Sam Gross colesbury
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| => creating model 'vgg11' | |
| Epoch: [0][0/5005] Time 25.966 (25.966) Data 3.152 (3.152) Loss 6.9137 (6.9137) Prec@1 0.000 (0.000) Prec@5 0.391 (0.391) | |
| Epoch: [0][10/5005] Time 0.314 (2.637) Data 0.000 (0.287) Loss 6.9071 (6.9136) Prec@1 0.000 (0.142) Prec@5 1.172 (0.568) | |
| Epoch: [0][20/5005] Time 0.320 (1.534) Data 0.000 (0.150) Loss 6.9173 (6.9126) Prec@1 0.000 (0.130) Prec@5 0.781 (0.484) | |
| Epoch: [0][30/5005] Time 0.320 (1.143) Data 0.000 (0.102) Loss 6.8996 (6.9119) Prec@1 0.781 (0.126) Prec@5 0.781 (0.466) | |
| Epoch: [0][40/5005] Time 0.320 (0.942) Data 0.000 (0.077) Loss 6.9102 (6.9114) Prec@1 0.000 (0.133) Prec@5 0.391 (0.553) | |
| Epoch: [0][50/5005] Time 0.318 (0.821) Data 0.000 (0.062) Loss 6.9081 (6.9111) Prec@1 0.000 (0.115) Prec@5 0.781 (0.521) | |
| Epoch: [0][60/5005] Time 0.323 (0.739) Data 0.000 (0.052) Loss 6.9033 (6.9108) Prec@1 0.000 (0.109) Prec@5 0.391 (0.519) | |
| Epoch: [0][70/5005] Time 0.321 (0.680) Data 0.000 (0.045) Loss 6.9115 (6.9102) Prec@1 0.000 (0.105) Prec@5 0.391 (0.534) | |
| Epoch: [0][80/5005] Time 0.32 |
colesbury
/ vgg13.stdout.txt
Created
March 15, 2017 18:20
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| => creating model 'vgg13' | |
| Epoch: [0][0/5005] Time 26.690 (26.690) Data 2.100 (2.100) Loss 6.9093 (6.9093) Prec@1 0.000 (0.000) Prec@5 0.781 (0.781) | |
| Epoch: [0][10/5005] Time 0.460 (2.827) Data 0.000 (0.191) Loss 6.9168 (6.9125) Prec@1 0.000 (0.071) Prec@5 0.391 (0.426) | |
| Epoch: [0][20/5005] Time 0.457 (1.698) Data 0.000 (0.100) Loss 6.9116 (6.9104) Prec@1 0.000 (0.112) Prec@5 0.391 (0.428) | |
| Epoch: [0][30/5005] Time 0.457 (1.298) Data 0.000 (0.068) Loss 6.9090 (6.9097) Prec@1 0.000 (0.076) Prec@5 0.391 (0.428) | |
| Epoch: [0][40/5005] Time 0.453 (1.093) Data 0.000 (0.052) Loss 6.9074 (6.9097) Prec@1 0.000 (0.124) Prec@5 0.391 (0.467) | |
| Epoch: [0][50/5005] Time 0.452 (0.968) Data 0.000 (0.042) Loss 6.9094 (6.9094) Prec@1 0.000 (0.107) Prec@5 0.000 (0.475) | |
| Epoch: [0][60/5005] Time 0.453 (0.884) Data 0.000 (0.035) Loss 6.9074 (6.9094) Prec@1 0.391 (0.109) Prec@5 1.562 (0.455) | |
| Epoch: [0][70/5005] Time 0.460 (0.824) Data 0.000 (0.030) Loss 6.9094 (6.9092) Prec@1 0.000 (0.105) Prec@5 0.391 (0.484) | |
| Epoch: [0][80/5005] Time 0.45 |
colesbury
/ vgg16.stdout.txt
Created
March 16, 2017 02:42
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| => creating model 'vgg16' | |
| Epoch: [0][0/5005] Time 28.278 (28.278) Data 2.122 (2.122) Loss 6.9099 (6.9099) Prec@1 0.000 (0.000) Prec@5 0.391 (0.391) | |
| Epoch: [0][10/5005] Time 0.540 (3.038) Data 0.000 (0.193) Loss 6.9197 (6.9131) Prec@1 0.391 (0.036) Prec@5 1.172 (0.604) | |
| Epoch: [0][20/5005] Time 0.538 (1.845) Data 0.000 (0.101) Loss 6.9122 (6.9120) Prec@1 0.391 (0.093) Prec@5 0.391 (0.558) | |
| Epoch: [0][30/5005] Time 0.534 (1.422) Data 0.000 (0.069) Loss 6.9107 (6.9109) Prec@1 0.000 (0.076) Prec@5 0.000 (0.479) | |
| Epoch: [0][40/5005] Time 0.538 (1.206) Data 0.000 (0.052) Loss 6.9119 (6.9104) Prec@1 0.000 (0.076) Prec@5 0.781 (0.495) | |
| Epoch: [0][50/5005] Time 0.532 (1.074) Data 0.000 (0.042) Loss 6.9075 (6.9097) Prec@1 0.391 (0.069) Prec@5 0.391 (0.467) | |
| Epoch: [0][60/5005] Time 0.535 (0.985) Data 0.000 (0.035) Loss 6.9083 (6.9096) Prec@1 0.391 (0.077) Prec@5 0.781 (0.455) | |
| Epoch: [0][70/5005] Time 0.531 (0.922) Data 0.000 (0.030) Loss 6.9058 (6.9091) Prec@1 0.000 (0.077) Prec@5 0.391 (0.446) | |
| Epoch: [0][80/5005] Time 0.53 |
colesbury
/ vgg19.stdout.txt
Created
March 16, 2017 14:08
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| => creating model 'vgg19' | |
| Epoch: [0][0/5005] Time 26.047 (26.047) Data 3.729 (3.729) Loss 6.9086 (6.9086) Prec@1 0.000 (0.000) Prec@5 0.781 (0.781) | |
