elazarcoh
commented
1 year ago Hmm.. maybe it's a regression in the new version.
Can you provide me with:
- extension version
- torch version
- minimal reproducible example
Closed iNLyze closed 1 year ago
elazarcoh
commented
1 year ago Hmm.. maybe it's a regression in the new version.
Can you provide me with:
elazarcoh
commented
1 year ago Also, you can find the log under Output > View Image for Python, it can help. You might need to increase the verbosity in the settings of the extension.
iNLyze
commented
1 year ago Actually, I noticed, I can view the first four Tensor variables or so. After this any downstream Tensors will simply be ignored. The yellow light bulb won't show for them and I can't watch them in the Image Watch view.
Torch version: '1.13.1+cu117' Extension version: v3.0.0 Minimal example: In my example the images are provided through a dict. So I have a
img = batch["img"]
img_aug = batch["img_aug"]
coord_aug = batch["coord_aug"]
img_pos = batch["img_pos"]
label = batch["label"]
label_pos = batch["label_pos"]I can view up until, say, img_pos.
I am posting an example below.
Typical images are:
batch = {'ind': tensor([20547, 3695, 3241, 8605, 9354, 21599, 11628, 7024], device='cuda:0'), 'img': tensor([[[[ 0.6028, 1.3508, 2.0107, ..., -0.5410, -0.5850, -0.5410], [ 1.4827, 1.6147, 1.5707, ..., -0.5410, -0.4530, -0.5850], [ 1.0428, 1.8787, 0.8228, ..., -0.5850, -0.5850, -0.5410], ..., [-0.5850, -0.5850, -0.5850, ..., -0.5410, -0.4970, -0.5850], [-0.5850, -0.5850, -0.5850, ..., -0.5410, -0.5850, -0.4970], [-0.5410, -0.5850, -0.5850, ..., -0.4090, -0.5410, -0.4970]],
[[-0.0445, -0.5766, -0.5766, ..., -0.5471, -0.5471, -0.6062],
[ 0.3399, 0.3695, -0.5766, ..., -0.6062, -0.6062, -0.5175],
[-0.5175, -0.4288, -0.5471, ..., -0.6062, -0.6062, -0.3697],
...,
[-0.6062, -0.6062, -0.6062, ..., 0.4286, -0.4288, 0.4877],
[-0.6062, -0.6062, -0.6062, ..., -0.0149, 0.4582, 0.7243],
[-0.6062, -0.6062, -0.6062, ..., -0.3697, -0.1923, -0.1923]],
[[ 0.0353, -0.0742, -0.2932, ..., -0.3753, -0.3753, -0.3753],
[-0.0468, -0.2658, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.1837, -0.3479, -0.3753, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., 1.1027, 0.7743, 0.5827],
[-0.3753, -0.3753, -0.3753, ..., 1.0754, 0.9111, 0.7195],
[-0.3753, -0.3753, -0.3753, ..., 0.9111, 0.9933, 0.6374]]],
[[[ 0.4709, 0.1629, 1.6147, ..., -0.1891, 0.2509, 0.9988],
[ 2.0107, 2.0547, 0.6468, ..., 1.5707, 2.6706, 3.1545],
[ 0.5149, -0.0131, 0.9108, ..., 0.3389, -0.1451, -0.1891],
...,
[-0.4970, -0.4970, -0.4530, ..., 0.3829, -0.4530, -0.4970],
[-0.5410, -0.4970, -0.4530, ..., 0.6028, 0.2949, 0.2069],
[-0.4970, -0.5410, -0.4530, ..., -0.4970, -0.3211, -0.3211]],
[[-0.0149, -0.3697, -0.0445, ..., -0.1331, 0.0147, -0.0149],
[-0.1923, -0.0445, -0.1331, ..., 0.0442, 0.3990, -0.4584],
[-0.4288, -0.1923, 0.1625, ..., -0.4288, -0.5175, -0.4288],
...,
[-0.1627, -0.1627, -0.3105, ..., 0.6060, 1.1086, 1.3451],
[-0.0740, -0.0445, 0.1329, ..., 0.6356, 3.3556, 1.0791],
[ 0.1625, 0.0442, 0.1921, ..., 2.4391, 2.1139, 1.3156]],
[[-0.3753, -0.3753, -0.3753, ..., -0.3479, -0.3753, -0.3206],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3479, -0.3206],
[-0.3479, -0.3479, -0.3753, ..., -0.2932, -0.3753, -0.3206],
...,
[ 0.1995, 0.1174, -0.0742, ..., 2.0607, 1.3764, 2.4439],
[ 0.1995, 0.1995, -0.0742, ..., 0.7195, 1.5407, 2.8545],
[ 1.0754, 0.9659, 0.3363, ..., 0.3637, 1.1301, 2.4165]]],
[[[-0.5850, -0.5850, -0.5410, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5410, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5410, ..., -0.5850, -0.5850, -0.5850],
...,
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850]],
