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Add test quantization of ArgMax for TensorRT #10325

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Feb 1, 2022
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Add test quantization of ArgMax for TensorRT #10325

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9400f50
Add test quantization of ArgMax for TensorRT
yihonglyu Jan 19, 2022
7f10af6
Use op_types_to_quantize=['ArgMax'] instead
yihonglyu Jan 29, 2022
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12 changes: 12 additions & 0 deletions onnxruntime/test/python/quantization/test_op_argmax.py
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Original file line number Diff line number Diff line change
Expand Up @@ -80,6 +80,7 @@ def quantize_argmax_test(self, activation_type, weight_type, extra_options = {})
weight_type_str = 'u8' if (weight_type == QuantType.QUInt8) else 's8'
model_uint8_path = 'argmax_{}{}.onnx'.format(activation_type_str, weight_type_str)
model_uint8_qdq_path = 'argmax_{}{}_qdq.onnx'.format(activation_type_str, weight_type_str)
model_uint8_qdq_trt_path = 'argmax_{}{}_qdq_trt.onnx'.format(activation_type_str, weight_type_str)

# Verify QOperator mode
data_reader = self.input_feeds(1, {'input': [1, 256, 128, 128]})
Expand All @@ -105,6 +106,17 @@ def quantize_argmax_test(self, activation_type, weight_type, extra_options = {})
data_reader.rewind()
check_model_correctness(self, model_fp32_path, model_uint8_qdq_path, data_reader.get_next())

# Verify QDQ mode for TensorRT
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data_reader.rewind()
quantize_static(model_fp32_path, model_uint8_qdq_trt_path, data_reader, quant_format=QuantFormat.QDQ,
activation_type=activation_type, weight_type=weight_type, extra_options=extra_options,
op_types_to_quantize=['ArgMax'])
qdqnode_counts = {'QuantizeLinear': 1, 'DequantizeLinear': 1, 'ArgMax': 1}
check_op_type_count(self, model_uint8_qdq_trt_path, **qdqnode_counts)
qnode_io_qtypes = {'QuantizeLinear' : [['i', 2, activation_proto_qtype], ['o', 0, activation_proto_qtype]]}
check_qtype_by_node_type(self, model_uint8_qdq_trt_path, qnode_io_qtypes)
data_reader.rewind()
check_model_correctness(self, model_fp32_path, model_uint8_qdq_trt_path, data_reader.get_next())

def test_quantize_argmax(self):
self.quantize_argmax_test(QuantType.QUInt8, QuantType.QUInt8)
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