![]() _internal\network\utils.py", line 39, in response_chunks _internal\utils\ui.py", line 160, in iter _internal\operations\prepare.py", line 303, in _download_http_url _internal\operations\prepare.py", line 159, in unpack_http_url _internal\operations\prepare.py", line 287, in unpack_url _internal\operations\prepare.py", line 482, in prepare_linked_requirement _internal\legacy_resolve.py", line 282, in _get_abstract_dist_forĪbstract_dist = _linked_requirement(req) _internal\legacy_resolve.py", line 333, in _resolve_oneĪbstract_dist = self._get_abstract_dist_for(req_to_install) _internal\legacy_resolve.py", line 177, in resolveĭiscovered_reqs.extend(self._resolve_one(requirement_set, req)) _internal\commands\install.py", line 331, in run ![]() _internal\cli\base_command.py", line 186, in _main Socket.timeout: The read operation timed outĭuring handling of the above exception, another exception occurred: _vendor\cachecontrol\filewrapper.py", line 62, in readįile "c:\users\a\appdata\local\programs\python\python37\lib\http\client.py", lįile "c:\users\a\appdata\local\programs\python\python37\lib\socket.py", line 5įile "c:\users\a\appdata\local\programs\python\python37\lib\ssl.py", line 1071įile "c:\users\a\appdata\local\programs\python\python37\lib\ssl.py", line 929, ![]() _vendor\urllib3\response.py", line 507, in readĭata = self._fp.read(amt) if not fp_closed else b"" _vendor\urllib3\response.py", line 425, in _error_catcher | | 788 kB 3.2 kB/s eta 1 day, 6:26:40ERROR:įile "c:\users\a\appdata\local\programs\python\python37\lib\site-packages\pip\ Requirement already up-to-date: pip in c:\users\a\appdata\local\programs\python\Ĭ:\Users\A>pip list # show packages installed within the virtual environmentĬ:\Users\A>pip install -upgrade tensorflowĭownloading tensorflow-2.1.0-cp37-cp37m-win_amd64.whl (355.8 MB) The system cannot find the path specified. This is the error: C:\Users\A>.\venv\Scripts\activate I tried running code: pip install -upgrade tensorflow Here is the issue I have when I try to download Tensorflow: ", but it doesn't work out.Įven tho the first command didn't work out, it seems the pip, python, and virtualenv are installed on my PC. What does it mean by "the path does not exist"? I tried changing "python3. The path python3 (from -python=python3) does not exist All rights reserved.Ĭ:\Users\A>virtualenv -system-site-packages -p python3. I tried running code: pip3 install -U pip virtualenv Should I copy its commands to cmd? Or I should change some details of them accordingly? ![]() If the output you got is 'Hello, TensorFlow!',that means you have successfully install your Tensorflow.I am having some difficulties in installing TensorFlow on my computer. Hello = tf.constant('Hello, TensorFlow!') Validate installation by entering following command in your Python environment: (tensorflow)C:>pip install C:\Users\Joshua\Downloads\ tensorflow-1.0.1-cp36-cp36m-win_amd64.whl Install the Tensorflow by using the following command: (For my case, the file will be located in “C:\Users\Joshua\Downloads” once after downloaded) Go to code here download “tensorflow-1.0.1-cp36-cp36m-win_amd64.whl”. Go to to download Anaconda Python 3.6 version for Window 64bit.Ĭreate a conda environment named tensorflow by invoking the following command:Īctivate the conda environment by issuing the following command:Ĭ:> activate tensorflow (tensorflow)C:> # Your prompt should change This is what I did for Installing Anaconda Python 3.6 version and Tensorflow on Window 10 64bit.And It was success! The new python interpreter 'll be at conda_root/envs/tensorflow/bin/pythonX.X, such that the site-packages will be in conda_root/envs/tensorflow/lib/pythonX.X/site-packages. The default location - the environment lives under conda_root/envs/tensorflow. Now to use the conda interpreter from P圜harm go to file > settings > project > interpreter, select Add local in the project interpreter field (the little gear wheel) and browse the interpreter or past the path. Or simply use a Linux VM (using VMPlayer), and the stated steps will setup it up for you.įor P圜harm - Once conda environment will be created, you'll need to set the new interpretor (in conda environment) as the interpretor to use in P圜harm: System we are using) adds support for building on Windows, which is on It should become easier to add Windows support when Bazel (the build
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