Aharrypotter commented on code in PR #19813:
URL: https://github.com/apache/tvm/pull/19813#discussion_r3427175295
##########
python/tvm/relax/frontend/tflite/tflite_frontend.py:
##########
@@ -1521,6 +1534,18 @@ def get_scalar_value(tensor):
return out
+ def convert_rank(self, op):
+ """Convert TFLite RANK."""
+ input_tensors = self.get_input_tensors(op)
+ assert len(input_tensors) == 1, "input tensors length should be 1"
+
+ output_tensors = self.get_output_tensors(op)
+ assert len(output_tensors) == 1, "output tensors length should be 1"
+ output_dtype =
self.get_tensor_type_str(output_tensors[0].tensor.Type())
+
+ rank = len(self.get_tensor_shape(input_tensors[0]))
+ return relax.const(np.array(rank, dtype=output_dtype),
dtype=output_dtype)
Review Comment:
Addressed in 864935f1 by returning `relax.const(rank, dtype=output_dtype)`.
##########
python/tvm/relax/frontend/tflite/tflite_frontend.py:
##########
@@ -1564,6 +1612,26 @@ def convert_relu(self, op):
return out
+ def convert_relu_0_to_1(self, op):
+ """Convert TFLite RELU_0_TO_1."""
+ 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_f32 = self.dequantize(in_expr, input_tensor)
+ out = relax.op.clip(in_f32, min=0, max=1)
+ out = self.quantize(out, output_tensor)
+ else:
+ out = relax.op.clip(in_expr, min=0, max=1)
Review Comment:
Addressed in 864935f1 by switching the new `relax.op.clip` calls to
positional arguments.
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