Adding Jit profile #150
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Adding Jit profile #150
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HaoKang-Timmy
commented
Oct 10, 2021
HaoKang-Timmy
commented
- Adding class JitProfile, which can count macs and params
- fix some bugs in counter
count_Transformer for nn.Transformer
The answer is 2.76945964418343e+25 44151808.0.
no embeding ** 2
For one word, about 25G flops and 44M parameters
Lyken17
reviewed
Oct 11, 2021
| @@ -12,11 +12,11 @@ def count_parameters(m, x, y): | |||
| total_params = 0 | |||
| for p in m.parameters(): | |||
| total_params += torch.DoubleTensor([p.numel()]) | |||
| m.total_params[0] = total_params | |||
| m.total_params[0] = counter_parameters(m.parameters()) | |||
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Why call count_parameters() here? total_params already provides the number of parameters of the model.
Lyken17
reviewed
Oct 11, 2021
| results = dict() | ||
| graph = trace(model, args) | ||
| for node in graph.nodes: | ||
| for operators, func in handlers: |
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This is an O(N) operation and will become slow when the number of handlers increases. I suggest to rework it to dictionary.
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