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[[package]] | |
name = "atomicwrites" | |
version = "1.4.0" | |
description = "Atomic file writes." | |
category = "dev" | |
optional = false | |
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" | |
[[package]] | |
name = "attrs" |
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class IDS(torch.utils.data.IterableDataset): | |
def genxy(self): | |
for _ in range(10): | |
xs, ys = [], [] | |
for batch_idx in range(5): | |
xs.append(torch.zeros(2, 2) + batch_idx) | |
ys.append(torch.tensor(batch_idx)) | |
yield torch.stack(xs), torch.stack(ys) | |
def __iter__(self): | |
return iter(self.genxy()) |
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#!/bin/sh | |
git checkout v0.5.0 | |
python <<EOF | |
import pickle | |
import skorch | |
import skorch.toy |
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name: nuclei | |
channels: | |
- defaults | |
dependencies: | |
- appdirs=1.4.3=py36h28b3542_0 | |
- asn1crypto=0.24.0=py36_0 | |
- attrs=18.2.0=py36h28b3542_0 | |
- automat=0.7.0=py36_0 | |
- backcall=0.1.0=py36_0 | |
- blas=1.0=mkl |
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import torch | |
import pickle | |
ts = [torch.ones(10, 20) + n for n in range(4)] | |
diff = 0 | |
with open('tensor.pickle', 'wb') as f: | |
for t in ts: | |
start = f.tell() | |
torch.save(t, f) |