Update the docs stale links (apache#7169)

neo-ai · Dec 26, 2020 · 2f8187a · 2f8187a
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diff --git a/docker/Dockerfile.demo_cpu b/docker/Dockerfile.demo_cpu
@@ -17,7 +17,7 @@
 
 # Minimum docker image for demo purposes
 # prebuilt-image: tvmai/demo-cpu
-FROM tvmai/ci-cpu:v0.55
+FROM tlcpack/ci-cpu:v0.55
 
 # Jupyter notebook.
 RUN pip3 install matplotlib Image Pillow jupyter[notebook]

diff --git a/docker/Dockerfile.demo_gpu b/docker/Dockerfile.demo_gpu
@@ -18,7 +18,7 @@
 # Minimum docker image for demo purposes
 # CI docker GPU env
 # tag: v0.54
-FROM tvmai/ci-gpu:v0.55
+FROM tlcpack/ci-gpu:v0.55
 
 # Jupyter notebook.
 RUN pip3 install matplotlib Image "Pillow<7" jupyter[notebook]

diff --git a/docs/contribute/code_guide.rst b/docs/contribute/code_guide.rst
@@ -41,7 +41,7 @@ You can also use the following command via docker.
 
 .. code:: bash
 
-    docker/bash.sh tvmai/ci-lint clang-format-10 [path-to-file]
+    docker/bash.sh tlcpack/ci-lint clang-format-10 [path-to-file]
 
 
 clang-format is also not perfect, when necessary, you can use disble clang-format on certain code regions.

diff --git a/docs/contribute/pull_request.rst b/docs/contribute/pull_request.rst
@@ -41,15 +41,15 @@ This is a quick guide to submit a pull request, please also refer to the detaile
 
     # While the lint commands used should be identical to those run in CI, this command reproduces
     # the CI lint procedure exactly (typically helpful for debugging lint script errors).
-    docker/bash.sh tvmai/ci-lint ./tests/scripts/task_lint.sh
+    docker/bash.sh tlcpack/ci-lint ./tests/scripts/task_lint.sh
 
   When the clang-format lint check fails, run git-clang-format as follows to automatically reformat
   your code:
 
   .. code:: bash
 
     # Run clang-format check for all the files that changed since upstream/main
-    docker/bash.sh tvmai/ci-lint ./tests/lint/git-clang-format.sh upstream/main
+    docker/bash.sh tlcpack/ci-lint ./tests/lint/git-clang-format.sh upstream/main
 
 - Add test-cases to cover the new features or bugfix the patch introduces.
 - Document the code you wrote, see more at :ref:`doc_guide`

diff --git a/docs/dev/benchmark.rst b/docs/dev/benchmark.rst
@@ -86,7 +86,7 @@ Here is sample data encoded as JSON:
     "timestamp":"20191123003411",
     "schema_version":"0.1",
     "metadata":{
-      "docker_tag":"tvmai/ci-gpu:v0.53"
+      "docker_tag":"tlcpack/ci-gpu:v0.53"
     },
     "workload_args":{
       "input_shape_dict":{

diff --git a/docs/dev/index.rst b/docs/dev/index.rst
@@ -49,7 +49,7 @@ In this guide, we will study an example compilation flow in the compiler. The fi
 - Runtime Execution: the user loads back a `runtime.Module` and runs the compiled functions in the supported runtime environment.
 
 
-.. figure:: https://raw.githubusercontent.com/tvmai/web-data/main/images/design/tvm_dyn_workflow.svg
+.. figure:: https://raw.githubusercontent.com/tlcpack/web-data/main/images/design/tvm_dyn_workflow.svg
    :align: center
    :width: 85%
 
@@ -201,7 +201,7 @@ except that the data structure of interest changes from the numpy.ndarray to tvm
 Logical Architecture Components
 -------------------------------
 
-.. figure:: https://raw.githubusercontent.com/tvmai/web-data/main/images/design/tvm_static_overview.svg
+.. figure:: https://raw.githubusercontent.com/tlcpack/web-data/main/images/design/tvm_static_overview.svg
    :align: center
    :width: 85%