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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 Kata Containers provides a series of performance tests using the
TensorFlow reference benchmarks (tf_cnn_benchmarks). TensorFlow reference benchmarks (tf_cnn_benchmarks).
@ -30,16 +30,16 @@ Individual tests can be run by hand, for example:
$ cd metrics/machine_learning $ cd metrics/machine_learning
$ ./tensorflow.sh 40 100 $ ./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 `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, 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. 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. `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: Individual test can be run by hand, for example:
``` ```
@ -50,7 +50,7 @@ $ ./tensorflow_mobilenet_benchmark.sh 25 60
# Kata Containers TensorFlow `ResNet50` Metrics # Kata Containers TensorFlow `ResNet50` Metrics
`ResNet50` is an image classification model pre-trained on the `ImageNet` dataset. `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`. `TensorFlow`.
## Running the `TensorFlow` `ResNet50` test ## Running the `TensorFlow` `ResNet50` test

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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 && \ RUN apt-get update && \
apt-get install -y --no-install-recommends wget nano curl build-essential git && \ apt-get install -y --no-install-recommends wget nano curl build-essential git && \
apt-get install -y python3.8 python3-pip && \ apt-get install -y python3.8 python3-pip && \
pip install intel-tensorflow-avx512==2.8.0 && \ pip install --no-cache-dir intel-tensorflow-avx512==2.8.0 && \
pip install protobuf==3.20.* && \ pip install --no-cache-dir protobuf==3.20.* && \
wget https://storage.googleapis.com/intel-optimized-tensorflow/models/v1_8/resnet50_int8_pretrained_model.pb && \ 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 git clone https://github.com/IntelAI/models.git
CMD ["/bin/bash"] CMD ["/bin/bash"]