diff options
Diffstat (limited to 'ethosu/vela/tflite_reader.py')
| -rw-r--r-- | ethosu/vela/tflite_reader.py | 16 |
1 files changed, 16 insertions, 0 deletions
diff --git a/ethosu/vela/tflite_reader.py b/ethosu/vela/tflite_reader.py index 4456d5a0..aa0ec4d8 100644 --- a/ethosu/vela/tflite_reader.py +++ b/ethosu/vela/tflite_reader.py @@ -156,6 +156,22 @@ class TFLiteSubgraph: if opt_serializer is not None: op.attrs = opt_serializer.deserialize(op_data.BuiltinOptions(), op_data.CustomOptionsAsNumpy()) + if op_type.startswith("ResizeBilinear"): + upscaled_shape = [op.inputs[0].shape[1] * 2, op.inputs[0].shape[2] * 2] + out_shape = op.outputs[0].shape[1:3] + if not op.attrs['align_corners'] and out_shape == upscaled_shape: + # this means the output is supposed to be a x2 upscale, + # so we need to do SAME padding + op.attrs.update({'padding': b'SAME'}) + elif (op.attrs['align_corners'] + and out_shape == [upscaled_shape[0] - 1, upscaled_shape[1] - 1]): + # here we can just run the avg pool without padding and + # produce a (M * 2 - 1, N * 2 - 1) sized output + op.attrs.update({'padding': b'VALID'}) + else: + assert False, "Only 2x upscaling is supported" + op.attrs.update({'filter_width': 2, 'filter_height': 2, 'stride_w': 1, 'stride_h': 1,}) + if "stride_w" in op.attrs: op.attrs["strides"] = (1, op.attrs["stride_h"], op.attrs["stride_w"], 1) if "filter_width" in op.attrs: |