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docs: Fix TensorFlow word across the document

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This PR fixes the TensorFlow word across the document to have uniformity
across all the document.

Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
This commit is contained in:
Gabriela Cervantes 2023-08-15 17:48:27 +00:00
parent 1a1b207760
commit bade6a5c3b
2 changed files with 8 additions and 8 deletions
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10
tests/metrics/machine_learning/README.md
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@ -1,4 +1,4 @@
# Kata Containers Tensorflow Metrics
# Kata Containers TensorFlow Metrics
Kata Containers provides a series of performance tests using the
TensorFlow reference benchmarks (tf_cnn_benchmarks).
@ -30,16 +30,16 @@ Individual tests can be run by hand, for example:
$ cd metrics/machine_learning
$ ./tensorflow.sh 40 100
```
# Kata Containers Tensorflow `MobileNet` Metrics
# Kata Containers TensorFlow `MobileNet` Metrics
`MobileNets` are small, low-latency, low-power models parameterized to meet the resource
constraints of a variety of use cases. They can be built upon for classification, detection,
embeddings and segmentation similar to how other popular large scale models, such as Inception, are used.
`MobileNets` can be run efficiently on mobile devices with `Tensorflow` Lite.
Kata Containers provides a test for running `MobileNet V1` inference using Intel-Optimized `Tensorflow`.
Kata Containers provides a test for running `MobileNet V1` inference using Intel-Optimized `TensorFlow`.
## Running the `Tensorflow` `MobileNet` test
## Running the `TensorFlow` `MobileNet` test
Individual test can be run by hand, for example:
```
@ -50,7 +50,7 @@ $ ./tensorflow_mobilenet_benchmark.sh 25 60
# Kata Containers TensorFlow `ResNet50` Metrics
`ResNet50` is an image classification model pre-trained on the `ImageNet` dataset.
Kata Containers provides a test for running `ResNet50` inference using Intel optimized
Kata Containers provides a test for running `ResNet50` inference using Intel-Optimized
`TensorFlow`.
## Running the `TensorFlow` `ResNet50` test

6
tests/metrics/machine_learning/resnet50_int8_dockerfile/Dockerfile
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@ -13,9 +13,9 @@ LABEL DOCKERFILE_VERSION="1.0"
RUN apt-get update && \
apt-get install -y --no-install-recommends wget nano curl build-essential git && \
apt-get install -y python3.8 python3-pip && \
pip install intel-tensorflow-avx512==2.8.0 && \
pip install protobuf==3.20.* && \
wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/resnet50_int8_pretrained_model.pb && \
pip install --no-cache-dir intel-tensorflow-avx512==2.8.0 && \
pip install --no-cache-dir protobuf==3.20.* && \
wget -q https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/resnet50_int8_pretrained_model.pb && \
git clone https://github.com/IntelAI/models.git
CMD ["/bin/bash"]