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cuda_recent_install.txt
nvcc -V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Thu_Jan_28_19:41:49_Pacific_Standard_Time_2021
Cuda compilation tools, release 11.2, V11.2.142
Build cuda_11.2.r11.2/compiler.29558016_0
deviceQuery.exe Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "NVIDIA GeForce GTX 1080"
CUDA Driver Version / Runtime Version 11.3 / 11.2
CUDA Capability Major/Minor version number: 6.1
Total amount of global memory: 8192 MBytes (8589934592 bytes)
(20) Multiprocessors, (128) CUDA Cores/MP: 2560 CUDA Cores
GPU Max Clock rate: 1734 MHz (1.73 GHz)
Memory Clock rate: 5005 Mhz
Memory Bus Width: 256-bit
L2 Cache Size: 2097152 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: zu bytes
Total amount of shared memory per block: zu bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 2048
Maximum number of threads per block: 1024
Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535)
Maximum memory pitch: zu bytes
Texture alignment: zu bytes
Concurrent copy and kernel execution: Yes with 2 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Alignment requirement for Surfaces: Yes
Device has ECC support: Disabled
CUDA Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Model)
Device supports Unified Addressing (UVA): Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
Supports MultiDevice Co-op Kernel Launch: No
Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >
deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.3, CUDA Runtime Version = 11.2, NumDevs = 1, Device0 = NVIDIA GeForce GTX 1080
Result = PASS
(base) C:\Users\_\anaconda3>dir
Volume in drive C is Windows
Volume Serial Number is 4E4C-DF71
Directory of C:\Users\_\anaconda3
08/06/2021 04:12 AM <DIR> .
08/06/2021 04:12 AM <DIR> ..
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08/06/2021 04:12 AM <DIR> Scripts
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(base) C:\Users\_\anaconda3>activate tf-gpu25
(tf-gpu25) C:\Users\_\anaconda3>pip install tensorflow==2.5
Collecting tensorflow==2.5
Downloading tensorflow-2.5.0-cp38-cp38-win_amd64.whl (422.6 MB)
|████████████████████████████████| 422.6 MB 1.4 kB/s
Collecting numpy~=1.19.2
Downloading numpy-1.19.5-cp38-cp38-win_amd64.whl (13.3 MB)
|████████████████████████████████| 13.3 MB 6.8 MB/s
Collecting wrapt~=1.12.1
Using cached wrapt-1.12.1.tar.gz (27 kB)
Requirement already satisfied: wheel~=0.35 in c:\users\ece\anaconda3\envs\tf-gpu25\lib\site-packages (from tensorflow==2.5) (0.36.2)
Collecting typing-extensions~=3.7.4
Downloading typing_extensions-3.7.4.3-py3-none-any.whl (22 kB)
Collecting grpcio~=1.34.0
Downloading grpcio-1.34.1-cp38-cp38-win_amd64.whl (2.9 MB)
|████████████████████████████████| 2.9 MB 3.3 MB/s
Collecting tensorboard~=2.5
Downloading tensorboard-2.5.0-py3-none-any.whl (6.0 MB)
|████████████████████████████████| 6.0 MB 2.2 MB/s
Collecting h5py~=3.1.0
Downloading h5py-3.1.0-cp38-cp38-win_amd64.whl (2.7 MB)
|████████████████████████████████| 2.7 MB 3.3 MB/s
Collecting keras-preprocessing~=1.1.2
Using cached Keras_Preprocessing-1.1.2-py2.py3-none-any.whl (42 kB)
Collecting keras-nightly~=2.5.0.dev
Downloading keras_nightly-2.5.0.dev2021032900-py2.py3-none-any.whl (1.2 MB)
|████████████████████████████████| 1.2 MB 3.2 MB/s
Collecting absl-py~=0.10
Downloading absl_py-0.12.0-py3-none-any.whl (129 kB)
|████████████████████████████████| 129 kB 6.8 MB/s
Collecting opt-einsum~=3.3.0
Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)
|████████████████████████████████| 65 kB 1.3 MB/s
Collecting gast==0.4.0
Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)
Collecting flatbuffers~=1.12.0
Downloading flatbuffers-1.12-py2.py3-none-any.whl (15 kB)
Collecting six~=1.15.0
Using cached six-1.15.0-py2.py3-none-any.whl (10 kB)
Collecting astunparse~=1.6.3
Using cached astunparse-1.6.3-py2.py3-none-any.whl (12 kB)
Collecting google-pasta~=0.2
Using cached google_pasta-0.2.0-py3-none-any.whl (57 kB)
Collecting termcolor~=1.1.0
Using cached termcolor-1.1.0.tar.gz (3.9 kB)
Collecting tensorflow-estimator<2.6.0,>=2.5.0rc0
