ikzk / persia-pytorch-toolkit (public) (License: proprietary) (since 2019-01-07) (hash sha1)
Xiangru's personal toolkit
Clone URLs: https://rocketgit.com/user/ikzk/persia-pytorch-toolkit ssh://rocketgit@ssh.rocketgit.com/user/ikzk/persia-pytorch-toolkit git://git.rocketgit.com/user/ikzk/persia-pytorch-toolkit
master
List of commits:
Subject Hash Author Date (UTC)
fix 1ed58b687a60985cd23721b0189a22429f3d1fe4 Xiangru Lian 2019-01-09 21:52:01
add reset to auc estimator 333badd5489e538b0ee9b5441331322ba72d3981 Xiangru Lian 2019-01-08 21:17:22
add riemann auc estimator 8ce1b37008f10d6ca825728b1d0106b03bb0529d Xiangru Lian 2019-01-08 21:11:27
fix d4f0a50ffb6afea07df425d759fdf8460839d0ce Xiangru Lian 2019-01-07 22:27:56
add numpy support 2e10283edfc427ea4da6a76c8c3a6f85a44bace4 Xiangru Lian 2019-01-07 22:24:12
update fcfc8a26e275395688fb3fa50538f890c1f612e4 Xiangru Lian 2019-01-07 21:55:04
use markdown for readme f46e30761b4f361d5494484d9bdb20dc04a20d83 Xiangru Lian 2019-01-07 21:53:46
add readme a9a0b91ea0e0485039ea76b6b69c5f983815e8a3 Xiangru Lian 2019-01-07 21:52:31
fix 16a965862eaefa554a540fd2eeee26f73907d5dd Xiangru Lian 2019-01-07 21:37:12
fix setup.py 24e85045cc859ffa7d6f514c80257fde94c0794a Xiangru Lian 2019-01-07 21:35:15
compatible with setup.py 657782ac87ea9251f2e3726b483089eca5384caf Xiangru Lian 2019-01-07 21:33:48
initial commit 27cb0b3b4f5f20240af6d14ead4f373a1aaa5343 Xiangru Lian 2019-01-07 21:26:20
Update .gitignore 52642556fea807b773617938eecd2d9d17f34bc6 ikzk 2019-01-07 20:16:37
Commit 1ed58b687a60985cd23721b0189a22429f3d1fe4 - fix
Author: Xiangru Lian
Author date (UTC): 2019-01-09 21:52
Committer name: Xiangru Lian
Committer date (UTC): 2019-01-09 21:52
Parent(s): 333badd5489e538b0ee9b5441331322ba72d3981
Signing key:
Tree: c790244996d883ef6c2de3ca4bd5d17c22060468
File Lines added Lines deleted
persia_pytorch_toolkit/tensor_utils.py 2 2
File persia_pytorch_toolkit/tensor_utils.py changed (mode: 100644) (index 946ff2a..4899dc5)
... ... def to_device(container, device):
27 27
28 28 def _numpy_dtype_to_torch_dtype(dtype: np.dtype): def _numpy_dtype_to_torch_dtype(dtype: np.dtype):
29 29 t = dtype.type t = dtype.type
30 if t is np.float64:
30 if t is np.float64 or t is np.float32:
31 31 return torch.float return torch.float
32 elif t is np.int64:
32 elif t is np.int64 or t is np.int32:
33 33 return torch.long return torch.long
34 34 else: else:
35 35 raise Exception("Unknown numpy dtype: " + str(t)) raise Exception("Unknown numpy dtype: " + str(t))
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