I am done

rl/Lib/site-packages/onnxruntime/quantization/operators/argmax.py

@@ -0,0 +1,18 @@
+from .base_operator import QuantOperatorBase
+
+
+# Use the quantized tensor as input without DQ.
+class QArgMax(QuantOperatorBase):
+    def __init__(self, onnx_quantizer, onnx_node):
+        super().__init__(onnx_quantizer, onnx_node)
+
+    def quantize(self):
+        node = self.node
+
+        quantized_input_value = self.quantizer.find_quantized_value(node.input[0])
+        if quantized_input_value is None:
+            self.quantizer.new_nodes += [node]
+            return
+
+        node.input[0] = quantized_input_value.q_name
+        self.quantizer.new_nodes += [node]