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Move around due to new directories layout #273

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Jan 16, 2018
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2 changes: 1 addition & 1 deletion .gitignore
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Expand Up @@ -3,7 +3,7 @@
bin/

node_modules/
build/
dashboard/frontend/build

.vscode/

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Expand Up @@ -119,12 +119,12 @@ def main(): # pylint: disable=too-many-locals, too-many-statements
root_dir = os.path.abspath(os.path.join(images_dir, '..', '..'))
# List of paths to copy relative to root.
sources = [
"images/tf_operator/Dockerfile",
"build/images/tf_operator/Dockerfile",
os.path.join(go_path, "bin/tf_operator"),
os.path.join(go_path, "bin/e2e"),
os.path.join(go_path, "bin/backend"),
"dashboard/frontend/build",
"grpc_tensorflow_server/grpc_tensorflow_server.py"
"hack/grpc_tensorflow_server/grpc_tensorflow_server.py"
]

for s in sources:
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2 changes: 1 addition & 1 deletion developer_guide.md
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Expand Up @@ -124,7 +124,7 @@ export MY_POD_NAME=my-pod
Make a copy of `grpc_tensorflow_server.py` and create a config file named `controller-config-file.yaml`:

```sh
cp grpc_tensorflow_server/grpc_tensorflow_server.py /tmp/grpc_tensorflow_server.py
cp hack/grpc_tensorflow_server/grpc_tensorflow_server.py /tmp/grpc_tensorflow_server.py

cat > /tmp/controller-config-file.yaml << EOL
grpcServerFilePath: /tmp/grpc_tensorflow_server.py
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4 changes: 2 additions & 2 deletions py/release.py
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Expand Up @@ -151,12 +151,12 @@ def build_operator_image(root_dir, registry, project=None, should_push=True):

# List of paths to copy relative to root.
sources = [
"images/tf_operator/Dockerfile",
"build/images/tf_operator/Dockerfile",
os.path.join(go_path, "bin/tf_operator"),
os.path.join(go_path, "bin/e2e"),
os.path.join(go_path, "bin/backend"),
"dashboard/frontend/build",
"grpc_tensorflow_server/grpc_tensorflow_server.py"
"hack/grpc_tensorflow_server/grpc_tensorflow_server.py"
]

for s in sources:
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2 changes: 1 addition & 1 deletion tf_job_design_doc.md
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Expand Up @@ -87,7 +87,7 @@ The controller manages a distributed TFJob by creating a series of Job controlle

When the master exits successfully or with a permanent error the job is considered finished. There is an open issue([issues/61](https://github.com/tensorflow/k8s/issues/61)) to make the changes necessary to support evaluation with the Estimator API in 1.4. The pods aren't deleted until the TfJob is deleted. This allows the logs to be fetched via kubectl logs.

![Resources for TfJob](diagrams/tfjob_k8s_resources.svg)
![Resources for TfJob](docs/diagrams/tfjob_k8s_resources.svg)


## TensorBoard
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