build(deps): bump tensorflow from 2.8.4 to 2.11.1 in /tests/github/in…

…teractive_api_director/experiments/tensorflow_mnist/envoy (securefederatedai#772)

* build(deps): bump tensorflow

Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.8.4 to 2.11.1.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](tensorflow/tensorflow@v2.8.4...v2.11.1)

---
updated-dependencies:
- dependency-name: tensorflow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>

* Update sd_requirements.txt

* revert to legacy SGD and install tensorflow==2.11 for workflow

Signed-off-by: kta-intel <kevin.ta@intel.com>

---------

Signed-off-by: dependabot[bot] <support@github.com>
Signed-off-by: kta-intel <kevin.ta@intel.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Patrick Foley <patrick.foley@intel.com>
Co-authored-by: kta-intel <kevin.ta@intel.com>
Signed-off-by: Parth Mandaliya <parthx.mandaliya@intel.com>

.github/workflows/interactive-tensorflow.yml

@@ -27,5 +27,5 @@ jobs:
     - name: Interactive API - tensorflow_mnist
       run: |
         python setup.py build_grpc
-        pip install tensorflow==2.8
+        pip install tensorflow==2.11
         python -m tests.github.interactive_api_director.experiments.tensorflow_mnist.run

tests/github/interactive_api_director/experiments/tensorflow_mnist/envoy/sd_requirements.txt

@@ -1 +1 @@
-tensorflow==2.8.4
+tensorflow==2.11.1

tests/github/interactive_api_director/experiments/tensorflow_mnist/settings.py

@@ -13,7 +13,7 @@
 model = keras.Model(inputs=inputs, outputs=outputs)
 
 # Instantiate an optimizer.
-optimizer = keras.optimizers.SGD(learning_rate=1e-3)
+optimizer = keras.optimizers.legacy.SGD(learning_rate=1e-3)
 # Instantiate a loss function.
 loss_fn = keras.losses.SparseCategoricalCrossentropy(from_logits=True)
 model.compile(optimizer, loss_fn)