MLBEDSW-5209 Vela: output diff depthwise with non-zero zero points
Fixed by adjusting zero points for ops with int8 IFM and asymmetric weights
since the reference does not support asymmetric weights for int8 IFM and
ignores the zero points.
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
Change-Id: I2a206a01a471a53aa864a6a3616aa23d2a5a23c8
diff --git a/ethosu/vela/tflite_graph_optimiser.py b/ethosu/vela/tflite_graph_optimiser.py
index 2469a70..e01433d 100644
--- a/ethosu/vela/tflite_graph_optimiser.py
+++ b/ethosu/vela/tflite_graph_optimiser.py
@@ -1152,6 +1152,16 @@
return op
+def fixup_asymmetric_weights(op, arch, nng):
+ if op.run_on_npu and (op.type.is_conv2d_op() or op.type.is_depthwise_conv2d_op()):
+ if op.ifm.dtype == DataType.int8:
+ if not np.all(op.weights.quantization.zero_point == 0):
+ print(f"Warning: {op.type} '{op.name}' has asymmetric weights, zero points have been adjusted.")
+ op.weights.quantization.zero_point *= 0
+
+ return op
+
+
def convert_mean_to_depthwise_conv_or_avgpool(op, arch, nng):
if op.type == Op.Mean and op.run_on_npu:
keep_dims = op.attrs.get("keep_dims", False)
@@ -1405,6 +1415,7 @@
reorder_depthwise_weights,
fixup_resizebilinear,
fixup_bias_tensors,
+ fixup_asymmetric_weights,
convert_mul_max_to_abs_or_lrelu,
convert_lrelu,
convert_tanh_sigmoid_to_lut,