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author | erik.andersson@arm.com <erik.andersson@arm.com> | 2021-10-28 14:08:52 +0200 |
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committer | erik.andersson@arm.com <erik.andersson@arm.com> | 2021-10-29 13:29:16 +0200 |
commit | ba2555e9fe9a93a308cc4e50f6a8a160571cb563 (patch) | |
tree | b0ca8dd14103a4fd7aa9248ddab364986e0ad92e /ethosu/vela/tflite_supported_operators.py | |
parent | 0af0d383925968626a7c37b084ad806742511e79 (diff) | |
download | ethos-u-vela-ba2555e9fe9a93a308cc4e50f6a8a160571cb563.tar.gz |
MLBEDSW-4925: Fix resize bilinear attribute check
Previously we did not check if half_pixel_centers
was set. Since we do not support it, these cases
should not run on the NPU.
Signed-off-by: erik.andersson@arm.com <erik.andersson@arm.com>
Change-Id: I9d2675f760424d5cfb67e5d581dd1861ad165b85
Diffstat (limited to 'ethosu/vela/tflite_supported_operators.py')
-rw-r--r-- | ethosu/vela/tflite_supported_operators.py | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/ethosu/vela/tflite_supported_operators.py b/ethosu/vela/tflite_supported_operators.py index d590054f..a3c0dd8d 100644 --- a/ethosu/vela/tflite_supported_operators.py +++ b/ethosu/vela/tflite_supported_operators.py @@ -162,6 +162,7 @@ class TFLiteSupportedOperators: # Resizing specific checks: for op_type in TFLiteSupportedOperators.resizing_ops: self.specific_constraints[op_type].append(TFLiteSupportedOperators.constraint_resize) + self.specific_constraints[op_type].append(TFLiteSupportedOperators.constraint_bilinear_resize_attrs) # Vector Product specific checks: for op_type in TFLiteSupportedOperators.fc_vector_products: @@ -530,6 +531,14 @@ class TFLiteSupportedOperators: return valid, f"Op has ifm_shape={ifm_shape}, ofm_shape={ofm_shape} and align_corners={align_corners}" @staticmethod + def constraint_bilinear_resize_attrs(op): + "half_pixel_centers are not supported" + valid = True + if op.attrs.get("half_pixel_centers"): + valid = False + return valid, f"Op has half_pixel_centers set to {not valid}." + + @staticmethod def constraint_pad_shape(op): "The padding tensor must have the shape [3,2] or [4,2]" valid = op.inputs[1].shape in ([3, 2], [4, 2]) |