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‎TensorFlow/Classification/ConvNets/README.md‎
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@@ -32,7 +32,7 @@ allow_multiline_lambdas = True
 #                    # <------ this blank line
 #     def method():
 #         pass
-blank_line_before_nested_class_or_def = True
+blank_line_before_nested_class_or_def = False
 
 # Insert a blank line before a module docstring.
 blank_line_before_module_docstring = True
@@ -83,7 +83,7 @@ continuation_indent_width = 4
 #       start_ts=now()-timedelta(days=3),
 #       end_ts=now(),
 #   )        # <--- this bracket is dedented and on a separate line
-dedent_closing_brackets = True
+dedent_closing_brackets = False
 
 # Disable the heuristic which places each list element on a separate line if the list is comma-terminated.
 disable_ending_comma_heuristic = false
 
@@ -1,8 +1,30 @@
-ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:20.06-tf1-py3
+ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:20.12-tf1-py3
+ARG TRITON_CLIENT_IMAGE_NAME=nvcr.io/nvidia/tritonserver:20.12-py3-sdk
+FROM ${TRITON_CLIENT_IMAGE_NAME} as triton-client
 FROM ${FROM_IMAGE_NAME}
 
+# Install perf_client required library
+RUN apt-get update && \
+    apt-get install -y libb64-dev libb64-0d && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install Triton Client PythonAPI and copy Perf Client
+COPY --from=triton-client /workspace/install/ /workspace/install/
+ENV LD_LIBRARY_PATH /workspace/install/lib:${LD_LIBRARY_PATH}
+RUN find /workspace/install/python/ -iname triton*manylinux*.whl -exec pip install {}[all] \;
+
+# Setup environmnent variables to access Triton Client lib and bin
+ENV PATH /workspace/install/bin:${PATH}
+
+ENV PYTHONPATH /workspace/rn50v15_tf
+WORKDIR /workspace/rn50v15_tf
+
+RUN pip uninstall -y typing
+
 ADD requirements.txt .
+ADD triton/requirements.txt triton/requirements.txt
 RUN pip install -r requirements.txt
+RUN pip install -r triton/requirements.txt
 
-ADD . /workspace/rn50v15_tf
-WORKDIR /workspace/rn50v15_tf
+ADD . .
@@ -51,7 +51,7 @@ were averaged over an entire training epoch.
 The specific training script that was run is documented 
 in the corresponding model's README.
 
-The following table shows the training accuracy results of the 
+The following table shows the training performance results of the 
 three classification models side-by-side.
 
 
@@ -71,7 +71,7 @@ were averaged over an entire training epoch.
 The specific training script that was run is documented 
 in the corresponding model's README.
 
-The following table shows the training accuracy results of the 
+The following table shows the training performance results of the 
 three classification models side-by-side.