Add support for int4 inputs

Map things to int8 right now as we don't explicitly set an int4 input type and pack/unpack int4 operands

onnxruntime/core/providers/migraphx/migraphx_execution_provider.cc

@@ -237,10 +237,12 @@ static bool IsTypeSupported(const NodeArg* node_arg) {
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E5M2:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_FLOAT8E5M2FNUZ:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_DOUBLE:
+    case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT4:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT8:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT16:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT32:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_INT64:
+    case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_UINT4:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_UINT8:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_UINT16:
     case ONNX_NAMESPACE::TensorProto_DataType::TensorProto_DataType_UINT32:
@@ -277,6 +279,9 @@ static bool getMIGraphXType(ONNXTensorElementDataType type,
     case ONNX_TENSOR_ELEMENT_DATA_TYPE_FLOAT8E5M2FNUZ:
       mgx_type = migraphx_shape_fp8e5m2fnuz_type;
       break;
+    case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT4:
+      mgx_type = migraphx_shape_int8_type;
+      break;
     case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT8:
       mgx_type = migraphx_shape_int8_type;
       break;
@@ -289,6 +294,9 @@ static bool getMIGraphXType(ONNXTensorElementDataType type,
     case ONNX_TENSOR_ELEMENT_DATA_TYPE_INT64:
       mgx_type = migraphx_shape_int64_type;
       break;
+    case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT4:
+      mgx_type = migraphx_shape_uint8_type;
+      break;
     case ONNX_TENSOR_ELEMENT_DATA_TYPE_UINT8:
       mgx_type = migraphx_shape_uint8_type;
       break;
@@ -633,7 +641,7 @@ static bool IsNodeSupported(const std::set<std::string>& op_set,
   }
 
   // whether an operator implemented in migraphx
-  if (op_set.count(optype) == 0) {
+  if (op_set.count(optype) == 0 or op_set.count(optype+"fusion")) {
     return false;
   }