You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Jun 29, 2019. It is now read-only.
Environment:
Windows 10 x64
Python 3.5.2
Keras 2.1.1
CNTK CPU-Only 2.3
Outputs:
PS F:\Study\LuisSentimentAnalysis> az ml experiment submit -c local SentimentExtraction.py
RunId: LuisSentimentAnalysis_1511486594580
Executing user inputs .....
Using CNTK backend
Selected CPU as the process wide default device.
F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\backend\cntk_backend.py:18: UserWarning: CNTK backend warning: GPU is not detected. CNTK's CPU version is not fully optimized,please run with GPU to get better performance.
'CNTK backend warning: GPU is not detected. '
Building model...
Train on 105 samples, validate on 106 samples
Epoch 1/2
Traceback (most recent call last):
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\azureml\logging_exec_wrapper.py", line 159, in execute
raise exc
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\azureml\logging_exec_wrapper.py", line 157, in execute
run_name="main")
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\runpy.py", line 254, in run_path
pkg_name=pkg_name, script_name=fname)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "SentimentExtraction.py", line 179, in
model = train_model()
File "SentimentExtraction.py", line 99, in train_model
validation_data=(x_test, y_test))
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\models.py", line 960, in fit
validation_steps=validation_steps)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\engine\training.py", line 1650, in fit
validation_steps=validation_steps)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\engine\training.py", line 1213, in _fit_loop
outs = f(ins_batch)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\backend\cntk_backend.py", line 1815, in call
input_dict, self.trainer_output)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\cntk\train\trainer.py", line 171, in train_minibatch
output_map, device)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\cntk\cntk_py.py", line 2853, in train_minibatch
return _cntk_py.Trainer_train_minibatch(self, *args)
RuntimeError: mkl err (-127)
Environment:
Windows 10 x64
Python 3.5.2
Keras 2.1.1
CNTK CPU-Only 2.3
Outputs:
PS F:\Study\LuisSentimentAnalysis> az ml experiment submit -c local SentimentExtraction.py
RunId: LuisSentimentAnalysis_1511486594580
Executing user inputs .....
Using CNTK backend
Selected CPU as the process wide default device.
F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\backend\cntk_backend.py:18: UserWarning: CNTK backend warning: GPU is not detected. CNTK's CPU version is not fully optimized,please run with GPU to get better performance.
'CNTK backend warning: GPU is not detected. '
Building model...
Train on 105 samples, validate on 106 samples
Epoch 1/2
Traceback (most recent call last):
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\azureml\logging_exec_wrapper.py", line 159, in execute
raise exc
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\azureml\logging_exec_wrapper.py", line 157, in execute
run_name="main")
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\runpy.py", line 254, in run_path
pkg_name=pkg_name, script_name=fname)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "SentimentExtraction.py", line 179, in
model = train_model()
File "SentimentExtraction.py", line 99, in train_model
validation_data=(x_test, y_test))
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\models.py", line 960, in fit
validation_steps=validation_steps)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\engine\training.py", line 1650, in fit
validation_steps=validation_steps)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\engine\training.py", line 1213, in _fit_loop
outs = f(ins_batch)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\keras\backend\cntk_backend.py", line 1815, in call
input_dict, self.trainer_output)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\cntk\train\trainer.py", line 171, in train_minibatch
output_map, device)
File "F:\Users\stlui\AppData\local\AmlWorkbench\Python\lib\site-packages\cntk\cntk_py.py", line 2853, in train_minibatch
return _cntk_py.Trainer_train_minibatch(self, *args)
RuntimeError: mkl err (-127)
[CALL STACK]
> Microsoft::MSR::CNTK::ConvolutionEngine:: MaxUnpooling
- Microsoft::MSR::CNTK::ConvolutionEngine:: Forward (x2)
- CNTK::Dictionary:: ~Dictionary (x2)
- CNTK::Internal:: UseSparseGradientAggregationInDataParallelSGD
- CNTK::Dictionary:: ~Dictionary
- CNTK::Internal:: UseSparseGradientAggregationInDataParallelSGD
- CNTK::Function:: Forward
- CNTK:: CreateTrainer
- CNTK::Trainer:: TotalNumberOfUnitsSeen
- CNTK::Trainer:: TrainMinibatch
- PyInit__cntk_py (x2)
- PyCFunction_Call
- PyEval_GetFuncDesc
Execution Details
RunId: LuisSentimentAnalysis_1511486594580
The text was updated successfully, but these errors were encountered: