@@ -163,7 +163,7 @@ Take the following steps to install TensorFlow with Virtualenv:
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virtualenv environment:
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<pre >(tensorflow)$ <b >pip3 install --upgrade \
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- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0 -cp34-cp34m-linux_x86_64.whl</b ></pre >
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+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1 -cp34-cp34m-linux_x86_64.whl</b ></pre >
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If you encounter installation problems, see
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[ Common Installation Problems] ( #CommonInstallationProblems ) .
@@ -268,7 +268,7 @@ take the following steps:
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<pre >
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$ <b >sudo pip3 install --upgrade \
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- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0 -cp34-cp34m-linux_x86_64.whl</b >
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+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1 -cp34-cp34m-linux_x86_64.whl</b >
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</pre >
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If this step fails, see
@@ -335,9 +335,9 @@ where:
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* <tt >gcr.io/tensorflow/tensorflow: latest-devel </tt >, which is the latest
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TensorFlow CPU Binary image plus source code.
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* <tt >gcr.io/tensorflow/tensorflow:<i >version</i ></tt >, which is the
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- specified version (for example, 1.0.0 ) of TensorFlow CPU binary image.
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+ specified version (for example, 1.0.1 ) of TensorFlow CPU binary image.
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* <tt >gcr.io/tensorflow/tensorflow:<i >version</i >-devel</tt >, which is
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- the specified version (for example, 1.0.0 ) of the TensorFlow GPU
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+ the specified version (for example, 1.0.1 ) of the TensorFlow GPU
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binary image plus source code.
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<tt >gcr.io</tt > is the Google Container Registry. Note that some
@@ -455,7 +455,7 @@ Take the following steps to install TensorFlow in an Anaconda environment:
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<pre >
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(tensorflow)$ <b >pip install --ignore-installed --upgrade \
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- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0 -cp34-cp34m-linux_x86_64.whl</b ></pre >
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+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1 -cp34-cp34m-linux_x86_64.whl</b ></pre >
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<a name =" ValidateYourInstallation " ></a >
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CPU only:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0 -cp27-none-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1 -cp27-none-linux_x86_64.whl
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</pre >
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GPU support:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0 -cp27-none-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.1 -cp27-none-linux_x86_64.whl
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</pre >
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Note that GPU support requires the NVIDIA hardware and software described in
@@ -645,14 +645,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
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CPU only:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0 -cp34-cp34m-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1 -cp34-cp34m-linux_x86_64.whl
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</pre >
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GPU support:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0 -cp34-cp34m-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.1 -cp34-cp34m-linux_x86_64.whl
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</pre >
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Note that GPU support requires the NVIDIA hardware and software described in
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CPU only:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0 -cp35-cp35m-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1 -cp35-cp35m-linux_x86_64.whl
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</pre >
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GPU support:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0 -cp35-cp35m-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.1 -cp35-cp35m-linux_x86_64.whl
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</pre >
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@@ -683,14 +683,14 @@ Note that GPU support requires the NVIDIA hardware and software described in
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CPU only:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.0 -cp36-cp36m-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.0.1 -cp36-cp36m-linux_x86_64.whl
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</pre >
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GPU support:
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<pre >
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- https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.0 -cp36-cp36m-linux_x86_64.whl
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+ https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.0.1 -cp36-cp36m-linux_x86_64.whl
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</pre >
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