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PROMPT.txt
benchmark.py
check.py
problem.yaml
reference.py
shapes.py
sota.py

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"""Naive top-k reference: torch.topk over the last dim.

This is the correctness oracle. The agent's solution must produce the same
top-k values (and equivalent indices modulo ties) within the tolerance
declared in problem.yaml. Note that solution.py is FORBIDDEN from calling
torch.topk / torch.sort / torch.kthvalue (see problem.yaml).
"""
import torch
import torch.nn as nn

OP_TYPE = "topk"
SUPPORTED_PRECISIONS = ["fp32"]
HARDWARE_REQUIRED = ["RTX_PRO_6000", "H100", "B200"]


class Model(nn.Module):
    """Top-k over the last dim of a 2D tensor.

    Input:
        x: (batch, n) fp32
    Output:
        values:  (batch, k) fp32, sorted descending
        indices: (batch, k) int64, into the last dim of x
    """

    def __init__(self, batch: int, n: int, k: int):
        super().__init__()
        self.batch, self.n, self.k = batch, n, k
        # No learned parameters, but declare a dummy buffer so state_dict
        # is non-empty and load_state_dict(strict=True) is meaningful.
        self.register_buffer("_dummy", torch.zeros(1))

    def forward(self, x: torch.Tensor):
        values, indices = torch.topk(x, k=self.k, dim=-1, largest=True, sorted=True)
        return values, indices


# Module-level shims rebuilt by check.py / benchmark.py per shape.
batch = 64
n = 8192
k = 8


def get_inputs():
    # fp32 input drawn from a roughly Gaussian distribution; ties unlikel

... (165 more chars)

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"""Correctness runner for TopK.

Runs solution.Model vs reference.Model across all shapes in shapes.py, 3 seeds
each. Top-k correctness has two parts:

  1. VALUES: sol_values must match ref_values within fp32 tol. Both are
     returned sorted descending, so positional comparison is well-defined.
  2. INDICES: lenient — we do NOT require sol_indices == ref_indices because
     ties in x can yield multiple valid index sets. Instead we gather x at
     sol_indices and check those values match ref_values within tol. This
     catches "wrong indices" without false-failing on legitimate tie-breaks.

Also rejects forbidden ops by grep.
"""
import re
import sys
from pathlib import Path

import torch
import yaml

REPO_ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(REPO_ROOT))

from src.eval.correctness import check_correctness  # noqa: E402
from src.eval.numeric_stress import (  # noqa: E402
    numeric_stress_cases,
    numeric_stress_context,
    tolerance_for_case,
)


def main():
    try:
        import reference
        import shapes
        import solution
    except Exception as e:
        print(f"FAIL: import error: {e}")
        sys.exit(1)

    problem_yaml = Path("problem.yaml")
    meta = yaml.safe_load(problem_yaml.read_text()) if problem_yaml.exists() else {}

    # --- Forbidden-op check ------------------------------------------------
    sol_sr

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"""Roofline benchmark for TopK.

For each shape: times eager reference (torch.topk), compiled reference, SOTA
(also torch.topk — see sota.py), and the agent's solution. Reports achieved
TFLOPS, GB/s, and peak_fraction (vs DRAM bandwidth, since this is memory-bound).

Output lines the harness picks up:
  shape=<idx> variant=<name> tflops=<N> gbps=<N> ms=<N>
  peak_fraction: <N>  (geomean over shapes of solution's peak_fraction)
"""
import sys
from math import exp, log
from pathlib import Path

import torch
import yaml

REPO_ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(REPO_ROOT))

from src.eval.roofline import compute_gbps, compute_tflops, peak_fraction  # noqa: E402
from src.eval.timing import benchmark_baselines_enabled, time_variant  # noqa: E402
from src.hardware import get as get_hw  # noqa: E402


def _eval_formula(expr: str, vars: dict) -> float:
    return float(eval(expr, {"__builtins__": {}}, vars))


def main():
    import reference
    import shapes
    import solution

    meta = yaml.safe_load(Path("problem.yaml").read_text())
    hw = get_hw(meta["hardware"][0])
    peak_tflops = hw.peak_tflops_dense.get(meta["peak_tflops_key"], 0.0)
    peak_gbps = hw.peak_bandwidth_gb_s
    regime = meta.get("regime", "memory")
    flops_formula = meta["flops_formula"]
    bytes_formula = meta["bytes_formula"]
    num_perf_trials = int(meta.get("num_per

... (3681 more chars)

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Output:
./PROMPT.txt
./benchmark.py
./check.py
./problem.yaml
./reference.py
./shapes.py
./sota.py

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"""Canonical shape sweep for TopK.

Mix of:
  - decoder vocab top-k (single sequence, very large n, moderate k) — pure
    bandwidth test; the input read dominates everything.
  - prefill / batched attention top-k (many rows, moderate n, small k) — tests
    per-row parallelism and shared-memory bitonic networks.
  - non-power-of-2 n stress case — bitonic sort networks naturally want
    powers of two; this forces the agent to handle padding or partial sorts.
  - small-k limit — k=1 (argmax) is a degenerate but useful sanity case.
"""

SHAPES = [
    {"batch": 1,   "n": 131072, "k": 64},   # decoder vocab top-k (Llama vocab ~128k)
    {"batch": 64,  "n": 8192,   "k": 8},    # prefill / attention top-k
    {"batch": 32,  "n": 16384,  "k": 32},   # mid-size batched
    {"batch": 16,  "n": 12000,  "k": 16},   # non-power-of-2 n stress
    {"batch": 128, "n": 4096,   "k": 1},    # batched argmax (k=1 corner case)
]

