{"action":"created","issue":{"url":"https://api.github.com/repos/fchollet/keras/issues/1840","repository_url":"https://api.github.com/repos/fchollet/keras","labels_url":"https://api.github.com/repos/fchollet/keras/issues/1840/labels{/name}","comments_url":"https://api.github.com/repos/fchollet/keras/issues/1840/comments","events_url":"https://api.github.com/repos/fchollet/keras/issues/1840/events","html_url":"https://github.com/fchollet/keras/issues/1840","id":136950754,"number":1840,"title":"lstm error: blocks nested too deeply","user":{"login":"eyaler","id":4436747,"avatar_url":"https://avatars.githubusercontent.com/u/4436747?v=3","gravatar_id":"","url":"https://api.github.com/users/eyaler","html_url":"https://github.com/eyaler","followers_url":"https://api.github.com/users/eyaler/followers","following_url":"https://api.github.com/users/eyaler/following{/other_user}","gists_url":"https://api.github.com/users/eyaler/gists{/gist_id}","starred_url":"https://api.github.com/users/eyaler/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/eyaler/subscriptions","organizations_url":"https://api.github.com/users/eyaler/orgs","repos_url":"https://api.github.com/users/eyaler/repos","events_url":"https://api.github.com/users/eyaler/events{/privacy}","received_events_url":"https://api.github.com/users/eyaler/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":10,"created_at":"2016-02-27T18:13:29Z","updated_at":"2016-03-04T20:55:44Z","closed_at":null,"body":"i am running master imdb_lstm.py example\r\nworks for:\r\nhttps://github.com/fchollet/keras/commit/3f905e4a357c05b216c29e34d26c12a4cd866f8e\r\n\r\nbroken by:\r\nhttps://github.com/fchollet/keras/commit/73e563ecaf915d073d8b8fabc4a568ecddb0ea11\r\n\r\ni can run by reducing LSTM(128) to LSTM(64)\r\n\r\nerror message for LSTM(128):\r\n\r\nC:\\Anaconda34\\python.exe C:/Users/eyaler/Dropbox/python/keras-lstm/lstm.py\r\nUsing Theano backend.\r\nDEBUG: nvcc STDOUT mod.cu\r\n   Creating library C:/Users/eyaler/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64/tmp40r8j54g/m91973e5c136ea49268a916ff971b7377.lib and object C:/Users/eyaler/AppData/Local/Theano/compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64/tmp40r8j54g/m91973e5c136ea49268a916ff971b7377.exp\r\n\r\nUsing gpu device 0: GeForce GTX 970 (CNMeM is enabled with initial size: 70.0% of memory, CuDNN 4004)\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\tensor\\signal\\downsample.py:5: UserWarning: downsample module has been moved to the pool module.\r\n  warnings.warn(\"downsample module has been moved to the pool module.\")\r\nLoading data...\r\n20000 train sequences\r\n5000 test sequences\r\nPad sequences (samples x time)\r\nX_train shape: (20000, 100)\r\nX_test shape: (5000, 100)\r\nBuild model...\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(17) : warning C4005: 'PyString_Check' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(63) : see previous definition of 'PyString_Check'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(18) : warning C4005: 'PyString_FromString' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(65) : see previous definition of 'PyString_FromString'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(19) : warning C4005: 'PyString_AsString' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(72) : see previous definition of 'PyString_AsString'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(20) : warning C4005: 'PyString_FromStringAndSize' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(66) : see previous definition of 'PyString_FromStringAndSize'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(21) : warning C4005: 'PyString_Size' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(74) : see previous definition of 'PyString_Size'\r\n\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(17) : warning C4005: 'PyString_Check' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(63) : see previous definition of 'PyString_Check'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(18) : warning C4005: 'PyString_FromString' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(65) : see previous definition of 'PyString_FromString'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(19) : warning C4005: 'PyString_AsString' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(72) : see previous definition of 'PyString_AsString'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(20) : warning C4005: 'PyString_FromStringAndSize' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(66) : see previous definition of 'PyString_FromStringAndSize'\r\nC:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\cuda_ndarray.cuh(21) : warning C4005: 'PyString_Size' : macro redefinition\r\n        C:\\Anaconda34\\lib\\site-packages\\numpy\\core\\include\\numpy/npy_3kcompat.h(74) : see previous definition of 'PyString_Size'\r\n\r\nTraceback (most recent call last):\r\n  File \"C:/Users/eyaler/Dropbox/python/keras-lstm/lstm.py\", line 52, in <module>\r\n    class_mode=\"binary\")\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\keras\\models.py\", line 547, in compile\r\nmod.cu\r\nmod.cu(9609) : fatal error C1061: compiler limit : blocks nested too deeply\r\n\r\n['nvcc', '-shared', '-O3', '-use_fast_math', '-arch=sm_52', '-Xlinker', '/DEBUG', '-D HAVE_ROUND', '-m64', '-Xcompiler', '-DCUDA_NDARRAY_CUH=m18715462c72ed6afcd7ca5d52813ce90,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,/Zi,/MD', '-IC:\\\\Users\\\\eyaler\\\\AppData\\\\Local\\\\Theano\\\\compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64\\\\cuda_ndarray', '-IC:\\\\Anaconda34\\\\lib\\\\site-packages\\\\numpy\\\\core\\\\include', '-IC:\\\\Anaconda34\\\\include', '-IC:\\\\Anaconda34\\\\lib\\\\site-packages\\\\theano\\\\gof', '-IC:\\\\Anaconda34\\\\lib\\\\site-packages\\\\theano\\\\sandbox\\\\cuda', '-o', 