v-extensions-riscv¶

Commands used¶

Note

This section was generated using:

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

kenning report \
    --report-types \
        performance \
        classification \
        renode_stats \
    --report-path \
        springbok-magic-wand/report.md \
    --report-name \
        v-extensions-riscv \
    --model-names \
        magic_wand_fp32 \
    --measurements \
        results.json \
    --verbosity \
        INFO \
    --to-html \
        report-html

General information for magic_wand_fp32¶

Model framework:

tensorflow ver. 2.11.1

Input 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": "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": "build/build-riscv/iree-runtime/iree_runtime",
            "platform_resc_path": "sim/config/springbok.resc",
            "resc_dependencies": [
                "sim/config/platforms/springbok.repl",
                "third-party/iree-rv32-springbok/sim/config/infrastructure/SpringbokRiscV32.cs"
            ],
            "zephyr_build_path": null,
            "post_start_commands": [
                "sysbus.vec_controlblock WriteDoubleWord 0xc 0"
            ],
            "runtime_log_uart": null,
            "runtime_log_init_msg": "Runtime started",
            "disable_profiler": false,
            "profiler_dump_path": "build/profiler.dump",
            "profiler_interval_step": 10.0,
            "sensor": null,
            "batches_count": 10,
            "llext_binary_path": null,
            "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": "./build/tflite-magic-wand.vmfb",
                "location": "host"
            }
        }
    ]
}

Inference performance metrics for magic_wand_fp32¶

Inference time¶

Bokeh Application

Figure 1 Inference time¶

First inference duration (usually including allocation time): 0.001839629999999648,
Mean: 0.0018446725714285485 s,
Standard deviation: 4.016429811897224e-05 s,
Median: 0.0018550200000000405 s.

Inference quality metrics for magic_wand_fp32¶

Bokeh Plot

Figure 2 Confusion matrix¶

Accuracy: 1.0
Mean precision: 0.9999999996266236
Mean sensitivity: 0.9999999996266236
G-mean: 0.9999999996266236

Renode performance measurements for magic_wand_fp32¶

Count of instructions used during inference¶

Bokeh Plot

Figure 3 Histogram of used instructions during inference¶

Bokeh Plot

Figure 4 Histogram of V Vector Extension instructions during inference¶

Executed instructions counters¶

Bokeh Application

Figure 5 Count of executed instructions per second for cpu during benchmark¶

Bokeh Plot

Figure 6 Cumulative count of executed instructions for cpu during benchmark¶

Memory access counters¶

Bokeh Application

Figure 7 Count of memory reads per second during benchmark¶

Bokeh Plot

Figure 8 Cumulative count of memory reads during benchmark¶

Bokeh Application

Figure 9 Count of memory writes per second during benchmark¶

Bokeh Plot

Figure 10 Cumulative count of memory writes during benchmark¶

Peripheral access counters¶

Bokeh Application

Figure 11 Count of uart0 reads per second during benchmark¶

Bokeh Plot

Figure 12 Cumulative count of uart0 reads during benchmark¶

Bokeh Application

Figure 13 Count of uart0 writes per second during benchmark¶

Bokeh Plot

Figure 14 Cumulative count of uart0 writes during benchmark¶

Instructions stats¶

Instructions counters per inference pass: 238152
V Vector Extension instructions percentage: 13.748338473998853 %
Top 10 instructions and counters per inference pass:
- addi: 44280
- sw: 28278
- lw: 27386
- vle32.v: 13136
- bne: 12684
- flw: 12278
- bltu: 10499
- vfmadd.vf: 9552
- beq: 9149
- lbu: 8945

Memory allocation stats¶

Host bytes peak: 1536
Host bytes allocated: 215040
Host bytes freed: 213504
Device bytes peak: 33536
Device bytes allocated: 2329536
Device bytes freed: 2312752
Compiled model size: 26944

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

Last update: 2024-11-15