diff options
Diffstat (limited to 'ethosu/vela/tflite_reader.py')
-rw-r--r-- | ethosu/vela/tflite_reader.py | 17 |
1 files changed, 10 insertions, 7 deletions
diff --git a/ethosu/vela/tflite_reader.py b/ethosu/vela/tflite_reader.py index 85acb6b..e732f19 100644 --- a/ethosu/vela/tflite_reader.py +++ b/ethosu/vela/tflite_reader.py @@ -153,18 +153,21 @@ class TFLiteSubgraph: self.virtual_outputs.append(tens) if op.type.is_depthwise_conv2d_op() or op.type.is_conv2d_op() or op.type == Op.FullyConnected: + # Reshape and add bias for ops with constant weights + # Do not modify ops with dynamic data since they will run on CPU if inputs[1].values is not None: if op.type == Op.FullyConnected: inputs[1] = clone_and_reshape_tensor(inputs[1], (1, 0), False) else: inputs[1] = clone_and_reshape_tensor(inputs[1], (1, 2, 3, 0), False) - if op.type.needs_bias() and len(inputs) <= op_type.info.indices.biases[0]: - # No Bias tensor - inputs.append(None) - if inputs[-1] and inputs[-1].values is not None: - # Since bias tensor is used for both bias and scale, - # a clone with a unique equivalence_id is needed. - inputs[-1] = clone_and_reshape_tensor(inputs[-1], None, True) + + if op.type.needs_bias() and len(inputs) <= op_type.info.indices.biases[0]: + # No Bias tensor + inputs.append(None) + if inputs[-1] and inputs[-1].values is not None: + # Since bias tensor is used for both bias and scale, + # a clone with a unique equivalence_id is needed. + inputs[-1] = clone_and_reshape_tensor(inputs[-1], None, True) if opt_serializer is not None: op.attrs = opt_serializer.deserialize(op_data) |