NXP backend: Fix incorrect quantization range

Author: StrycekSimon

backends/transforms/quantize_fused_convbn_bias_pass.py

@@ -246,7 +246,7 @@ def _quantize_fused_conv_bias(
                 bias_scale,
                 bias_zp,
                 0,
-                -(2**31),
+                -(2**31) + 1,
                 2**31 - 1,
                 torch.int32,
             )
@@ -267,7 +267,7 @@ def _quantize_fused_conv_bias(
                         scale_node,
                         zp_node,
                         0,
-                        -(2**31),
+                        -(2**31) + 1,
                         2**31 - 1,
                         torch.int32,
                     ),
@@ -279,14 +279,14 @@ def _quantize_fused_conv_bias(
             bias_scale = input_dequant.args[1] * weight_scale
 
             qbias = torch.ops.quantized_decomposed.quantize_per_tensor.default(
-                bias, bias_scale, 0, -(2**31), 2**31 - 1, torch.int32
+                bias, bias_scale, 0, -(2**31) + 1, 2**31 - 1, torch.int32
             )
             set_param(bias_node, qbias)
 
             with graph_module.graph.inserting_before(node):
                 bias_dequant = graph_module.graph.call_function(
                     dq_per_tensor,
-                    (bias_node, bias_scale, 0, -(2**31), 2**31 - 1, torch.int32),
+                    (bias_node, bias_scale, 0, -(2**31) + 1, 2**31 - 1, torch.int32),
                 )
                 bias_dequant.meta["val"] = dequant_val
                 node.replace_input_with(bias_node, bias_dequant)