Downloading tensorflow_estimator-2.5.0-py2.py3-none-any.whl (462 kB)
|████████████████████████████████| 462 kB 6.8 MB/s
Collecting protobuf>=3.9.2
Downloading protobuf-3.17.2-py2.py3-none-any.whl (173 kB)
|████████████████████████████████| 173 kB 3.3 MB/s
Collecting tensorboard-plugin-wit>=1.6.0
Downloading tensorboard_plugin_wit-1.8.0-py3-none-any.whl (781 kB)
|████████████████████████████████| 781 kB 6.8 MB/s
Collecting tensorboard-data-server<0.7.0,>=0.6.0
Downloading tensorboard_data_server-0.6.1-py3-none-any.whl (2.4 kB)
Requirement already satisfied: setuptools>=41.0.0 in c:\users\ece\anaconda3\envs\tf-gpu25\lib\site-packages (from tensorboard~=2.5->tensorflow==2.5) (49.6.0.post20210108)
Collecting werkzeug>=0.11.15
Downloading Werkzeug-2.0.1-py3-none-any.whl (288 kB)
|████████████████████████████████| 288 kB 3.2 MB/s
Collecting requests<3,>=2.21.0
Downloading requests-2.25.1-py2.py3-none-any.whl (61 kB)
|████████████████████████████████| 61 kB 2.0 MB/s
Collecting markdown>=2.6.8
Downloading Markdown-3.3.4-py3-none-any.whl (97 kB)
|████████████████████████████████| 97 kB 1.7 MB/s
Collecting google-auth-oauthlib<0.5,>=0.4.1
Downloading google_auth_oauthlib-0.4.4-py2.py3-none-any.whl (18 kB)
Collecting google-auth<2,>=1.6.3
Downloading google_auth-1.30.1-py2.py3-none-any.whl (146 kB)
|████████████████████████████████| 146 kB 3.3 MB/s
Collecting cachetools<5.0,>=2.0.0
Downloading cachetools-4.2.2-py3-none-any.whl (11 kB)
Collecting rsa<5,>=3.1.4
Downloading rsa-4.7.2-py3-none-any.whl (34 kB)
Collecting pyasn1-modules>=0.2.1
Using cached pyasn1_modules-0.2.8-py2.py3-none-any.whl (155 kB)
Collecting requests-oauthlib>=0.7.0
Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB)
Collecting pyasn1<0.5.0,>=0.4.6
Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB)
Collecting chardet<5,>=3.0.2
Downloading chardet-4.0.0-py2.py3-none-any.whl (178 kB)
|████████████████████████████████| 178 kB 3.3 MB/s
Collecting idna<3,>=2.5
Using cached idna-2.10-py2.py3-none-any.whl (58 kB)
Collecting urllib3<1.27,>=1.21.1
Downloading urllib3-1.26.5-py2.py3-none-any.whl (138 kB)
|████████████████████████████████| 138 kB 3.3 MB/s
Requirement already satisfied: certifi>=2017.4.17 in c:\users\ece\anaconda3\envs\tf-gpu25\lib\site-packages (from requests<3,>=2.21.0->tensorboard~=2.5->tensorflow==2.5) (2021.5.30)
Collecting oauthlib>=3.0.0
Downloading oauthlib-3.1.1-py2.py3-none-any.whl (146 kB)
|████████████████████████████████| 146 kB 3.3 MB/s
Building wheels for collected packages: termcolor, wrapt
Building wheel for termcolor (setup.py) ... done
Created wheel for termcolor: filename=termcolor-1.1.0-py3-none-any.whl size=4829 sha256=358d8e1199c849f2f0a75dd47dd3c3aa646ed879896b38b33ab77de8eb8e7928
Stored in directory: c:\users\ece\appdata\local\pip\cache\wheels\a0\16\9c\5473df82468f958445479c59e784896fa24f4a5fc024b0f501
Building wheel for wrapt (setup.py) ... done
Created wheel for wrapt: filename=wrapt-1.12.1-cp38-cp38-win_amd64.whl size=33694 sha256=c135a03ae41dfe5cc42141e3a79ba8faf80bd92d33fc11a0900441081e81b3e7
Stored in directory: c:\users\ece\appdata\local\pip\cache\wheels\5f\fd\9e\b6cf5890494cb8ef0b5eaff72e5d55a70fb56316007d6dfe73
Successfully built termcolor wrapt
Installing collected packages: urllib3, pyasn1, idna, chardet, six, rsa, requests, pyasn1-modules, oauthlib, cachetools, requests-oauthlib, google-auth, werkzeug, tensorboard-plugin-wit, tensorboard-data-server, protobuf, numpy, markdown, grpcio, google-auth-oauthlib, absl-py, wrapt, typing-extensions, termcolor, tensorflow-estimator, tensorboard, opt-einsum, keras-preprocessing, keras-nightly, h5py, google-pasta, gast, flatbuffers, astunparse, tensorflow
Attempting uninstall: numpy
Found existing installation: numpy 1.20.3
Uninstalling numpy-1.20.3:
Successfully uninstalled numpy-1.20.3
