MLBEDSW-4892: Fix crash affecting biases without quantization.
Remove quant_values attribute from Tensor class.
It only needs a single values attribute, holding either
quantized or unquantized values as appropriate.
Change-Id: Ie96f80ac58061b6077e0f7048dc60209fdfbcafa
Signed-off-by: James Peet <james.peet@arm.com>
diff --git a/ethosu/vela/npu_serialisation.py b/ethosu/vela/npu_serialisation.py
index 06ea61d..ea35ac6 100644
--- a/ethosu/vela/npu_serialisation.py
+++ b/ethosu/vela/npu_serialisation.py
@@ -48,7 +48,7 @@
def copy_ifm_values_to_memory_tensor(memory_tensor, src_tensor):
start_addr = src_tensor.address
- values = src_tensor.quant_values.flatten() if src_tensor.quant_values is not None else src_tensor.values.flatten()
+ values = src_tensor.values.flatten()
if src_tensor.dtype.size_in_bytes() > 1:
values = np.frombuffer(values.tobytes(), dtype=np.uint8)
end_addr = start_addr + values.size