446a9269bb
A separate crate with its own lockfile, as quantum-meter is. Per committed vector and per path (the CPU's default kernels on every core, then each adapter found): two warm-up decodes, then decodes back to back for at least the given seconds and count, each compared byte for byte with the CPU's output; the line gives the count, median and 10th/90th percentiles. Energy is read at the two ends of the timed loop only: on macOS this process's CPU energy and GPU share (IOReport, which gives no GPU figure where the GPU was shared) with the GPU rail over the window as an upper bound; on Linux RAPL package-0 and, with the NVIDIA driver, its cumulative board energy counter, after an idle window that gives each counter's idle power. Co-Authored-By: Claude Opus 5.5 <[email protected]>
32 lines
1.3 KiB
TOML
32 lines
1.3 KiB
TOML
# Time and energy of the integer decoders with their graphs on the CPU and on a GPU
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# (wai-rs `ops_gpu`), per capability, on the committed vectors.
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#
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# A SEPARATE crate with its own lockfile, as quantum-meter is: the energy sources it reads
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# (this process's CPU and GPU counters on macOS, RAPL package energy and the NVIDIA
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# driver's cumulative energy counter on Linux) belong with the tool that reads them, and
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# never compile in wai-rs's own builds or tests.
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[package]
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name = "ops-gpu-bench"
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version = "0.0.0"
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edition = "2024"
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rust-version = "1.97"
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license = "Apache-2.0"
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publish = false
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[dependencies]
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wai = { path = "../../wai-rs", default-features = false, features = ["ops_gpu", "video_int", "audio_int", "splat_int", "world_int"] }
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wai-ops = { path = "../../wai-ops" }
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serde_json = "1"
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# On macOS on Apple Silicon: this process's CPU energy and its share of the GPU rail
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# (IOReport), the span meter quantum-meter uses.
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[target.'cfg(target_os = "macos")'.dependencies]
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jouleclaw-energy = { path = "../../../jouleclaw/jouleclaw-rs/crates/jouleclaw-energy", default-features = false, features = ["ioreport"] }
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# On Linux: the NVIDIA driver's library is opened at run time, so a host without it
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# builds and reports no GPU energy.
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[target.'cfg(target_os = "linux")'.dependencies]
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libc = "0.2"
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[profile.release]
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debug = false
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