[[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.5766, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
...,
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.5766],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062]],
[[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753]]],
...,
[[[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
...,
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850]],
[[-0.6062, -0.5766, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
...,
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.5766, -0.6062, ..., -0.6062, -0.5766, -0.3697],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.5175]],
[[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753]]],
[[[ 1.0868, 0.7348, 1.0868, ..., 0.5149, 0.6468, 0.4709],
[ 0.7788, -0.0131, 1.0868, ..., -0.3211, 0.4269, 0.2509],
[ 1.9227, 1.5267, 2.0547, ..., 1.8787, 2.1867, 1.2628],
...,
[ 1.3947, 1.8347, 3.0666, ..., 3.1105, 2.5386, 0.2949],
[ 4.4744, 3.7705, 2.2746, ..., -0.2771, -0.2771, 0.2949],
[ 2.7146, 2.0987, 4.6064, ..., 2.4946, -0.4530, -0.5410]],
[[-0.5766, -0.6062, -0.5175, ..., -0.3105, -0.4584, 0.2808],
[-0.5471, -0.5471, -0.5471, ..., -0.4584, -0.6062, -0.3105],
[-0.0740, -0.5471, -0.6062, ..., -0.5471, -0.4288, -0.4879],
...,
[-0.6062, -0.6062, 0.0147, ..., -0.6062, -0.5471, -0.6062],
[-0.0740, -0.5766, -0.5766, ..., -0.5766, -0.5471, -0.6062],
[-0.2514, -0.5471, -0.4879, ..., -0.5471, -0.6062, -0.6062]],
[[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3206, -0.3479, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3479]]],
[[[ 0.1189, 1.3508, 0.8228, ..., 0.5588, 0.1629, -0.2331],
[ 1.3068, 1.1748, 2.0107, ..., 0.0309, -0.1011, -0.5410],
[ 0.2509, 0.2069, 0.3389, ..., 0.2069, -0.4970, -0.5410],
...,
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.4970, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850]],
[[-0.3105, -0.3697, -0.3401, ..., -0.4584, -0.5471, -0.4879],
[-0.1627, 0.0147, -0.5175, ..., -0.2218, -0.4584, -0.2218],
[-0.3105, -0.2218, -0.5471, ..., -0.4879, -0.4584, -0.6062],
...,
[-0.6062, -0.4879, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.4879, -0.6062, ..., -0.6062, -0.6062, -0.6062]],
[[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753]]]],
device='cuda:0'), 'label': tensor([[[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
...,
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1]],
[[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
...,
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1]],
[[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
...,
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1]],
...,
[[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
...,
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1]],
[[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
...,
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1]],
[[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
...,
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1],
[-1, -1, -1, ..., -1, -1, -1]]], device='cuda:0'), 'img_pos': tensor([[[[-0.5850, -0.5850, -0.5850, ..., -0.4970, -0.4530, -0.3211],
[-0.5850, -0.5850, -0.5850, ..., -0.4530, -0.1451, -0.2331],
[-0.5410, -0.5850, -0.5850, ..., 0.3389, 0.2069, 0.1189],
...,
[-0.4530, -0.4530, -0.1891, ..., -0.5850, -0.5850, -0.5410],
[-0.4970, -0.5410, -0.2771, ..., -0.5850, -0.5850, -0.5410],
[-0.4970, -0.3650, -0.3211, ..., -0.5410, -0.5850, -0.5850]],
[[-0.5766, -0.6062, -0.5766, ..., 0.2216, -0.2218, -0.3697],
[-0.6062, -0.6062, -0.6062, ..., 0.0442, -0.3697, 0.4582],
[-0.6062, -0.5766, -0.6062, ..., 0.1034, -0.3401, -0.1036],
...,
