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Update dynamic quantization tutorial #693

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Merged
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Oct 10, 2019
Merged

Update dynamic quantization tutorial #693

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8 changes: 8 additions & 0 deletions advanced_source/dynamic_quantization_tutorial.py
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Original file line number Diff line number Diff line change
Expand Up @@ -269,6 +269,11 @@ def print_size_of_model(model):

######################################################################
# Second, we see faster inference time, with no difference in evaluation loss:
#
# Note: we number of threads to one for single threaded comparison, since quantized
# models run single threaded.

torch.set_num_threads(1)

def time_model_evaluation(model, test_data):
s = time.time()
Expand All @@ -280,6 +285,9 @@ def time_model_evaluation(model, test_data):
time_model_evaluation(quantized_model, test_data)

######################################################################
# Running this locally on a MacBook Pro, without quantization, inference takes about 200 seconds,
# and with quantization it takes just about 100 seconds.
#
# Conclusion
# ----------
#
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