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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: d7c886338a25f6012fbacfe5f024acc3
tags: 645f666f9bcd5a90fca523b33c5a78b7
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292 changes: 292 additions & 0 deletions _sources/report.md.txt
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# v-extensions-riscv


### Commands used

````{note}

This section was generated using:

```bash
kenning optimize test \
--json-cfg \
kenning-scenarios/renode-magic-wand-iree-bare-metal-inference.json \
--measurements \
./results.json


```
````

### General information for magic_wand_fp32

*Model framework*:

* tensorflow ver. 2.11.1

*Input JSON*:

```json
{
"dataset": {
"type": "kenning.datasets.magic_wand_dataset.MagicWandDataset",
"parameters": {
"window_size": 128,
"window_shift": 128,
"noise_level": 20,
"dataset_root": "build/MagicWandDataset",
"inference_batch_size": 1,
"download_dataset": true,
"force_download_dataset": false,
"external_calibration_dataset": null,
"split_fraction_test": 0.2,
"split_fraction_val": null,
"split_seed": 1234
}
},
"model_wrapper": {
"type": "kenning.modelwrappers.classification.tflite_magic_wand.MagicWandModelWrapper",
"parameters": {
"window_size": 128,
"model_path": "/home/runner/.kenning/models/classification/magic_wand.h5",
"model_name": null
}
},
"protocol": {
"type": "kenning.protocols.uart.UARTProtocol",
"parameters": {
"port": "/tmp/uart",
"baudrate": 115200,
"packet_size": 4096,
"endianness": "little"
}
},
"runtime": {
"type": "kenning.runtimes.renode.RenodeRuntime",
"parameters": {
"runtime_binary_path": "/home/runner/work/kenning-bare-metal-iree-runtime/kenning-bare-metal-iree-runtime/build/build-riscv/iree-runtime/iree_runtime",
"platform_resc_path": "/home/runner/work/kenning-bare-metal-iree-runtime/kenning-bare-metal-iree-runtime/sim/config/springbok.resc",
"resc_dependencies": [
"/home/runner/work/kenning-bare-metal-iree-runtime/kenning-bare-metal-iree-runtime/sim/config/platforms/springbok.repl",
"/home/runner/work/kenning-bare-metal-iree-runtime/kenning-bare-metal-iree-runtime/third-party/iree-rv32-springbok/sim/config/infrastructure/SpringbokRiscV32.cs"
],
"disable_profiler": false,
"profiler_dump_path": "/home/runner/work/kenning-bare-metal-iree-runtime/kenning-bare-metal-iree-runtime/build/profiler.dump",
"profiler_interval_step": 10.0,
"sensor": null,
"batches_count": 10,
"disable_performance_measurements": false
}
},
"data_converter": {
"type": "kenning.dataconverters.modelwrapper_dataconverter.ModelWrapperDataConverter",
"parameters": {}
},
"optimizers": [
{
"type": "kenning.optimizers.iree.IREECompiler",
"parameters": {
"model_framework": "keras",
"backend": "llvm-cpu",
"compiler_args": [
"iree-llvm-debug-symbols=false",
"iree-vm-bytecode-module-strip-source-map=true",
"iree-vm-emit-polyglot-zip=false",
"iree-llvm-target-triple=riscv32-pc-linux-elf",
"iree-llvm-target-cpu=generic-rv32",
"iree-llvm-target-cpu-features=+m,+f,+zvl512b,+zve32x,+zve32f",
"iree-llvm-target-abi=ilp32"
],
"compiled_model_path": "/home/runner/work/kenning-bare-metal-iree-runtime/kenning-bare-metal-iree-runtime/build/tflite-magic-wand.vmfb",
"location": "host"
}
}
]
}

```
## Inference performance metrics for magic_wand_fp32


### Inference time

```{figure} img/inference_time.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_inferencetime
alt: Inference time
align: center
---

Inference time
```
* *First inference duration* (usually including allocation time): **0.0018240000000000478**,
* *Mean*: **0.0018483928571428633 s**,
* *Standard deviation*: **2.6891766246156007e-05 s**,
* *Median*: **0.0018420000000001213 s**.