Successfully installed absl-py-0.12.0 astunparse-1.6.3 cachetools-4.2.2 chardet-4.0.0 flatbuffers-1.12 gast-0.4.0 google-auth-1.30.1 google-auth-oauthlib-0.4.4 google-pasta-0.2.0 grpcio-1.34.1 h5py-3.1.0 idna-2.10 keras-nightly-2.5.0.dev2021032900 keras-preprocessing-1.1.2 markdown-3.3.4 numpy-1.19.5 oauthlib-3.1.1 opt-einsum-3.3.0 protobuf-3.17.2 pyasn1-0.4.8 pyasn1-modules-0.2.8 requests-2.25.1 requests-oauthlib-1.3.0 rsa-4.7.2 six-1.15.0 tensorboard-2.5.0 tensorboard-data-server-0.6.1 tensorboard-plugin-wit-1.8.0 tensorflow-2.5.0 tensorflow-estimator-2.5.0 termcolor-1.1.0 typing-extensions-3.7.4.3 urllib3-1.26.5 werkzeug-2.0.1 wrapt-1.12.1
(tf-gpu25) C:\Users\_\anaconda3>pip3 install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio===0.8.1 -f https://download.pytorch.org/whl/torch_stable.html
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch==1.8.1+cu111
Downloading https://download.pytorch.org/whl/cu111/torch-1.8.1%2Bcu111-cp38-cp38-win_amd64.whl (3055.7 MB)
|████████████████████████████████| 3055.7 MB 596 bytes/s
Collecting torchvision==0.9.1+cu111
Downloading https://download.pytorch.org/whl/cu111/torchvision-0.9.1%2Bcu111-cp38-cp38-win_amd64.whl (1.9 MB)
|████████████████████████████████| 1.9 MB 95 kB/s
Collecting torchaudio===0.8.1
Downloading torchaudio-0.8.1-cp38-none-win_amd64.whl (109 kB)
|████████████████████████████████| 109 kB 1.1 MB/s
Requirement already satisfied: typing-extensions in c:\users\ece\anaconda3\envs\tf-gpu25\lib\site-packages (from torch==1.8.1+cu111) (3.7.4.3)
Requirement already satisfied: numpy in c:\users\ece\anaconda3\envs\tf-gpu25\lib\site-packages (from torch==1.8.1+cu111) (1.19.5)
Collecting pillow>=4.1.1
Downloading Pillow-8.2.0-cp38-cp38-win_amd64.whl (2.2 MB)
|████████████████████████████████| 2.2 MB 2.2 MB/s
Installing collected packages: torch, pillow, torchvision, torchaudio
Successfully installed pillow-8.2.0 torch-1.8.1+cu111 torchaudio-0.8.1 torchvision-0.9.1+cu111
(tf-gpu25) C:\Users\_\anaconda3>conda install matplotlib
(tf-gpu25) C:\Users\_>python
Python 3.8.10 | packaged by conda-forge | (default, May 11 2021, 06:25:23) [MSC v.1916 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2021-06-08 15:09:50.944274: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
>>> tf.test.is_gpu_available(cuda_only=False, min_cuda_compute_capability=None)
WARNING:tensorflow:From <stdin>:1: is_gpu_available (from tensorflow.python.framework.test_util) is deprecated and will be removed in a future version.
Instructions for updating:
Use `tf.config.list_physical_devices('GPU')` instead.
2021-06-08 15:10:33.412591: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-06-08 15:10:33.429061: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library nvcuda.dll
2021-06-08 15:10:33.461533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: NVIDIA GeForce GTX 1080 computeCapability: 6.1
coreClock: 1.7335GHz coreCount: 20 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 298.32GiB/s
2021-06-08 15:10:33.476622: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudart64_110.dll
2021-06-08 15:10:34.071939: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublas64_11.dll
2021-06-08 15:10:34.077931: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cublasLt64_11.dll
2021-06-08 15:10:34.468939: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cufft64_10.dll
2021-06-08 15:10:34.522307: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library curand64_10.dll
2021-06-08 15:10:34.812074: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusolver64_11.dll
2021-06-08 15:10:35.072190: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cusparse64_11.dll
2021-06-08 15:10:35.100045: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library cudnn64_8.dll
2021-06-08 15:10:35.107647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0
2021-06-08 15:10:35.763306: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-06-08 15:10:35.770653: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0
2021-06-08 15:10:35.775762: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N
2021-06-08 15:10:35.780531: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/device:GPU:0 with 6165 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce GTX 1080, pci bus id: 0000:01:00.0, compute capability: 6.1)
True
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