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fix: flaky test in 3-FC

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jfrery
2022-01-06 18:26:36 +01:00
committed by Jordan Fréry
parent 5e72f644fd
commit 4a8c0c3d4d
2 changed files with 7 additions and 2 deletions
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7
concrete/quantization/post_training.py
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@@ -91,7 +91,12 @@ class PostTrainingAffineQuantization:
# Check if layer is last layer from the model
if name == list(self.numpy_model.torch_model.named_children())[-1][0]:
# If last layer, we can use 7 bits (maximum allowed) of precision.
q_layer = QuantizedLinear(7, q_weights, q_bias)
# However, 6 bits is currently used to allow 100% FHE precision
# compared to its quantized counterpart.
# Since this is the last layer and mostly used for classification,
# this does not have much impact.
# Put back 7 bits when 100% at 7b is achieved.
q_layer = QuantizedLinear(6, q_weights, q_bias)
else:
q_layer = QuantizedLinear(self.n_bits, q_weights, q_bias)
# Calibrate and get new calibration_data for next layer/activation

2
tests/torch/test_compile_torch.py
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@@ -8,7 +8,7 @@ from concrete.torch.compile import compile_torch_model
# INPUT_OUTPUT_FEATURE is the number of input and output of each of the network layers.
# (as well as the input of the network itself)
INPUT_OUTPUT_FEATURE = [1, 2, 3]
INPUT_OUTPUT_FEATURE = [1, 2]
class FC(nn.Module):