| Epoch: [0][10/5005] Time 0.618 (2.901) Data 0.000 (0.339) Loss 6.9131 (6.9109) Prec@1 0.000 (0.107) Prec@5 0.781 (0.355) | |
| Epoch: [0][20/5005] Time 0.606 (1.811) Data 0.000 (0.178) Loss 6.9147 (6.9107) Prec@1 0.000 (0.074) Prec@5 0.391 (0.465) | |
| Epoch: [0][30/5005] Time 0.614 (1.425) Data 0.000 (0.121) Loss 6.9071 (6.9101) Prec@1 0.000 (0.088) Prec@5 0.391 (0.466) | |
| Epoch: [0][40/5005] Time 0.614 (1.226) Data 0.001 (0.091) Loss 6.9108 (6.9097) Prec@1 0.000 (0.076) Prec@5 0.391 (0.467) | |
| Epoch: [0][50/5005] Time 0.620 (1.106) Data 0.000 (0.074) Loss 6.9059 (6.9094) Prec@1 0.000 (0.061) Prec@5 0.000 (0.414) | |
| Epoch: [0][60/5005] Time 0.616 (1.025) Data 0.000 (0.062) Loss 6.9076 (6.9091) Prec@1 0.391 (0.077) Prec@5 0.781 (0.474) | |
| Epoch: [0][70/5005] Time 0.621 (0.967) Data 0.000 (0.053) Loss 6.9082 (6.9089) Prec@1 0.000 (0.072) Prec@5 0.781 (0.462) | |
| Epoch: [0][80/5005] Time 0.61 |
colesbury
/ upload_pytorch_model.py
Created
May 31, 2017 16:45
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| import torch | |
| import sys | |
| import subprocess | |
| import tempfile | |
| import tinys3 | |
| import shutil | |
| import os | |
| def main(): |
colesbury
/ VariableType.cpp.diff
Created
October 21, 2017 11:32
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| --- VariableType.cpp 2017-10-21 04:32:34.984221040 -0700 | |
| +++ ./torch/csrc/autograd/generated/VariableType.cpp 2017-10-21 04:32:46.720255617 -0700 | |
| @@ -173,12 +173,61 @@ | |
| return make_variable(std::move(tensor)); | |
| } | |
| -static void check_inplace(const VariableImpl& pImpl) { | |
| - if (pImpl.requires_grad && !pImpl.grad_fn) { | |
| +struct VariableFlags { | |
| + bool requires_grad; |
colesbury
/ VariableType.cpp.diff
Last active
November 2, 2017 18:42
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| --- ./torch/csrc/autograd/generated/VariableType.cpp 2017-11-02 11:42:00.179695310 -0700 | |
| +++ VariableType.cpp 2017-11-02 11:41:41.932641407 -0700 | |
| @@ -181,6 +181,13 @@ | |
| return make_variable(std::move(tensor)); | |
| } | |
| +Variable VariableType::maybe_wrap(Tensor data, const Variable & self, bool inplace) const { | |
| + if (inplace) { | |
| + return self; | |
| + } |
colesbury
/ packed_sequence.diff
Created
November 9, 2017 17:00
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| commit 8f491cadf7b01468acc37ab749cdcac8133b8856 | |
| Author: Sam Gross <[email protected]> | |
| Date: Thu Nov 9 08:34:32 2017 -0800 | |
| WIP: packed sequence | |
| diff --git a/test/test_nn.py b/test/test_nn.py | |
| index 3e65a25..995af82 100644 | |
| --- a/test/test_nn.py | |
| +++ b/test/test_nn.py |
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| diff --git a/tools/autograd/gen_variable_type.py b/tools/autograd/gen_variable_type.py | |
| index 3378d3b..05ac18f 100644 | |
| --- a/tools/autograd/gen_variable_type.py | |
| +++ b/tools/autograd/gen_variable_type.py | |
| @@ -401,7 +401,7 @@ def preprocess_nn_functions(declarations): | |
| autograd_functions = [] | |
| for declaration in declarations: | |
| name = declaration['name'] | |
| - if name == 'batch_norm' or 'conv' in name: | |
| + if name == 'batch_norm' or 'conv3d' in name: |
colesbury
/ autograd.cpp.diff
Created
November 21, 2017 23:58
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| diff --git a/autograd.cpp b/autograd.cpp | |
| index aa849d6..5c3896b 100644 | |
| --- a/autograd.cpp | |
| +++ b/autograd.cpp | |
| @@ -9,7 +9,7 @@ tag::Engine engine; | |
| void backward(Variable loss, bool keep_graph) { | |
| tag::function_list funclst; | |
| funclst.emplace_back(loss.grad_fn(), loss.output_nr()); | |
| - detail::engine.execute(funclst, {Var(at::ones_like(loss.data()))}, false); | |
| + detail::engine.execute(funclst, {Var(at::ones_like(loss.data()), false, true)}, false); |
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