[-0.6062, -0.6062, -0.4288, ..., -0.6062, -0.6062, -0.6062],
[-0.5175, -0.5175, -0.4879, ..., -0.6062, -0.6062, -0.6062],
[-0.5175, -0.5766, -0.4288, ..., -0.5471, -0.6062, -0.6062]],
[[-0.3753, -0.3753, -0.3753, ..., 0.3090, 0.1174, 0.1721],
[-0.3753, -0.3753, -0.3753, ..., -0.0468, -0.1563, -0.1290],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3206, -0.2932],
...,
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753]]],
[[[ 0.9548, 1.1748, -0.4970, ..., 3.2865, 5.1343, 6.3662],
[ 1.6147, 1.0868, -0.4970, ..., 10.4137, 6.0582, 2.8026],
[ 0.3389, 1.9667, -0.0131, ..., 3.8145, 6.6301, 8.2579],
...,
[ 0.0309, 0.4269, 0.6028, ..., -0.5850, -0.5850, -0.5850],
[ 0.6028, 1.0428, 0.7348, ..., -0.5850, -0.5850, -0.5850],
[ 0.9988, 1.2628, 1.3068, ..., -0.5850, -0.5850, -0.5850]],
[[ 1.1086, 0.4286, 0.9608, ..., 0.4582, 0.0738, -0.1923],
[-0.1923, 0.1329, 0.4286, ..., 1.1382, -0.1923, -0.2810],
[-0.2218, 1.1678, 1.6999, ..., 0.3103, 0.3399, 2.3504],
...,
[-0.1923, -0.1923, -0.3105, ..., -0.6062, -0.6062, -0.6062],
[-0.3105, -0.3697, -0.3401, ..., -0.6062, -0.6062, -0.6062],
[ 0.3695, -0.0740, -0.3401, ..., -0.6062, -0.6062, -0.6062]],
[[-0.3479, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3479, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3479, -0.3479, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3479, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753]]],
[[[-0.5410, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5410, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5410],
[-0.5850, -0.5410, -0.5850, ..., -0.5850, -0.5850, -0.5850],
...,
[-0.5850, -0.5850, -0.5850, ..., -0.5850, -0.5850, -0.5850],
[-0.5410, -0.5850, -0.5850, ..., -0.5410, -0.5850, -0.5850],
[-0.5850, -0.5850, -0.5850, ..., -0.5410, -0.5850, -0.5850]],
[[-0.6062, -0.6062, -0.5766, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
...,
[-0.6062, -0.6062, -0.6062, ..., -0.5766, -0.5766, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062],
[-0.6062, -0.6062, -0.6062, ..., -0.6062, -0.6062, -0.6062]],
[[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753]]],
...,
[[[-0.5850, -0.5850, -0.5850, ..., -0.1451, 0.0309, 0.1629],
[-0.5410, -0.5850, -0.5850, ..., -0.4090, -0.4530, -0.1891],
[-0.5410, -0.5850, -0.5850, ..., -0.5410, -0.4090, -0.2331],
...,
[-0.4970, -0.4530, -0.3211, ..., -0.4530, -0.4090, -0.0131],
[-0.4090, -0.4530, -0.5410, ..., -0.4970, -0.5410, -0.3211],
[-0.4970, -0.4970, -0.4970, ..., -0.4530, -0.3650, -0.5410]],
[[-0.5175, -0.5766, -0.6062, ..., -0.5766, -0.5766, -0.5766],
[-0.3992, -0.5766, -0.6062, ..., -0.4288, -0.6062, -0.5175],
[-0.3697, -0.6062, -0.5766, ..., -0.6062, -0.6062, -0.5766],
...,
[-0.6062, -0.6062, -0.6062, ..., 2.2913, 0.5764, 3.1782],
[-0.6062, -0.6062, -0.5471, ..., 2.2913, 3.0895, 1.4338],
[-0.6062, -0.6062, -0.6062, ..., 5.4548, 1.4930, 0.8130]],
[[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
[-0.3753, -0.3753, -0.3753, ..., -0.3753, -0.3753, -0.3753],
...,
[-0.3753, -0.3753, -0.3753, ..., 1.1575, 1.4038, 1.5407],
[-0.3753, -0.3753, -0.3753, ..., 1.1848, 0.7469, 0.9933],
[-0.3753, -0.3753, -0.3753, ..., 0.4458, 0.8017, 1.1301]]],
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[ 0.9377, -0.8946],
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[ 0.9377, 0.9888],
[ 0.9377, 0.9925],
[ 0.9377, 0.9961]],
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[ 0.9413, -0.8946],
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[-0.9726, 0.9961],
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[-0.9726, -0.9766],
[-0.9726, -0.9804]],
[[-0.9689, 1.0000],
[-0.9689, 0.9961],
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...,
