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Added some preliminary unit tests to the CNNs 'quantize_model' #927

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merged 9 commits into from
Jul 29, 2024
Merged

Added some preliminary unit tests to the CNNs 'quantize_model' #927

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9d52931
Added some prelininary unit tests to the CNNs 'quantize_model'. We te…
OscarSavolainenDR Mar 30, 2024
182470b
We test po2 scale values, and have the negative bit widths fail.
OscarSavolainenDR Apr 13, 2024
990fe94
Updated to lastest dev
OscarSavolainenDR Apr 13, 2024
dca39f0
Added tests for symm/asym quantization, per_chan quantization, and st…
OscarSavolainenDR Apr 23, 2024
3feaaba
Remove unecessary inputs for minifloat
OscarSavolainenDR Apr 14, 2024
5616454
Removed minifloat tests
OscarSavolainenDR Apr 23, 2024
8df0536
Add tests for checking calibration percentile performance, and testin…
OscarSavolainenDR Apr 23, 2024
1f9e2f2
Fix default and condition
Giuseppe5 Jul 22, 2024
13ec5dd
Use Brevitas FX
Giuseppe5 Jul 23, 2024
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5 changes: 3 additions & 2 deletions src/brevitas_examples/imagenet_classification/ptq/ptq_common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -174,7 +174,7 @@ def quantize_model(
act_param_method='stats',
weight_quant_type='sym',
act_quant_granularity='per_tensor',
act_scale_computation_type='dynamic',
act_scale_computation_type='static',
uint_sym_act_for_unsigned_values=True,
dtype=torch.float32,
device='cpu'):
Expand All @@ -196,7 +196,7 @@ def quantize_model(
act_mantissa_bit_width,
act_exponent_bit_width)

if act_scale_computation_type == 'dynamic':
if act_scale_computation_type == 'dynamic' and backend != 'layerwise':
assert bias_bit_width is None, "Bias quantization is not supported with dynamic activation quantization"

weight_quant_format = quant_format
Expand Down Expand Up @@ -602,4 +602,5 @@ def check_positive_int(*args):
if arg is None:
continue
assert arg > 0.0
assert not math.isclose(arg, 0.0)
assert math.isclose(arg % 1, 0.0)
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