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authorSamuel Yap <samuel.yap@arm.com>2022-08-08 14:07:42 +0100
committerNikhil Raj <nikhil.raj@arm.com>2022-08-30 17:03:33 +0100
commitdc8ed9d75e54e914a970e137900930fa64a0782b (patch)
tree8bcaedaae81a6afbdbe3c9a4e69e45840f18cdb4 /python/pyarmnn/README.md
parent9c9d5b9d796d243d88bd7a7aebb2e7e6c467e3a4 (diff)
downloadarmnn-dc8ed9d75e54e914a970e137900930fa64a0782b.tar.gz
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 <samuel.yap@arm.com> Change-Id: Ibe5242a8a5bf604c13de0dc65844fd6c421cc667
Diffstat (limited to 'python/pyarmnn/README.md')
-rw-r--r--python/pyarmnn/README.md14
1 files changed, 7 insertions, 7 deletions
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