diff options
Diffstat (limited to 'ethosu/vela/weight_compressor.py')
| -rw-r--r-- | ethosu/vela/weight_compressor.py | 8 |
1 files changed, 2 insertions, 6 deletions
diff --git a/ethosu/vela/weight_compressor.py b/ethosu/vela/weight_compressor.py index fce17d19..188b16ad 100644 --- a/ethosu/vela/weight_compressor.py +++ b/ethosu/vela/weight_compressor.py @@ -452,18 +452,14 @@ def calc_scales_and_pack_biases(tens, arch, ofm_depth_step, rescale_for_faf=Fals for weight_scale in weight_scales ] else: - raise UnsupportedFeatureError( - "Compression of {} is not implemented; tensor: {}".format(ifm_dtype, tens.name) - ) + raise UnsupportedFeatureError(f"Compression of {ifm_dtype} is not implemented; Tensor: '{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: - raise UnsupportedFeatureError( - "Compression of {} is not implemented; tensor: {}".format(ifm_dtype, tens.name) - ) + raise UnsupportedFeatureError(f"Compression of {ifm_dtype} is not implemented; Tensor: '{tens.name}'") # quantise all of the weight scales into (scale_factor, shift) if ifm_dtype == DataType.int16: |