Krishna Vishal krishvishal
krishvishal
/ rdiff_test.jl
Created
August 11, 2020 11:01
This file has a function f(x) and I use ReverseDiff to calculate gradient of that function. If ReveseDiff is really the problem, this shouldn't run successfully.
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| using ReverseDiff | |
| f(x) = maximum(x;dims=1) | |
| if abspath(PROGRAM_FILE) == @__FILE__ | |
| x = rand(3, 3) | |
| println(x) | |
| println(ReverseDiff.gradient(sum∘f, x)) | |
| end |
krishvishal
/ getsize.py
Created
November 14, 2019 09:40
Size of a python object even with recursive encapsulation
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| def getsize(obj_0): | |
| """Recursively iterate to sum size of object & members.""" | |
| _seen_ids = set() | |
| def inner(obj): | |
| obj_id = id(obj) | |
| if obj_id in _seen_ids: | |
| return 0 | |
| _seen_ids.add(obj_id) | |
| size = sys.getsizeof(obj) | |
| if isinstance(obj, zero_depth_bases): |
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| from model import Net | |
| from trainer import Trainer | |
| import torch | |
| from torch import nn | |
| from matplotlib import pyplot as plt | |
| model = Net() | |
| ckpt = torch.load('path_to_checkpoint') | |
| model.load_state_dict(ckpt['state_dict']) | |
| filter = model.conv1.weight.data.numpy() |
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