#!/usr/bin/env python3 # SPDX-License-Identifier: Apache-2.0 """Device BEVPool kernel probe (tt.bevpool_k, OPT_REPORT round 7): error anatomy per row tile for a few chunk sizes and debug defines, against the float64 model. ``python code/scripts/probe_bpk.py`` under bin/devrun.""" import sys from pathlib import Path import numpy as np sys.path.insert(0, str(Path(__file__).resolve().parents[1])) from tt_bevdet.tests import test_bevpool_k_device as T # noqa: E402 from tt_bevdet.tt.bevpool_k import BEVPoolK # noqa: E402 def main(): from tt_bevdet.device import close_device, open_device dev = open_device(None, allow_fallback=False) try: rng = np.random.default_rng(2) n_cells, n_pix = 128, 256 rb = np.r_[rng.integers(0, 32, 32 * 40 + 7), rng.integers(32, 128, 300)] pix = rng.integers(0, n_pix, rb.size) dbin = rng.integers(0, T.CFG.n_depth, rb.size) src = T._src(n_pix, 0) ref = BEVPoolK.reference(src, rb, pix, dbin, n_cells, T.DW, T.C) mag = T._abs_sum(src, rb, pix, dbin, n_cells) gx, _ = T._grid(dev) for chunk, fid, distinct in ((16, "HiFi4", False), (16, "HiFi4", True), (1, "HiFi4", True)): k = BEVPoolK(n_cells=n_cells, n_pix=n_pix, depth_w=T.DW, channels=T.C, n_cores=4, grid_x=gx, chunk=chunk, block_cap=512, fidelity=fid) tab = k.table(rb, pix, dbin, exact=distinct) s_d, t_d = T._to_dev(dev, src, True), T._table_dev(dev, tab) o = T._out(dev, n_cells) k(s_d, t_d, o) out = T._read(o) err = np.abs(out.astype(np.float64) - ref) ulp = np.maximum(np.abs(ref), 1e-38) * 2.0 ** -7 ex = (err - ulp) / np.maximum(mag, 1e-30) per_rt = ex.reshape(4, 32, -1).max(axis=(1, 2)) rel = err / np.maximum(np.abs(ref), 1e-30) print(f"chunk {chunk:3d} {fid} distinct {distinct}: max excess per row tile {np.array2string(per_rt, precision=3)}; " f"ulps>1: {int((T._ulps(out, ref) > 1).sum())}; rt0 max rel err {rel[:32].max():.3g}", flush=True) finally: close_device(dev) if __name__ == "__main__": main()