benchmark_inference

Overview ¶

Benchmark the inference speed of a model.

Usage example:

# Disable CPU power scaling
sudo apt install linux-cpupower
sudo cpupower frequency-set --governor performance

# Configure benchmark
MODEL=$(pwd)/learning/lib/ami/simple_ml/test_data/model/adult_gdt_classifier
DATASET=csv:$(pwd)/learning/lib/ami/simple_ml/test_data/dataset/adult.csv
BUILD_FLAGS="-c opt --copt=-mfma --copt=-mavx2"
RUN_OPTIONS="--model=${MODEL} \
	--dataset=${DATASET} \
	--batch_size=100 \
	--warmup_runs=10 \
	--num_runs=100"

# Benchmark
bazel run ${BUILD_FLAGS} \
	//third_party/yggdrasil_decision_forests/port/go/cli:benchmarkinference -- \
	${RUN_OPTIONS}

Naming convention:

• A (benchmark) "run" evaluates the speed of a model on a dataset.
• A "run" is composed of one of more "unit runs".
• A "unit run" measure the speed of a specific inference implementation (called "engine") with specific parameters (e.g. batchSize=10).