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diff --git a/res/TensorFlowLiteRecipes/Quant_Conv_002/test.rule b/res/TensorFlowLiteRecipes/Quant_Conv_002/test.rule
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+# To check float32 input/output.
+# Input/Output is float32, Conv is uint8.
+# Quantize Op is inserted at the beginning, Dequantize Op is inserted at the end.
+
+RULE "VERIFY_FILE_FORMAT" $(verify_file_format) '=' 1
+
+RULE "INPUT_FLOAT32" $(tensor_dtype ifm) '=' FLOAT32
+RULE "OUTPUT_FLOAT32" $(tensor_dtype ofm_Dequantize) '=' FLOAT32
+RULE "CONV_UINT8" $(tensor_dtype ofm) '=' UINT8
+RULE "WEIGHTS_UINT8" $(tensor_dtype filter) '=' UINT8
+RULE "BIAS_INT32" $(tensor_dtype bias) '=' INT32
+RULE "QUANTIZE_OP" $(op_count QUANTIZE) '=' 1
+RULE "DEQUANTIZE_OP" $(op_count DEQUANTIZE) '=' 1