[-0.9689, -0.9727],
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[-0.9689, -0.9804]],
[[-0.9651, 1.0000],
[-0.9651, 0.9961],
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...,
[-0.9651, -0.9727],
[-0.9651, -0.9766],
[-0.9651, -0.9804]],
...,
[[ 0.9573, 1.0000],
[ 0.9573, 0.9961],
[ 0.9573, 0.9923],
...,
[ 0.9573, -0.9727],
[ 0.9573, -0.9766],
[ 0.9573, -0.9804]],
[[ 0.9610, 1.0000],
[ 0.9610, 0.9961],
[ 0.9610, 0.9923],
...,
[ 0.9610, -0.9727],
[ 0.9610, -0.9766],
[ 0.9610, -0.9804]],
[[ 0.9648, 1.0000],
[ 0.9648, 0.9961],
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...,
[ 0.9648, -0.9727],
[ 0.9648, -0.9766],
[ 0.9648, -0.9804]]]], device='cuda:0')}Thanks. This is helpful. Hopefully, I'll find the reason/solution soon.
iNLyze
commented
1 year ago Here is the output just after the issue occurred: view_image_output.zip
iNLyze
commented
1 year ago Hey, and great idea to this extension! I really appreciate your effort. This extension could be a big time saver.
elazarcoh
commented
1 year ago I think the issue was a cause of something else. Try the new release, 3.0.1 If there are still bugs, please let me know.
cattaneod
commented
1 year ago Sorry to open a closed issue, but I'd like to inform that the new update (3.0.1) broke the extension for me. Now variables and expressions are not shown in the image watch menu. If i try to "Refresh", I get this error:
Error running command svifpd.watch-refresh: Cannot read properties of undefined (reading 'isError'). This is likely caused by the extension that contributes svifpd.watch-refresh.
Reverting to 3.0.0 solve the issue.
elazarcoh
commented
1 year ago @cattaneod Thanks for reporting. Can you please open a new issue, with a minimal example if possible?
elazarcoh
commented
1 year ago @cattaneod (hopefully) fixed in version 3.0.2. Please let me know if there are more issues.
MYTHOFLEGEND
commented
1 year ago I also met this problem with version 3.0.2. Most of the times, the variables cannot show on IMAGE WATCH, sometimes they can show but with Not Ready status. And when I refresh it, I got this message:
运行命令 svifpd.watch-refresh 错误: Cannot read properties of undefined (reading 'isError')。这可能是由提交 svifpd.watch-refresh 的扩展引起的。
MYTHOFLEGEND
commented
1 year ago I am debugging on a server by ssh, maybe that's the reason I guess
elazarcoh
commented
1 year ago ssh shouldn't be a problem. Does it happens in a minimal example I can try myself? can you provide a log (there's a log in the Output tab, you might need to enable it in the settings).
MYTHOFLEGEND
commented
1 year ago I tried to change "Svifpd: Debug" this setting, but I can only get info like this:
运行命令 svifpd.watch-refresh 错误: Cannot read properties of undefined (reading 'isError')。这可能是由提交 svifpd.watch-refresh 的扩展引起的。
my vscode version is 1.76.2 win x64, and the server is centos7
elazarcoh
commented
1 year ago after setting it to verbose, look for it here:
MYTHOFLEGEND
commented
1 year ago MYTHOFLEGEND
commented
1 year ago maybe it is because tensorflow, when I try a normal script, it works fine
elazarcoh
commented
1 year ago Can you try install matplotlib? I know it should not be necessary to have, but there might be some bug in the code that assume it.
MYTHOFLEGEND
commented
1 year ago after I installed matplotlib, it works well 😂
elazarcoh
commented
1 year ago Great! Thanks for helping finding the issue!
Is it normal that PyTorch Tensors are not shown as images? I sometimes get "Error running command svifpd.watch-refresh: Cannot read properties of undefined (reading 'isError'). This is likely caused by the extension that contributes svifpd.watch-refresh." when I try.