diff options
Diffstat (limited to 'ethosu/vela/tflite_reader.py')
| -rw-r--r-- | ethosu/vela/tflite_reader.py | 19 |
1 files changed, 0 insertions, 19 deletions
diff --git a/ethosu/vela/tflite_reader.py b/ethosu/vela/tflite_reader.py index 4ee39634..109ae0ec 100644 --- a/ethosu/vela/tflite_reader.py +++ b/ethosu/vela/tflite_reader.py @@ -20,7 +20,6 @@ import os.path import numpy as np from .errors import UnsupportedFeatureError -from .ethos_u55_regs.ethos_u55_regs import resampling_mode from .nn_graph import Graph from .nn_graph import Subgraph from .operation import Operation @@ -146,24 +145,6 @@ class TFLiteSubgraph: if opt_serializer is not None: op.attrs = opt_serializer.deserialize(op_data.BuiltinOptions(), op_data.CustomOptionsAsNumpy()) - if op_type.startswith("ResizeBilinear"): - input_tensor = op.inputs[0] - upscaled_shape = [input_tensor.shape[1] * 2, input_tensor.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: - raise UnsupportedFeatureError("ResizeBilinear: Only 2x upscaling is supported") - op.attrs.update({"filter_width": 2, "filter_height": 2, "stride_w": 1, "stride_h": 1}) - - input_tensor.resampling_mode = resampling_mode.NEAREST - 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: |