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Update outdated regression files
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Signed-off-by: Fabrice Normandin <normandf@mila.quebec>
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@lebrice
lebrice committed Dec 3, 2024
1 parent 04efc2c commit 9d848da
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Showing 65 changed files with 11,334 additions and 11,388 deletions.
68 changes: 34 additions & 34 deletions ...ge_classifier_test/test_backward_pass_is_reproducible/fcnet_cifar10_image_classifier.yaml
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@@ -1,14 +1,14 @@
batch.0:
device: cuda:0
max: '2.126e+00'
mean: '-6.179e-03'
mean: '6.869e-03'
min: '-1.989e+00'
shape:
- 128
- 3
- 32
- 32
sum: '-2.43e+03'
sum: '2.701e+03'
batch.1:
device: cuda:0
max: 9
Expand All @@ -19,71 +19,71 @@ batch.1:
sum: 583
grads.network.0.1.bias:
device: cuda:0
max: '6.107e-03'
mean: '1.775e-04'
min: '-5.292e-03'
max: '5.928e-03'
mean: '3.020e-04'
min: '-3.916e-03'
shape:
- 128
sum: '2.272e-02'
sum: '3.866e-02'
grads.network.0.1.weight:
device: cuda:0
max: '1.307e-02'
mean: '4.693e-05'
min: '-1.141e-02'
max: '1.229e-02'
mean: '1.095e-04'
min: '-1.115e-02'
shape:
- 128
- 3072
sum: '1.845e+01'
sum: '4.306e+01'
grads.network.1.0.bias:
device: cuda:0
max: '1.041e-02'
mean: '6.975e-04'
min: '-8.782e-03'
max: '1.187e-02'
mean: '6.403e-04'
min: '-9.623e-03'
shape:
- 128
sum: '8.928e-02'
sum: '8.196e-02'
grads.network.1.0.weight:
device: cuda:0
max: '1.584e-02'
mean: '1.481e-04'
min: '-1.507e-02'
max: '1.566e-02'
mean: '1.344e-04'
min: '-1.467e-02'
shape:
- 128
- 128
sum: '2.426e+00'
sum: '2.202e+00'
grads.network.2.0.bias:
device: cuda:0
max: '3.282e-02'
mean: '-1.956e-09'
min: '-2.134e-02'
max: '3.269e-02'
mean: '-2.887e-09'
min: '-2.157e-02'
shape:
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sum: '-1.956e-08'
sum: '-2.887e-08'
grads.network.2.0.weight:
device: cuda:0
max: '2.200e-02'
mean: '-2.561e-10'
min: '-5.831e-02'
max: '2.914e-02'
mean: '-2.98e-10'
min: '-3.501e-02'
shape:
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- 128
sum: '-3.278e-07'
sum: '-3.814e-07'
outputs.logits:
device: cuda:0
max: '7.036e-01'
mean: '-8.651e-03'
min: '-8.180e-01'
max: '8.135e-01'
mean: '-8.627e-03'
min: '-7.944e-01'
shape:
- 128
- 10
sum: '-1.107e+01'
sum: '-1.104e+01'
outputs.loss:
device: cuda:0
max: '2.316e+00'
mean: '2.316e+00'
min: '2.316e+00'
max: '2.319e+00'
mean: '2.319e+00'
min: '2.319e+00'
shape: []
sum: '2.316e+00'
sum: '2.319e+00'
outputs.y:
device: cuda:0
max: 9
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68 changes: 34 additions & 34 deletions ...ssifier_test/test_backward_pass_is_reproducible/fcnet_fashion_mnist_image_classifier.yaml
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@@ -1,14 +1,14 @@
batch.0:
device: cuda:0
max: '2.821e+00'
mean: '4.822e-01'
mean: '4.772e-01'
min: '-4.242e-01'
shape:
- 128
- 1
- 28
- 28
sum: '4.839e+04'
sum: '4.789e+04'
batch.1:
device: cuda:0
max: 9
Expand All @@ -19,71 +19,71 @@ batch.1:
sum: 583
grads.network.0.1.bias:
device: cuda:0
max: '6.875e-03'
mean: '2.096e-04'
min: '-8.370e-03'
max: '7.419e-03'
mean: '4.543e-04'
min: '-4.832e-03'
shape:
- 128
sum: '2.683e-02'
sum: '5.816e-02'
grads.network.0.1.weight:
device: cuda:0
max: '1.948e-02'
mean: '2.916e-04'
min: '-2.213e-02'
max: '1.735e-02'
mean: '2.23e-04'
min: '-1.552e-02'
shape:
- 128
- 784
sum: '2.926e+01'
sum: '2.238e+01'
grads.network.1.0.bias:
device: cuda:0
max: '1.109e-02'
mean: '2.213e-04'
min: '-1.267e-02'
max: '1.157e-02'
mean: '2.873e-04'
min: '-1.017e-02'
shape:
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sum: '2.832e-02'
sum: '3.678e-02'
grads.network.1.0.weight:
device: cuda:0
max: '2.374e-02'
mean: '9.326e-05'
min: '-2.32e-02'
max: '2.752e-02'
mean: '1.217e-04'
min: '-3.079e-02'
shape:
- 128
