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The host meets the requirements as described in Section 1.4, System Requirements
Resource | Note |
CPU | Intel ® |
CoreTM i5-6500 CPU@3.2GHz x4 with support of the |
Intel® Advanced Vector Extensions. | |
GPU | (Optional) |
NVIDIA® GPU cards with |
CUDA® architectures. A compatible version of CUDA and cuDNN is installed for TensorFlow | |
RAM | 8 GB at least |
Disk | 160 GB |
OS | Ubuntu 22.04 LTS 64-bit with Python 3.10, Ubuntu 20.04 LTS 64-bit with Python 3.8 (recommended), or Ubuntu 18.04 LTS 64-bit with Python 3. |
6 Note: Other Ubuntu versions are not recommended. |
1.2. Python Requirements
Ubuntu 22.04 with Python 3.10, Ubuntu 20.04 with Python 3.8, or Ubuntu 18.04 with Python 3.6 is set up.
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tensorflow==2.10.0 scipy networkx==1.11 lmdb==0.93 onnxoptimizer==0.3.1 onnx==1.12.0 dill==0.2.8.2 ruamel.yaml==0.15.81 ply==3.11 torch==1.5.1 |
acuity-toolkit-6.21.1
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tensorflow==2.12.0 scipy networkx==1.11 lmdb==0.93 protobuf==3.20.3 onnxoptimizer==0.3.13 onnx==1.14.0 dill==0.2.8.2 ruamel.yaml==0.15.81 ply==3.11 torch==1.5.1 |
1.3. VivanteIDE
The VivanteIDE is installed correctly if you want to generate NBG cases from the ACUITY Toolkit. Please refer to this document:
2. Binary Version
2.1.
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Install Procedure
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Extract the ACUITY package, Verisilicon_Tool_Acuity_Toolkit_<version>.tgz, to a destination directory. There are two versions of the toolkit, Please confirm the version that needs to be
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installed:
acuity-toolkit-binary-6.18.1
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acuity-toolkit-binary-6.21.
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1
From this directory, locate and unpack the binary package acuity-toolkit-binary-<version>.tgz. When the unpacking is completed, the installation finishes.
2.2.
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Toolkit Verification
Switch to the ./acuity-toolkit-binary-<version>/bin directory.
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Set the environment variable ACUITY_PATH as follows, which will used to execute the ACUITY binary
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tools
Execute binary file
Shell
复制代码
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123456789101112131415161718192021 user@linux:~/c3v/acuity-toolkit-binary-6.21.1/bin$ ./pegasus -hyangh yang.luo@ti-d630:~/c3v/acuity-toolkit-binary-6.21.1/bin$ ./pegasus usage: pegasus [-h] {import,export,generate,prune,inference,quantize,train,dump,measure,help} ... Pegasus commands. positional arguments: {import,export,generate,prune,inference,quantize,train,dump,measure,help} import Import models. export Export models. generate Generate metas. prune prune models. inference Inference model and get result. quantize Quantize model. train Train model. dump Dump model activations. measure Get amount of calculation, parameter and activation. help Print a synopsis and a list of commands. optional arguments: -h, --help show this help message and exit |
3. Wheel Version
3.1.
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Install Procedure
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Extract the ACUITY package, Verisilicon_Tool_Acuity_Toolkit_<version>.tgz, to a destination directory. There are two versions of the toolkit, Please confirm the toolkit version matches the Python version that needs to be installed：
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acuity-toolkit- whl-6.18.1-python-xxx
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acuity-toolkit- whl-6.21.1-python-xxx
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From this directory, locate and unpack the binary package acuity-toolkit-whl-<version>.tgz. select and install a Wheel package with the following commands:
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Shell
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1 pip3 install ./acuity-*.whl |
3
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.2. Toolkit Verification
Switch to the ./acuity-toolkit-whl-<version>/bin directory.
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Execute python file
Shell
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1234567891011121314151617181920 user@linux:~/c3v/acuity-toolkit-whl-6.21.1-python3.8.10/bin$ python pegasus.py -husageh usage: pegasus [-h] {import,export,generate,prune,inference,quantize,train,dump,measure,help} ... Pegasus commands. positional arguments: {import,export,generate,prune,inference,quantize,train,dump,measure,help} import Import models. export Export models. generate Generate metas. prune prune models. inference Inference model and get result. quantize Quantize model. train Train model. dump Dump model activations. measure Get amount of calculation, parameter and activation. help Print a synopsis and a list of commands. optional arguments: -h, --help show this help message and exit |
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