nsx-cmsis-nn
Algorithm
nsx-cmsis-nn
Ambiq-optimized CMSIS-NN neural network kernels. Fork of ARM CMSIS-NN with MVE and DSP optimizations for Apollo SoCs.
cmsis_nnneural_network_kernelsquantized_inferencefloat_inferencedsp_accelerationmve_acceleration
ns-cmsis-nn at v7.47.0
Add it to an app
Section titled “Add it to an app”nsx module add nsx-cmsis-nnCapabilities
Section titled “Capabilities”- cmsis_nn
- neural_network_kernels
- quantized_inference
- float_inference
- dsp_acceleration
- mve_acceleration
Use cases
Section titled “Use cases”- quantized neural network inference on Cortex-M
- optimized convolution and fully-connected kernels
- int8/int16/int4 quantized model support
- fp32/fp16 floating-point model support
Requires
Section titled “Requires”Compatibility
Section titled “Compatibility”| Kind | Declared |
|---|---|
| Boards | * |
| SoCs | * |
| Toolchains | arm-none-eabi-gcc, armclang, atfe |
Agent keywords
Section titled “Agent keywords”cmsis-nn, ns-cmsis-nn, kernels, quantization, inference, dsp, mve, fp32, fp16, float
Source
Section titled “Source”| Field | Value |
|---|---|
| Type | Algorithm |
| Version | 7.47.0 |
| Project | ns-cmsis-nn |
| Revision | v7.47.0 |
| Manifest | modules/ns-cmsis-nn/nsx/nsx-module.yaml |
| Repository | ns-cmsis-nn |
Back to the module catalog.