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[EfficientNet/TF2] Initial release of EfficientNet V2
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output

TensorFlow2/Classification/ConvNets/efficientnet/.gitignore renamed to TensorFlow2/Classification/ConvNets/.gitignore

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config/efficientnet_v2/s_cfg_fumb.py
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config/efficientnet_v2/s_cfg_mb.py
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config/efficientnet_v1/b4_allfumb_cfg.py
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config/efficientnet_v1/b4_mixed_cfg.py
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debug.py
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output/
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src/
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.vscode/
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eval/
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log.json
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]

TensorFlow2/Classification/ConvNets/efficientnet/Dockerfile renamed to TensorFlow2/Classification/ConvNets/Dockerfile

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# See the License for the specific language governing permissions and
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# limitations under the License.
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ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:21.02-tf2-py3
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ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:21.09-tf2-py3
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FROM ${FROM_IMAGE_NAME}
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RUN echo ${FROM_IMAGE_NAME}
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LABEL Effnet_tf by subhankarg
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LABEL Effnetv2_tf2 by ntajbakhsh
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RUN rm -rf /workspace && mkdir -p /workspace
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ADD . /workspace
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WORKDIR /workspace
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COPY . .
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RUN pip --no-cache-dir --no-cache install --user -r requirements.txt
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RUN python -m pip install --upgrade pip && \
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pip --no-cache-dir --no-cache install --user -r requirements.txt
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RUN pip install git+https://github.com/NVIDIA/dllogger
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ENV TF_XLA_FLAGS="--tf_xla_enable_lazy_compilation=false"
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RUN pip install git+https://github.com/NVIDIA/dllogger
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This repository supports
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- EfficientNet v1-B0 and v1-B4. Please see [here](efficientnet_v1/README.md) for the complete guide.
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- EfficientNet v2-S. Please see [here](efficientnet_v2/README.md) for the complete guide.

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