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Fix unused imports #3

Merged
merged 1 commit into from
Oct 3, 2017
Merged

Fix unused imports #3

merged 1 commit into from
Oct 3, 2017

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@lenguyenthedat
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@lenguyenthedat lenguyenthedat commented Oct 3, 2017

  • Remove unused imports
  • Remove the need of context.py file (it's quite confusing to use and will throw flake8 / pep8 off)

Unit test log:

(the failures are because of Torch not compiled with CUDA enabled)

$ python3 -m unittest test/data_layer_tests.py
Test 1 started
Total items found: 163
.Total items found: 163
0
torch.Size([32, 19547])
1
torch.Size([32, 19547])
2
torch.Size([32, 19547])
3
torch.Size([32, 19547])
4
torch.Size([32, 19547])
.
----------------------------------------------------------------------
Ran 2 tests in 0.199s

OK

$ python3 -m unittest test/test_model.py
iRecAutoEncoderTest Test on  CPU started
Vector dim: 19547
Total items found: 163
******************************
******************************
[19547, 256, 128]
Dropout drop probability: 0.0
Encoder pass:
torch.Size([256, 19547])
torch.Size([256])
torch.Size([128, 256])
torch.Size([128])
Decoder pass:
Decoder is constrained
torch.Size([256, 128])
torch.Size([256])
torch.Size([19547, 256])
torch.Size([19547])
******************************
******************************
AutoEncoder (
  (encode_w): ParameterList (
  )
  (encode_b): ParameterList (
  )
  (decode_b): ParameterList (
  )
)
<generator object Module.parameters at 0x10fefb990>
[0,     0] loss: 13.7627230
[0,     1] loss: 15.5718050
[1,     0] loss: 14.1457729
[1,     1] loss: 14.2564306
[2,     0] loss: 14.7592907
[2,     1] loss: 13.3936634
[3,     0] loss: 13.4373884
[3,     1] loss: 13.8697548
[4,     0] loss: 12.5413427
[4,     1] loss: 13.3834724
[5,     0] loss: 12.0962524
[5,     1] loss: 10.2871866
[6,     0] loss: 11.9361048
[6,     1] loss: 12.7510881
[7,     0] loss: 11.2688084
[7,     1] loss: 8.9151201
[8,     0] loss: 6.6534214
[8,     1] loss: 10.7530689
[9,     0] loss: 5.4654245
[9,     1] loss: 8.7021055
[10,     0] loss: 4.8678174
[10,     1] loss: 8.9395142
[11,     0] loss: 8.0163450
[11,     1] loss: 5.3523836
[12,     0] loss: 4.6805806
[12,     1] loss: 5.7746768
[13,     0] loss: 4.6549287
[13,     1] loss: 4.6210918
[14,     0] loss: 4.5356889
[14,     1] loss: 3.7206159
[15,     0] loss: 3.3543446
[15,     1] loss: 3.7410641
[16,     0] loss: 5.0429521
[16,     1] loss: 2.9728928
[17,     0] loss: 3.3243787
[17,     1] loss: 2.6175928
[18,     0] loss: 2.3361208
[18,     1] loss: 2.8326197
[19,     0] loss: 3.0278883
[19,     1] loss: 2.6812475
.iRecAutoEncoderTest Test on GPU started
Total items found: 163
******************************
******************************
[19547, 1024, 512, 512, 512, 512, 128]
Dropout drop probability: 0.0
Encoder pass:
torch.Size([1024, 19547])
torch.Size([1024])
torch.Size([512, 1024])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([128, 512])
torch.Size([128])
Decoder pass:
Decoder is constrained
torch.Size([512, 128])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([1024, 512])
torch.Size([1024])
torch.Size([19547, 1024])
torch.Size([19547])
******************************
******************************
FuRecAutoEncoderTest Test on  CPU started
Vector dim: 11259
Total items found: 97618
******************************
******************************
[11259, 128, 11259]
Dropout drop probability: 0.0
Encoder pass:
torch.Size([128, 11259])
torch.Size([128])
torch.Size([11259, 128])
torch.Size([11259])
Decoder pass:
Decoder is constrained
torch.Size([128, 11259])
torch.Size([128])
torch.Size([11259, 128])
torch.Size([11259])
******************************
******************************
[0,     0] loss: 10.4307327
[0,     1] loss: 11.3560009
[0,     2] loss: 10.5129652
[0,     3] loss: 10.8210392
[0,     4] loss: 10.5824280
[0,     5] loss: 9.0050182
.uRecAutoEncoderTest Test on GPU started
Total items found: 97618
******************************
******************************
[11259, 1024, 512, 512, 128]
Dropout drop probability: 0.0
Encoder pass:
torch.Size([1024, 11259])
torch.Size([1024])
torch.Size([512, 1024])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([128, 512])
torch.Size([128])
Decoder pass:
Decoder is constrained
torch.Size([512, 128])
torch.Size([512])
torch.Size([512, 512])
torch.Size([512])
torch.Size([1024, 512])
torch.Size([1024])
torch.Size([11259, 1024])
torch.Size([11259])
******************************
******************************
F
======================================================================
FAIL: test_GPU (test.test_model.iRecAutoEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/intoth3rainbow/Dropbox/GitHub/cabinet/DeepRecommender/test/test_model.py", line 45, in test_GPU
    encoder.cuda()
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 147, in cuda
    return self._apply(lambda t: t.cuda(device_id))
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 118, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 124, in _apply
    param.data = fn(param.data)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 147, in <lambda>
    return self._apply(lambda t: t.cuda(device_id))
  File "/usr/local/lib/python3.6/site-packages/torch/_utils.py", line 66, in _cuda
    return new_type(self.size()).copy_(self, async)
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 266, in _lazy_new
    _lazy_init()
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 84, in _lazy_init
    _check_driver()
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 51, in _check_driver
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

======================================================================
FAIL: test_GPU (test.test_model.uRecAutoEncoderTest)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/Users/intoth3rainbow/Dropbox/GitHub/cabinet/DeepRecommender/test/test_model.py", line 97, in test_GPU
    encoder.cuda()
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 147, in cuda
    return self._apply(lambda t: t.cuda(device_id))
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 118, in _apply
    module._apply(fn)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 124, in _apply
    param.data = fn(param.data)
  File "/usr/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 147, in <lambda>
    return self._apply(lambda t: t.cuda(device_id))
  File "/usr/local/lib/python3.6/site-packages/torch/_utils.py", line 66, in _cuda
    return new_type(self.size()).copy_(self, async)
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 266, in _lazy_new
    _lazy_init()
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 84, in _lazy_init
    _check_driver()
  File "/usr/local/lib/python3.6/site-packages/torch/cuda/__init__.py", line 51, in _check_driver
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled

----------------------------------------------------------------------
Ran 4 tests in 7.768s

FAILED (failures=2)

@okuchaiev
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okuchaiev commented Oct 3, 2017

Looks good. Thanks!

@okuchaiev okuchaiev merged commit 2c58d27 into NVIDIA:master Oct 3, 2017
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2 participants

@lenguyenthedat @okuchaiev