Arm backend: Convert asserts to raise errors in op_minimum

Asserts are converted to proper raises to ensure graph integrity.

Improve error messages and add additional check that both inputs and
outputs have the same data type.

Change-Id: I1bc2f001f1a5a75a57468263bc5343de1476b90f
Signed-off-by: Sebastian Larsson <[email protected]>

Author: Sebastian-Larsson

backends/arm/operators/op_minimum.py

@@ -39,20 +39,27 @@ def define_node(
         inputs: List[TosaArg],
         output: TosaArg,
     ) -> None:
-        assert inputs[0].dtype == inputs[1].dtype
+        if inputs[0].dtype != inputs[1].dtype and inputs[0].dtype != output.dtype:
+            raise TypeError(
+                f"Data type of inputs and output must be the same. Got input 0 dtype: "
+                f"{inputs[0].dtype}, input 1 dtype: {inputs[1].dtype} and output "
+                f"dtype: {output.dtype}"
+            )
 
         scale_back = 1.0
         min_output = output
         if inputs[0].dtype == ts.DType.INT8:
             input_qparams = get_input_qparams(node)
-            assert (
-                len(input_qparams) == 2
-            ), f"Both inputs needs to have quantization information for {node}"
-            # insert RESCALEs to int32
-            assert (
-                input_qparams[0] == input_qparams[1]
-            ), "Both inputs must have same quantization for MIN"
+            if len(input_qparams) != 2:
+                raise ValueError(
+                    f"Both inputs need to have quantization information for {node}"
+                )
+            if input_qparams[0] != input_qparams[1]:
+                raise ValueError(
+                    "Both inputs must have the same quantization parameters for MIN"
+                )
 
+            # insert RESCALEs to int32
             operand_inputs, scale_back = tqutils.insert_rescale_ops_to_int32(
                 tosa_graph, inputs, node
             )