@@ -11,7 +11,6 @@ Learning (NSL) in TensorFlow:
1111 ` pip ` package manager.
1212* If you have a unique machine configuration,
1313 [ build NSL] ( #build-the-neural-structured-learning-pip-package ) from source.
14- * You can also use [ Docker for installing NSL] ( #using-docker ) .
1514
1615## Install Neural Structured Learning using pip
1716
@@ -134,44 +133,3 @@ Note: To exit the virtual environment, run `deactivate`.
134133</pre >
135134
136135Success: The Neural Structured Learning package is built.
137-
138- ## Using Docker
139-
140- Create a Neural Structured Learning development environment using Docker on
141- Ubuntu or macOS.
142-
143- ### 1. Install Docker.
144-
145- [ Install Docker] ( https://docs.docker.com/install/ ) on your local machine.
146-
147- ### 2. Clone the latest Neural Structured Learning source.
148-
149- <pre class =" prettyprint lang-bsh " >
150- <code class =" devsite-terminal " >git clone https://github.com/tensorflow/neural-structured-learning.git</code >
151- <code class =" devsite-terminal " >cd neural_structured_learning</code >
152- </pre >
153-
154- ### 3. Build a Docker image.
155-
156- <pre class =" prettyprint lang-bsh " >
157- <code class =" devsite-terminal " >docker build . \
158- --tag neural-structured-learning:latest</code >
159- </pre >
160-
161- ### 4. Start a Docker container.
162-
163- <pre class =" prettyprint lang-bsh " >
164- <code class =" devsite-terminal " >docker run -it \
165- --workdir /neural_structured_learning \
166- --volume $(pwd):/neural_structured_learning \
167- neural-structured-learning:latest \
168- bash</code >
169- </pre >
170-
171- ### 5. (Optional) Test Neural Structured Learning.
172-
173- <pre class =" prettyprint lang-bsh " >
174- <code class =" devsite-terminal " >bazel test //neural_structured_learning/...</code >
175- </pre >
176-
177- Success: The Neural Structured Learning development environment is ready.
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