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-rw-r--r--ethosu/vela/tflite_graph_optimiser.py2
-rw-r--r--ethosu/vela/tflite_supported_operators.py6
2 files changed, 4 insertions, 4 deletions
diff --git a/ethosu/vela/tflite_graph_optimiser.py b/ethosu/vela/tflite_graph_optimiser.py
index 27513d3d..1310ee63 100644
--- a/ethosu/vela/tflite_graph_optimiser.py
+++ b/ethosu/vela/tflite_graph_optimiser.py
@@ -586,7 +586,7 @@ def convert_resizebilinear_to_depthwise_convolutions(op, half_pixel_centers=True
# need to append the bias tensor as resize ops only have 2 inputs
assert len(dw_conv.inputs) == 2
dw_conv.inputs.append(None)
- fixup_bias_tensors(dw_conv, None, None)
+ fixup_bias_tensors(dw_conv, None, None, dtype=DataType.int32)
dw_conv.set_ifm_ofm_shapes()
dw_conv = dw_conv.clone(f"_{index}")
diff --git a/ethosu/vela/tflite_supported_operators.py b/ethosu/vela/tflite_supported_operators.py
index 9aa174de..8b448dfe 100644
--- a/ethosu/vela/tflite_supported_operators.py
+++ b/ethosu/vela/tflite_supported_operators.py
@@ -666,12 +666,12 @@ class TFLiteSupportedOperators:
@staticmethod
def constraint_resize_half_pixel_centers(op):
- """Half_pixel_centers are only supported for resize bilinear with IFM dtype int8 or uint8"""
- valid = op.ifm.dtype in (DataType.int8, DataType.uint8)
+ """Half_pixel_centers are only supported for resize bilinear"""
+ valid = True
half_pixel_centers = op.attrs.get("half_pixel_centers", False)
if half_pixel_centers and op.type != Op.ResizeBilinear:
valid = False
- return valid, f"Op type={op.type}, ifm dtype={op.ifm.dtype} and half_pixel_centers={half_pixel_centers}"
+ return valid, f"Op type={op.type} and half_pixel_centers={half_pixel_centers}"
@staticmethod
def constraint_resizebi_half_pixel_centers_dims(op):