anijain2305 commented on a change in pull request #5848:
URL: https://github.com/apache/incubator-tvm/pull/5848#discussion_r445326022
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File path: python/tvm/relay/frontend/tflite.py
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@@ -262,21 +298,25 @@ def get_tensor_value(self, tensor_wrapper):
except ImportError:
raise ImportError("The tflite package must be installed")
+ data = tensor_wrapper.buffer.DataAsNumpy()
+ shape = tensor_wrapper.tensor.ShapeAsNumpy()
+
+ # Set shape to 1 if the data is a scalar type
+ if data.shape == (1,) and isinstance(shape, int) and shape == 0:
+ shape = (1,)
+
+ if tensor_wrapper.tensor.Type() == TensorType.INT8:
+ return np.frombuffer(data, dtype=np.int8).reshape(shape)
if tensor_wrapper.tensor.Type() == TensorType.UINT8:
- return np.frombuffer(tensor_wrapper.buffer.DataAsNumpy(),
dtype=np.uint8).reshape(
- tensor_wrapper.tensor.ShapeAsNumpy())
- if tensor_wrapper.tensor.Type() == TensorType.FLOAT32:
- return np.frombuffer(tensor_wrapper.buffer.DataAsNumpy(),
dtype=np.float32).reshape(
- tensor_wrapper.tensor.ShapeAsNumpy())
+ return np.frombuffer(data, dtype=np.uint8).reshape(shape)
Review comment:
Samuel. Thats a good point. I looked into int16 support. This is
experimental in TFLite for now.
For float16, I think we will need a good number of tests. I think we can
handle float16 in a separate PR.
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