diff options
Diffstat (limited to 'ethosu/vela/weight_compressor.py')
| -rw-r--r-- | ethosu/vela/weight_compressor.py | 9 |
1 files changed, 7 insertions, 2 deletions
diff --git a/ethosu/vela/weight_compressor.py b/ethosu/vela/weight_compressor.py index 04d684e6..a81b1fb4 100644 --- a/ethosu/vela/weight_compressor.py +++ b/ethosu/vela/weight_compressor.py @@ -23,6 +23,7 @@ from ethosu import mlw_codec from .architecture_features import Block from .data_type import DataType +from .errors import UnsupportedFeatureError from .nn_graph import SchedulingStrategy from .numeric_util import round_up from .operation import NpuBlockType @@ -292,14 +293,18 @@ def calc_scales_and_pack_biases(tens, arch, oc_quantum, rescale_for_faf=False): for weight_scale in weight_scales ] else: - assert False, str(ifm_dtype) + " not implemented" + raise UnsupportedFeatureError( + "Compression of {} is not implemented; tensor: {}".format(ifm_dtype, tens.name) + ) else: if ifm_dtype == DataType.uint8: scales = [np.double(ifm_scale * weight_scale * 0x3000) for weight_scale in weight_scales] elif ifm_dtype == DataType.int8 or ifm_dtype == DataType.int16: scales = [(np.double(ifm_scale * 0x3000) * np.double(weight_scale)) for weight_scale in weight_scales] else: - assert False, str(ifm_dtype) + " not implemented" + raise UnsupportedFeatureError( + "Compression of {} is not implemented; tensor: {}".format(ifm_dtype, tens.name) + ) # quantise all of the weight scales into (scale_factor, shift) if ifm_dtype == DataType.int16: |