## Inference quality metrics for magic_wand_fp32


```{figure} img/confusion_matrix.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_confusionmatrix
alt: Confusion matrix
align: center
---

Confusion matrix
```

* *Accuracy*: **1.0**
* *Mean precision*: **0.9999999995982457**
* *Mean sensitivity*: **0.9999999995982457**
* *G-mean*: **0.9999999995982457**
## Renode performance measurements for magic_wand_fp32


### Count of instructions used during inference

```{figure} img/instr_barplot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_instrbarplot
alt: Count of used instructions during inference
align: center
---

Histogram of used instructions during inference
```
```{figure} img/vector_instr_barplot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_vectorinstrbarplot
alt: Utilization of V Vector Extension instructions during inference
align: center
---

Histogram of V Vector Extension instructions during inference
```
### Executed instructions counters
```{figure} img/executed_instructions_cpu_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_cpu_executedinstrplotpath_persecond
alt: Count of executed instructions per second for cpu
align: center
---

Count of executed instructions per second for cpu during benchmark
```

```{figure} img/cumulative_executed_instructions_cpu_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_cpu_executedinstrplotpath_cumulative
alt: Cumulative count of executed instructions for cpu
align: center
---

Cumulative count of executed instructions for cpu during benchmark
```
### Memory access counters
```{figure} img/memory_reads_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_memoryreadsplotpath_persecond
alt: Count of memory reads per second
align: center
---

Count of memory reads per second during benchmark
```

```{figure} img/cumulative_memory_reads_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_memoryreadsplotpath_cumulative
alt: Cumulative count of memory reads
align: center
---

Cumulative count of memory reads during benchmark
```
```{figure} img/memory_writes_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_memorywritessplotpath_persecond
alt: Count of memory writes per second
align: center
---

Count of memory writes per second during benchmark
```

```{figure} img/cumulative_memory_writes_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_memorywritessplotpath_cumulative
alt: Cumulative count of memory writes
align: center
---

Cumulative count of memory writes during benchmark
```
### Peripheral access counters
```{figure} img/_uart0_reads_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_uart0_peripheralreadsplotpath_persecond
alt: Count of uart0 reads per second
align: center
---

Count of uart0 reads per second during benchmark
```

```{figure} img/cumulative_uart0_reads_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_uart0_peripheralreadsplotpath_cumulative
alt: Cumulative count of uart0 reads
align: center
---

Cumulative count of uart0 reads during benchmark
```

```{figure} img/_uart0_writes_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_uart0_peripheralwritesplotpath_persecond
alt: Count of uart0 writes per second
align: center
---

Count of uart0 writes per second during benchmark
```

```{figure} img/cumulative_uart0_writes_plot.*
---
name: performance_classification_and_renode_stats_of_magic_wand_fp32magic_wand_fp32_uart0_peripheralwritesplotpath_cumulative
alt: Cumulative count of uart0 writes
align: center
---

Cumulative count of uart0 writes during benchmark
```
### Instructions stats
* *Instructions counters per inference pass*: **241411**
* *V Vector Extension instructions percentage*: **13.562716111517204** %
* *Top 10 instructions and counters per inference pass*:
- *addi*: **44278**
- *sw*: **28276**
- *lw*: **27748**
- *vle32.v*: **13136**
- *bne*: **13047**
- *flw*: **12278**
- *bltu*: **11225**
- *vfmadd.vf*: **9552**
- *beq*: **9511**
- *lbu*: **9307**
### Memory allocation stats
* *Compiled model size*: **26944**

Host memory refers to memory of the CPU controlling the accelerator, while device memory is the memory of the accelerator.
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