eusonice
166 lines
6.0 KiB
Python
166 lines
6.0 KiB
Python
"""B: per-cube trade-off (mode comparison, variant-invariant)
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C: GEMM util ablation (A1 only, variant comparison)
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Output: docs/report/1H-codesign-paper/figures/gqa_short_context/
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"""
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from __future__ import annotations
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import csv
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from pathlib import Path
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import matplotlib.pyplot as plt
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import numpy as np
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ROOT = Path("/Users/lalicorne/Desktop/ahbm/kernbench2")
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SWEEPS = ROOT / "docs" / "sweeps"
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OUT = ROOT / "docs" / "report" / "1H-codesign-paper" / "figures" / "gqa_short_context"
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OUT.mkdir(parents=True, exist_ok=True)
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CONTEXTS = [8192, 16384, 32768, 65536]
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CONTEXT_LABELS = ["8K", "16K", "32K", "64K"]
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MODES = ["A1", "A2", "A4", "B"]
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MODE_LABEL = {"A1": "1-kv-per-cube", "A2": "2-kv-per-cube",
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"A4": "4-kv-per-cube", "B": "8-kv-per-cube"}
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MODE_COLOR = {MODE_LABEL["A1"]: "#1f77b4",
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MODE_LABEL["A2"]: "#2ca02c",
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MODE_LABEL["A4"]: "#ffd000",
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MODE_LABEL["B"]: "#d62728"}
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VARIANTS = [
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("baseline", "(1) without composite"),
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("composite", "(2) with composite (GEMM-only)"),
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("composite_fused", "(3) with composite + softmax_merge"),
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]
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VARIANT_COLOR = {
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"baseline": "#1f77b4",
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"composite": "#2ca02c",
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"composite_fused": "#d62728",
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}
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CSV_MAP = {
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("decode", "baseline"): SWEEPS / "short_context_decode_sweep.csv",
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("decode", "composite"): SWEEPS / "short_context_decode_composite_sweep.csv",
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("decode", "composite_fused"): SWEEPS / "short_context_decode_composite_fused_sweep.csv",
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("prefill", "baseline"): SWEEPS / "short_context_prefill_sweep.csv",
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("prefill", "composite"): SWEEPS / "short_context_prefill_composite_sweep.csv",
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("prefill", "composite_fused"): SWEEPS / "short_context_prefill_composite_fused_sweep.csv",
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}
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def load(phase, variant):
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"""{(mode, S_kv): row dict}."""
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rows = {}
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with CSV_MAP[(phase, variant)].open() as f:
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for r in csv.DictReader(f):
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rows[(r["mode"], int(r["S_kv"]))] = r
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return rows
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def _grouped_bars(ax, x_labels, groups, group_color, ylabel, title,
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log=False, value_fmt="{:.3g}"):
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n = len(groups)
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nx = len(x_labels)
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width = 0.8 / n
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x = np.arange(nx)
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for i, (label, values) in enumerate(groups):
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offset = (i - (n - 1) / 2) * width
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bars = ax.bar(x + offset, values, width, label=label,
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color=group_color[label], edgecolor="black",
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linewidth=0.4)
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for bar, v in zip(bars, values):
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if v <= 0 and log:
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continue
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ax.text(bar.get_x() + bar.get_width() / 2,
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bar.get_height(),
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value_fmt.format(v), ha="center", va="bottom",
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fontsize=7)
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ax.set_xticks(x)
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ax.set_xticklabels(x_labels)
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ax.set_xlabel("S_kv")
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ax.set_ylabel(ylabel)
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ax.set_title(title)
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if log:
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ax.set_yscale("log")
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ax.grid(True, axis="y", alpha=0.3, which="both")
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ax.legend(fontsize=8, loc="upper left")
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# ── B: per-cube trade-off (mode comparison, variant 1 baseline) ──
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def fig_b_per_cube_tradeoff():
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"""3 metrics × 2 phases — mode comparison.
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Compute path doesn't affect HBM/IPCQ/KV cost (variant-invariant);
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use variant 1 baseline rows.
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"""
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fig, axes = plt.subplots(2, 2, figsize=(13, 9))
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METRICS = [
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("hbm_bw_util", "HBM BW utilization (per PE)", False, "{:.3f}"),
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("ipcq_kb", "IPCQ traffic (KB)", True, "{:.1f}"),
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]
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for row, (key, ylabel, log, fmt) in enumerate(METRICS):
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for col, phase in enumerate(("prefill", "decode")):
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ax = axes[row][col]
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rows = load(phase, "baseline")
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groups = []
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for mode in MODES:
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values = [float(rows[(mode, s)][key]) for s in CONTEXTS]
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groups.append((MODE_LABEL[mode], values))
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_grouped_bars(ax, CONTEXT_LABELS, groups, MODE_COLOR,
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ylabel=ylabel,
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title=f"{phase.capitalize()}",
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log=log, value_fmt=fmt)
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fig.suptitle(
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"Per-cube trade-off: HBM BW + IPCQ mode comparison",
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fontsize=12, fontweight="bold")
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fig.tight_layout()
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out = OUT / "per_cube_tradeoff_mode_compare.png"
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fig.savefig(out, dpi=140, bbox_inches="tight")
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plt.close(fig)
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print(f" ✓ {out}")
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# ── C: GEMM util ablation (A1, variant compare) ──
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def fig_c_gemm_util_ablation():
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"""A1 only; x=S_kv, grouped bars per variant; 2 panels (prefill/decode).
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NOTE annotation: gemm_util gap is largely supertile padding overhead
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(M=8 < TILE_M=32), not pure fusion gain. See ADR-0070 limitation #4.
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"""
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fig, axes = plt.subplots(1, 2, figsize=(13, 5.4))
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for ax, phase in zip(axes, ("prefill", "decode")):
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groups = []
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for variant_key, _ in VARIANTS:
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rows = load(phase, variant_key)
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values = [float(rows[("A1", s)]["gemm_util"]) for s in CONTEXTS]
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groups.append((variant_key, values))
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_grouped_bars(ax, CONTEXT_LABELS, groups, VARIANT_COLOR,
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ylabel="GEMM engine utilization (per PE)",
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title=f"{phase.capitalize()}",
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log=False, value_fmt="{:.4f}")
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# Replace legend with readable labels
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ax.legend([v[1] for v in VARIANTS], fontsize=8, loc="upper left")
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fig.suptitle("1-kv-per-cube: GEMM utilization variant comparison",
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fontsize=12, fontweight="bold")
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fig.text(
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0.5, -0.04,
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"⚠ Higher gemm_util on composite/fused is largely supertile "
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"padding overhead (M=G=8 padded to TILE_M=32), not pure fusion "
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"gain. See ADR-0070 limitation #4.",
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ha="center", fontsize=9, style="italic", color="#555")
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fig.tight_layout()
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out = OUT / "gemm_util_a1_variant_ablation.png"
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fig.savefig(out, dpi=140, bbox_inches="tight")
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plt.close(fig)
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print(f" ✓ {out}")
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if __name__ == "__main__":
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print(f"Output: {OUT}")
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fig_b_per_cube_tradeoff()
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fig_c_gemm_util_ablation()
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print("\nDone.")
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