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metrics: Update machine learning documentation

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This PR updates the machine learning documentation related with
Tensorflow and Pytorch benchmarks.

Fixes #7359

Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
This commit is contained in:
Gabriela Cervantes
2023-07-17 16:17:39 +00:00
parent d50f3888af
commit 8ccc1e5c93
1 changed files with 7 additions and 4 deletions
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tests/metrics/machine_learning/README.md
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@@ -3,7 +3,10 @@
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).
The tf_cnn_benchmarks containers TensorFlow implementations of several The tf_cnn_benchmarks containers TensorFlow implementations of several
popular convolutional models. popular convolutional models https://github.com/tensorflow/benchmarks/tree/master/scripts/tf_cnn_benchmarks.
Currently the TensorFlow benchmark on Kata Containers includes test for
the `AxelNet` and `ResNet50` models.
## Running the test ## Running the test
@@ -15,9 +18,9 @@ $ ./tensorflow.sh 25 60
``` ```
# Kata Containers Pytorch Metrics # Kata Containers Pytorch Metrics
Kata Containers provides a series of performance tests using Pytorch Based on a suite of Python high performance computing benchmarks that
benchmarks based on a suite of Python high performance computing uses various popular Python HPC libraries using Python
benchmarks. https://github.com/dionhaefner/pyhpc-benchmarks.
## Running the Pytorch test ## Running the Pytorch test