'C:\\\\Users\\\\eyaler\\\\AppData\\\\Local\\\\Theano\\\\compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64\\\\tmpjn1b5rys\\\\m4ede61e241807f1f7e84ac7a20c0e454.pyd', 'mod.cu', '-LC:\\\\Users\\\\eyaler\\\\AppData\\\\Local\\\\Theano\\\\compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64\\\\cuda_ndarray', '-LC:\\\\Anaconda34\\\\libs', '-LC:\\\\Anaconda34', '-lcudart', '-lcublas', '-lcuda_ndarray', '-lpython34']\r\n    self._train = K.function(train_ins, [train_loss], updates=updates)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\keras\\backend\\theano_backend.py\", line 449, in function\r\n    return Function(inputs, outputs, updates=updates)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\keras\\backend\\theano_backend.py\", line 441, in __init__\r\n    allow_input_downcast=True, **kwargs)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\compile\\function.py\", line 320, in function\r\n    output_keys=output_keys)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\compile\\pfunc.py\", line 479, in pfunc\r\n    output_keys=output_keys)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\compile\\function_module.py\", line 1777, in orig_function\r\n    defaults)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\compile\\function_module.py\", line 1641, in create\r\n    input_storage=input_storage_lists, storage_map=storage_map)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\link.py\", line 690, in make_thunk\r\n    storage_map=storage_map)[:3]\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\vm.py\", line 1003, in make_all\r\n    no_recycling))\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\__init__.py\", line 257, in make_thunk\r\n    compute_map, no_recycling)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\op.py\", line 970, in make_thunk\r\n    no_recycling)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\op.py\", line 879, in make_c_thunk\r\n    output_storage=node_output_storage)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\cc.py\", line 1200, in make_thunk\r\n    keep_lock=keep_lock)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\cc.py\", line 1143, in __compile__\r\n    keep_lock=keep_lock)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\cc.py\", line 1595, in cthunk_factory\r\n    key=key, lnk=self, keep_lock=keep_lock)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\cmodule.py\", line 1142, in module_from_key\r\n    module = lnk.compile_cmodule(location)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\gof\\cc.py\", line 1506, in compile_cmodule\r\n    preargs=preargs)\r\n  File \"C:\\Anaconda34\\lib\\site-packages\\theano\\sandbox\\cuda\\nvcc_compiler.py\", line 396, in compile_str\r\n    'for cmd', ' '.join(cmd))\r\nException: ('The following error happened while compiling the node', GpuJoin(TensorConstant{0}, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0, GpuAlloc{memset_0=True}.0), '\\n', 'nvcc return status', 2, 'for cmd', 'nvcc -shared -O3 -use_fast_math -arch=sm_52 -Xlinker /DEBUG -D HAVE_ROUND -m64 -Xcompiler -DCUDA_NDARRAY_CUH=m18715462c72ed6afcd7ca5d52813ce90,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,/Zi,/MD -IC:\\\\Users\\\\eyaler\\\\AppData\\\\Local\\\\Theano\\\\compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64\\\\cuda_ndarray -IC:\\\\Anaconda34\\\\lib\\\\site-packages\\\\numpy\\\\core\\\\include -IC:\\\\Anaconda34\\\\include -IC:\\\\Anaconda34\\\\lib\\\\site-packages\\\\theano\\\\gof -IC:\\\\Anaconda34\\\\lib\\\\site-packages\\\\theano\\\\sandbox\\\\cuda -o C:\\\\Users\\\\eyaler\\\\AppData\\\\Local\\\\Theano\\\\compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64\\\\tmpjn1b5rys\\\\m4ede61e241807f1f7e84ac7a20c0e454.pyd mod.cu -LC:\\\\Users\\\\eyaler\\\\AppData\\\\Local\\\\Theano\\\\compiledir_Windows-10-10.0.10586-Intel64_Family_6_Model_94_Stepping_3_GenuineIntel-3.4.4-64\\\\cuda_ndarray -LC:\\\\Anaconda34\\\\libs -LC:\\\\Anaconda34 -lcudart -lcublas -lcuda_ndarray -lpython34', '[GpuJoin(TensorConstant{0}, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>, <CudaNdarrayType(float32, row)>)]')\r\n\r\nProcess finished with exit code 1\r\n"},"comment":{"url":"https://api.github.com/repos/fchollet/keras/issues/comments/192464292","html_url":"https://github.com/fchollet/keras/issues/1840#issuecomment-192464292","issue_url":"https://api.github.com/repos/fchollet/keras/issues/1840","id":192464292,"user":{"login":"fchollet","id":710255,"avatar_url":"https://avatars.githubusercontent.com/u/710255?v=3","gravatar_id":"","url":"https://api.github.com/users/fchollet","html_url":"https://github.com/fchollet","followers_url":"https://api.github.com/users/fchollet/followers","following_url":"https://api.github.com/users/fchollet/following{/other_user}","gists_url":"https://api.github.com/users/fchollet/gists{/gist_id}","starred_url":"https://api.github.com/users/fchollet/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/fchollet/subscriptions","organizations_url":"https://api.github.com/users/fchollet/orgs","repos_url":"https://api.github.com/users/fchollet/repos","events_url":"https://api.github.com/users/fchollet/events{/privacy}","received_events_url":"https://api.github.com/users/fchollet/received_events","type":"User","site_admin":false},"created_at":"2016-03-04T20:55:44Z","updated_at":"2016-03-04T20:55:44Z","body":"What's your complete config description?\n\nOn 4 March 2016 at 12:24, Fariz Rahman <notifications@github.com> wrote:\n\n> @eyaler <https://github.com/eyaler> Its working for me. Maybe somethings\n> wrong with your installation procedure? Or you are running some compiled\n> python code (.pyc) from before?\n>\n> —\n> Reply to this email directly or view it on GitHub\n> <https://github.com/fchollet/keras/issues/1840#issuecomment-192451945>.\n>\n"}}