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-rw-r--r--SUPPORTED_OPS.md6
-rw-r--r--ethosu/vela/tflite_graph_optimiser.py2
-rw-r--r--ethosu/vela/tflite_supported_operators.py6
3 files changed, 7 insertions, 7 deletions
diff --git a/SUPPORTED_OPS.md b/SUPPORTED_OPS.md
index 36b403ad..3ccf3ab5 100644
--- a/SUPPORTED_OPS.md
+++ b/SUPPORTED_OPS.md
@@ -1,7 +1,7 @@
# Supported Ops
This file was automatically generated by Vela using the `--supported-ops-report` parameter.
-Vela version: `3.5.1.dev14+gc22ad76.d20220921`
+Vela version: `3.6.0rc1.dev11+gac5e33e`
This file complies with
[**Gitiles Markdown syntax**](https://github.com/google/gitiles/blob/master/Documentation/markdown.md)
@@ -280,7 +280,7 @@ This is a list of constraints that the RESIZE_BILINEAR operator must satisfy in
W and H scaling must be equal and OFM W and H must be 2x/4x/8x IFM W and H, if align_corners is False
- The size tensor must match the output tensor shape
- Both align_corners and half_pixel_centers can't be True
-- Half_pixel_centers are only supported for resize bilinear with IFM dtype int8 or uint8
+- Half_pixel_centers are only supported for resize bilinear
- Half_pixel_centers for resize bilinear requires that OFM W and H is 2x IFM W and H
### TFLite RESIZE_NEAREST_NEIGHBOR Constraints
@@ -294,7 +294,7 @@ This is a list of constraints that the RESIZE_NEAREST_NEIGHBOR operator must sat
W and H scaling must be equal and OFM W and H must be 2x/4x/8x IFM W and H, if align_corners is False
- The size tensor must match the output tensor shape
- Both align_corners and half_pixel_centers can't be True
-- Half_pixel_centers are only supported for resize bilinear with IFM dtype int8 or uint8
+- Half_pixel_centers are only supported for resize bilinear
### TFLite SOFTMAX Constraints
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):