diff options
Diffstat (limited to 'ethosu/vela/tflite_graph_optimiser.py')
| -rw-r--r-- | ethosu/vela/tflite_graph_optimiser.py | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/ethosu/vela/tflite_graph_optimiser.py b/ethosu/vela/tflite_graph_optimiser.py index 3646b01e..38e3f603 100644 --- a/ethosu/vela/tflite_graph_optimiser.py +++ b/ethosu/vela/tflite_graph_optimiser.py @@ -42,6 +42,7 @@ from .graph_optimiser_util import set_ifm_ofm_op_shapes from .graph_optimiser_util import set_tensor_equivalence from .numeric_util import clamp_sigmoid from .numeric_util import round_away_zero +from .numeric_util import round_up_to_int from .operation import create_activation_function from .operation import ExplicitScaling from .operation import NpuBlockType @@ -1365,7 +1366,7 @@ def convert_mean_to_depthwise_conv_or_avgpool(op, arch, nng): fiq = ifmq.clone() fiq.zero_point = 0 op.forced_input_quantization = fiq - bias_term = ofmq.zero_point - int(ifmq.zero_point * ifmq.scale_f32 / ofmq.scale_f32) + bias_term = ofmq.zero_point - round_up_to_int(ifmq.zero_point * ifmq.scale_f32 / ofmq.scale_f32) # If the bias term is outside uint8 range, we need an Add op to apply it. if bias_term < 0 or bias_term > 255: intermediate = op.ofm.clone(suffix="_intermediate", set_unique=True) |