From dc8ed9d75e54e914a970e137900930fa64a0782b Mon Sep 17 00:00:00 2001 From: Samuel Yap Date: Mon, 8 Aug 2022 14:07:42 +0100 Subject: IVGCVSW-7105: BatchMatMul Optional Parameter Support * Added transpose parameters to pre-transpose each input tensor's slices * Added adjoint parameters to pre-adjoint each input tensor's slices * Small refactoring (BatchMatMulDescriptor static helpers and BatchMatMulImpl constructor) * Updated input validation and output shape inference for parameters * Additional layer unit tests for parameters added * Versionings incremented Signed-off-by: Samuel Yap Change-Id: Ibe5242a8a5bf604c13de0dc65844fd6c421cc667 --- python/pyarmnn/README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) (limited to 'python/pyarmnn/README.md') diff --git a/python/pyarmnn/README.md b/python/pyarmnn/README.md index 547a868316..5e8ceb4b67 100644 --- a/python/pyarmnn/README.md +++ b/python/pyarmnn/README.md @@ -91,14 +91,14 @@ This step will put all generated files under `./src/pyarmnn/_generated` folder a ```bash $ python setup.py sdist ``` -As the result you will get `./dist/pyarmnn-30.0.0.tar.gz` file. As you can see it is platform independent. +As the result you will get `./dist/pyarmnn-31.0.0.tar.gz` file. As you can see it is platform independent. ##### 5. Build the binary package ```bash $ python setup.py bdist_wheel ``` -As the result you will get something like `./dist/pyarmnn-30.0.0-cp36-cp36m-linux_x86_64.whl` file. As you can see it +As the result you will get something like `./dist/pyarmnn-31.0.0-cp36-cp36m-linux_x86_64.whl` file. As you can see it is platform dependent. # PyArmNN installation @@ -107,8 +107,8 @@ PyArmNN can be distributed as a source package or a binary package (wheel). Binary package is platform dependent, the name of the package will indicate the platform it was built for, e.g.: -* Linux x86 64bit machine: pyarmnn-30.0.0-cp36-cp36m-*linux_x86_64*.whl -* Linux Aarch 64 bit machine: pyarmnn-30.0.0-cp36-cp36m-*linux_aarch64*.whl +* Linux x86 64bit machine: pyarmnn-31.0.0-cp36-cp36m-*linux_x86_64*.whl +* Linux Aarch 64 bit machine: pyarmnn-31.0.0-cp36-cp36m-*linux_aarch64*.whl The source package is platform independent but installation involves compilation of Arm NN python extension. You will need to have g++ compatible with C++ 14 standard and a python development library installed on the build machine. @@ -126,7 +126,7 @@ $ gcc --print-search-dirs ``` Install PyArmNN from binary by pointing to the wheel file: ```bash -$ pip install /path/to/pyarmnn-30.0.0-cp36-cp36m-linux_aarch64.whl +$ pip install /path/to/pyarmnn-31.0.0-cp36-cp36m-linux_aarch64.whl ``` ## Installing from source package @@ -145,7 +145,7 @@ $ export ARMNN_INCLUDE=/full/path/to/armnn/include:/full/path/to/armnn/profilin Install PyArmNN as follows: ```bash -$ pip install /path/to/pyarmnn-30.0.0.tar.gz +$ pip install /path/to/pyarmnn-31.0.0.tar.gz ``` If PyArmNN installation script fails to find Arm NN libraries it will raise an error like this @@ -159,7 +159,7 @@ $ pip show pyarmnn You can also verify it by running the following and getting output similar to below: ```bash $ python -c "import pyarmnn as ann;print(ann.GetVersion())" -'30.0.0' +'31.0.0' ``` # PyArmNN API overview -- cgit v1.2.1