- 128
sum: '1.528e+00'
sum: '1.994e+00'
grads.network.2.0.bias:
device: cuda:0
max: '3.847e-02'
mean: '-3.353e-09'
min: '-4.706e-02'
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mean: '-9.313e-10'
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shape:
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sum: '-3.353e-08'
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grads.network.2.0.weight:
device: cuda:0
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mean: '-3.929e-10'
min: '-6.431e-02'
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mean: '-2.085e-10'
min: '-6.661e-02'
shape:
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sum: '-5.029e-07'
sum: '-2.668e-07'
outputs.logits:
device: cuda:0
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mean: '-1.288e-02'
min: '-7.225e-01'
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mean: '-1.669e-02'
min: '-6.486e-01'
shape:
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sum: '-1.648e+01'
sum: '-2.136e+01'
outputs.loss:
device: cuda:0
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mean: '2.311e+00'
min: '2.311e+00'
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mean: '2.309e+00'
min: '2.309e+00'
shape: []
sum: '2.311e+00'
sum: '2.309e+00'
outputs.y:
device: cuda:0
max: 9
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66 changes: 33 additions & 33 deletions ...mage_classifier_test/test_backward_pass_is_reproducible/fcnet_mnist_image_classifier.yaml
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Original file line number Diff line number Diff line change
@@ -1,14 +1,14 @@
batch.0:
device: cuda:0
max: '2.821e+00'
mean: '1.432e-02'
mean: '1.477e-02'
min: '-4.242e-01'
shape:
- 128
- 1
- 28
- 28
sum: '1.437e+03'
sum: '1.482e+03'
batch.1:
device: cuda:0
max: 9
Expand All @@ -19,71 +19,71 @@ batch.1:
sum: 543
grads.network.0.1.bias:
device: cuda:0
max: '1.075e-02'
mean: '2.421e-04'
min: '-7.844e-03'
max: '8.396e-03'
mean: '1.867e-04'
min: '-6.027e-03'
shape:
- 128
sum: '3.099e-02'
sum: '2.389e-02'
grads.network.0.1.weight:
device: cuda:0
max: '2.006e-02'
mean: '5.258e-05'
min: '-1.844e-02'
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mean: '4.891e-05'
min: '-1.587e-02'
shape:
- 128
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sum: '5.277e+00'
sum: '4.909e+00'
grads.network.1.0.bias:
device: cuda:0
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min: '-1.152e-02'
shape:
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sum: '5.485e-02'
sum: '9.138e-03'
grads.network.1.0.weight:
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mean: '1.016e-04'
min: '-2.219e-02'
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mean: '3.114e-05'
min: '-1.955e-02'
shape:
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sum: '1.665e+00'
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grads.network.2.0.bias:
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mean: '-1.490e-09'
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shape:
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grads.network.2.0.weight:
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min: '-6.755e-02'
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mean: '-9.604e-11'
min: '-4.695e-02'
shape:
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- 128
sum: '-2.468e-07'
sum: '-1.229e-07'
outputs.logits:
device: cuda:0
max: '7.029e-01'
mean: '-3.564e-02'
min: '-7.781e-01'
max: '6.222e-01'
mean: '-3.729e-02'
min: '-6.079e-01'
shape:
- 128
- 10
sum: '-4.562e+01'
sum: '-4.773e+01'
outputs.loss:
device: cuda:0
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mean: '2.304e+00'
min: '2.304e+00'
max: '2.308e+00'
mean: '2.308e+00'
min: '2.308e+00'
shape: []
sum: '2.304e+00'
sum: '2.308e+00'
outputs.y:
device: cuda:0
max: 9
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