anijain2305 commented on a change in pull request #4805:
URL: https://github.com/apache/incubator-tvm/pull/4805#discussion_r420254831
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File path: python/tvm/relay/frontend/tflite.py
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@@ -463,6 +484,114 @@ def convert_relu(self, op):
return out
+ def convert_relu6(self, op):
+ """Convert TFLite ReLU6"""
+ try:
+ from tflite.Operator import Operator
+ except ImportError:
+ raise ImportError("The tflite package must be installed")
+
+ assert isinstance(op, Operator)
+ input_tensors = self.get_input_tensors(op)
+ assert len(input_tensors) == 1, "input tensors length should be 1"
+ input_tensor = input_tensors[0]
+ in_expr = self.get_expr(input_tensor.tensor_idx)
+
+ output_tensors = self.get_output_tensors(op)
+ assert len(output_tensors) == 1, "output tensors length should be 1"
+ output_tensor = output_tensors[0]
+
+ if input_tensor.qnn_params:
+ in_expr = self.dequantize(in_expr, input_tensor)
+ out = _op.clip(in_expr, a_min=0, a_max=6)
+ if output_tensor.qnn_params:
+ out = self.quantize(out, output_tensor)
Review comment:
This is expensive. Lets try this
https://github.com/apache/incubator-tvm/pull/5479/files
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