale_0, _0_conv1_input_zero_point_0, torch.qint8);  input_1 = _0_conv1_input_scale_0 = _0_conv1_input_zero_point_0 = None                                                                                    dequantize = quantize_per_tensor.dequantize();  quantize_per_tensor = None                                                                 _0_conv1 = getattr(self, "0").conv1(dequantize)                                                                                            _0_conv1_output_scale_0 = getattr(self, "0_conv1_output_scale_0")                                                                          _0_conv1_output_zero_point_0 = getattr(self, "0_conv1_output_zero_point_0")                                                                quantize_per_tensor_1 = torch.quantize_per_tensor(_0_conv1, _0_conv1_output_scale_0, _0_conv1_output_zero_point_0, torch.qint8);  _0_co
nv1 = _0_conv1_output_scale_0 = _0_conv1_output_zero_point_0 = None
    dequantize_1 = quantize_per_tensor_1.dequantize();  quantize_per_tensor_1 = None
    _0_conv2 = getattr(self, "0").conv2(dequantize_1);  dequantize_1 = None
    _0_conv2_output_scale_0 = getattr(self, "0_conv2_output_scale_0")
    _0_conv2_output_zero_point_0 = getattr(self, "0_conv2_output_zero_point_0")
    quantize_per_tensor_2 = torch.quantize_per_tensor(_0_conv2, _0_conv2_output_scale_0, _0_conv2_output_zero_point_0, torch.qint8);  _0_co
nv2 = _0_conv2_output_scale_0 = _0_conv2_output_zero_point_0 = None
    dequantize_2 = quantize_per_tensor_2.dequantize();  quantize_per_tensor_2 = None
    add = dequantize_2 + dequantize;  dequantize_2 = dequantize = None
    _0_relu_1 = getattr(self, "0").relu(add);  add = None
    _0_relu_output_scale_0 = getattr(self, "0_relu_output_scale_0")
    _0_relu_output_zero_point_0 = getattr(self, "0_relu_output_zero_point_0")
    quantize_per_tensor_3 = torch.quantize_per_tensor(_0_relu_1, _0_relu_output_scale_0, _0_relu_output_zero_point_0, torch.qint8);  _0_rel
u_1 = _0_relu_output_scale_0 = _0_relu_output_zero_point_0 = None
    dequantize_3 = quantize_per_tensor_3.dequantize();  quantize_per_tensor_3 = None
    _1_conv1 = getattr(self, "1").conv1(dequantize_3)
    _1_conv1_output_scale_0 = getattr(self, "1_conv1_output_scale_0")
    _1_conv1_output_zero_point_0 = getattr(self, "1_conv1_output_zero_point_0")
    quantize_per_tensor_4 = torch.quantize_per_tensor(_1_conv1, _1_conv1_output_scale_0, _1_conv1_output_zero_point_0, torch.qint8);  _1_co
nv1 = _1_conv1_output_scale_0 = _1_conv1_output_zero_point_0 = None
    dequantize_4 = quantize_per_tensor_4.dequantize();  quantize_per_tensor_4 = None
    _1_conv2 = getattr(self, "1").conv2(dequantize_4);  dequantize_4 = None
    _1_conv2 = getattr(self, "1").conv2(dequantize_4);  dequantize_4 = None
    _1_conv2_output_scale_0 = getattr(self, "1_conv2_output_scale_0")
    _1_conv2_output_zero_point_0 = getattr(self, "1_conv2_output_zero_point_0")
    quantize_per_tensor_5 = torch.quantize_per_tensor(_1_conv2, _1_conv2_output_scale_0, _1_conv2_output_zero_point_0, torch.qint8);  _1_co
nv2 = _1_conv2_output_scale_0 = _1_conv2_output_zero_point_0 = None
    dequantize_5 = quantize_per_tensor_5.dequantize();  quantize_per_tensor_5 = None
    add_1 = dequantize_5 + dequantize_3;  dequantize_5 = dequantize_3 = None
    _1_relu_1 = getattr(self, "1").relu(add_1);  add_1 = None
    _1_relu_output_scale_0 = getattr(self, "1_relu_output_scale_0")
    _1_relu_output_zero_point_0 = getattr(self, "1_relu_output_zero_point_0")
    quantize_per_tensor_6 = torch.quantize_per_tensor(_1_relu_1, _1_relu_output_scale_0, _1_relu_output_zero_point_0, torch.qint8);  _1_rel
u_1 = _1_relu_output_scale_0 = _1_relu_output_zero_point_0 = None
    dequantize_6 = quantize_per_tensor_6.dequantize();  quantize_per_tensor_6 = None
    return dequantize_6