diff options
| author | Tracy Narine <tracy.narine@arm.com> | 2024-01-17 13:14:28 +0000 |
|---|---|---|
| committer | Tracy Narine <tracy.narine@arm.com> | 2024-01-17 13:38:01 +0000 |
| commit | 8ea6c2d43394ce5f8dd4bc136f897e2df7a63d07 (patch) | |
| tree | 3e91e3736fa23f4b9f387dbb2466f44c65c2c083 /delegate | |
| parent | 87f598feaf27463e32ab55864c0455eae8248018 (diff) | |
| download | armnn-8ea6c2d43394ce5f8dd4bc136f897e2df7a63d07.tar.gz | |
IVGCVSW-8202 Update documents after TF 2.15 update
* Updated .md files with new version number
Signed-off-by: Tracy Narine <tracy.narine@arm.com>
Change-Id: I351d141838b95aca29f3ebe43f7e2f9944ec3417
Diffstat (limited to 'delegate')
| -rw-r--r-- | delegate/DelegateQuickStartGuide.md | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/delegate/DelegateQuickStartGuide.md b/delegate/DelegateQuickStartGuide.md index d6fc487f2b..9e4d3e9106 100644 --- a/delegate/DelegateQuickStartGuide.md +++ b/delegate/DelegateQuickStartGuide.md @@ -36,11 +36,11 @@ print(output_data) # Prepare the environment Pre-requisites: - * Dynamically build Arm NN Delegate library or download the Arm NN binaries (built with a particular SHA of Tensorflow v2.14.0, which is 4dacf3f368eb7965e9b5c3bbdd5193986081c3b2) + * Dynamically build Arm NN Delegate library or download the Arm NN binaries (built with a particular SHA of Tensorflow v2.15.0, which is 6887368d6d46223f460358323c4b76d61d1558a8) * python3 (Depends on TfLite version) * virtualenv * numpy (Depends on TfLite version) - * tflite_runtime (v2.14.0 currently available) + * tflite_runtime (v2.15.0 currently available) If you haven't built the delegate yet then take a look at the [build guide](./BuildGuideNative.md). Otherwise, you can download the binaries [here](https://github.com/ARM-software/armnn/releases/). Set the following environment variable to the location of the .so binary files: @@ -50,7 +50,7 @@ export LD_LIBRARY_PATH=<path_to_so_binary_files> We recommend creating a virtual environment for this tutorial. For the following code to work python3 is needed. Please also check the documentation of the TfLite version you want to use. There might be additional prerequisites for the python -version. We will use Tensorflow Lite 2.14.0 for this guide. +version. We will use Tensorflow Lite 2.15.0 for this guide. ```bash # Install python3 (We ended up with python3.5.3) and virtualenv sudo apt-get install python3-pip @@ -74,10 +74,10 @@ mobile and embedded devices. The TfLite [website](https://www.tensorflow.org/lite/guide/python) shows you two methods to download the `tflite_runtime` package. In our experience, the use of the pip command works for most systems including debian. However, if you're using an older version of Tensorflow, you may need to build the pip package from source. You can find more information [here](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/tools/pip_package/README.md). -But in our case, with Tensorflow Lite 2.14.0, we can install through: +But in our case, with Tensorflow Lite 2.15.0, we can install through: ``` -pip3 install --extra-index-url https://google-coral.github.io/py-repo/ tflite_runtime==2.14.0 +pip3 install --extra-index-url https://google-coral.github.io/py-repo/ tflite_runtime==2.15.0 ``` Your virtual environment is now all setup. Copy the final python script into a python file e.g. |