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name: 05_topk_bitonic
display_name: "TopK via Bitonic Sort"
precision: fp32
regime: memory

# Top-k is dominated by the input read (small output, no reduction over k).
# Comparator-network FLOPs are not the bottleneck on real hardware, so we
# track them but score on bandwidth.
flops_formula: "batch * n * 4"            # ~O(n log^2 n) compares total, but the
                                          # bitonic network is so cheap relative
                                          # to memory that a coarse 4*n estimate
                                          # is fine for telemetry only.
bytes_formula: "batch * n * 4 + batch * k * (4 + 8)"  # fp32 input read + (fp32 value + int64 idx) output

hardware: [RTX_PRO_6000]
peak_tflops_key: fp32
peak_bandwidth_key: dram

# Top-k correctness:
#   - VALUES must match within fp32 atol/rtol (the kth largest value is
#     well-defined modulo float-equal ties, so we use a loose-ish tol).
#   - INDICES are checked leniently: for each row, the multiset of returned
#     indices must select values that match ref values within tol. Direct
#     index equality is NOT required (ties in x can yield different valid
#     index sets).
tolerance:
  float32: 1.0e-4

# Forbidden ops — using any of these in solution.py fails correctness post-hoc.
# This problem is about IMPLEMENTING the selection, not dispatching to PyTorch's
# tuned top-k. torch.s

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"""SOTA reference for TopK: torch.topk itself.

torch.topk dispatches to a CUB-backed kernel that uses radix-select for
moderate k and a tuned bitonic sort for small n. It is the bar the agent's
hand-rolled bitonic kernel must beat. There is no obvious vendor library that
does better on the (batch, n, k) shape mix we evaluate — Faiss BlockSelect is
specialized for k>=32 with much larger n, and CUB's DeviceSegmentedRadixSort
sorts the full row (overkill for top-k).

This file is INTENTIONALLY allowed to call torch.topk because it is the SOTA
oracle, not the agent's submission. The agent's solution.py is forbidden from
using torch.topk (see problem.yaml.forbidden).
"""
from __future__ import annotations

import torch


def sota_forward(x: torch.Tensor, k: int):
    """Best-available top-k reference. x: (batch, n) fp32."""
    return torch.topk(x, k=k, dim=-1, largest=True, sorted=True)


def is_available() -> bool:
    return True

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/kbh/bin/nvcc
/kbh/bin/ncu
/kbh/bin/nsys

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Output:
Using CPython 3.11.15
Creating virtual environment at: /workspace/.venv
   Building kernelbench-hard @ file:///workspace
      Built kernelbench-hard @ file:///workspace
warning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.
         If the cache and target directories are on different filesystems, hardlinking may not be supported.
         If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.
Installed 56 packages in 2.31s
2.11.0+cu130
13.0
True
NVIDIA RTX PRO 6000 Blackwell Workstation Edition
(12, 0)

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"""Centralized GPU timing for benchmark.py files.

All problems' benchmark.py should call `time_fn` from here so we have one
implementation of warmup, L2 flush, and CUDA event capture to maintain.

Methodology:
  - 10 warmup calls absorb Triton autotune (typical ~7 configs) and
    torch.compile reduce-overhead CUDA-graph capture.
  - Between each timed call, `_l2_flush()` writes 128 MB to evict L2
    (Blackwell L2 is 96 MB; we want any prior L2 contents flushed so
    we measure HBM-load bandwidth, not L2-cached bandwidth).
  - GPU timing via cuda.Event with synchronize() AFTER record() but
    BEFORE elapsed_time() — the canonical NVIDIA pattern.
  - Reported value is the median of `iters` trials, robust to outliers.

Notes / known biases not addressed here:
  - torch.compile(mode="reduce-overhead") gets CUDA graphs which eliminate
    launch overhead. Custom Triton/CUDA kernels do NOT get this treatment.
    On small shapes where launch overhead matters, this gives compile an
    artificial advantage. We accept this as the cost of using the agreed
    "compiled" baseline policy.
  - cuBLAS / cuDNN allocate workspaces on first call. 10 warmup absorbs.
  - Median over a fairly small number of trials (default 30) is fine for
    headline numbers but won't catch bimodal distributions. Use --extra
    instrumentation if you ever care.
"""
from __future__ import annotations


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"""Numeric distribution stress cases for correctness checks.

These cases are not hidden shapes. They rerun the same shape/seed validation
under a few scale regimes that catch kernels that only work for the nominal
N(0, 1)-ish inputs.
"""
from __future__ import annotations

import os
from collections.abc import Iterator, Mapping, Sequence
from contextlib import contextmanager
from dataclasses import dataclass, field

import torch

ToleranceOverride = Mapping[str, float | Mapping[str, float]]


@dataclass(frozen=True)
class NumericStressCase:
    name: str
    input_scales: Mapping[int, float] = field(default_factory=dict)
    state_scales: Mapping[str, float] = field(default_factory=dict)
    tolerance: ToleranceOverride | None = None


NOMINAL_CASE = NumericStressCase("nominal")

_SMALL_BF16 = {"bfloat16": {"atol": 1e-4, "rtol": 5e-2}}
_MED_BF16 = {"bfloat16": {"atol": 5e-4, "rtol": 5e-2}}
_LARGE_BF16 = {"bfloat16": {"atol": 2e-1, "rtol": 5e-2}}
_TINY_FP32 = {"float32": {"atol": 1e-7, "rtol": 1e-4}}
_LARGE_FP32 = {"float32": {"atol": 1e-1, "rtol": 1e-4}}

_CASES: dict[str, tuple[NumericStressCase, ...]] = {
    "01_fp8_gemm": (
        NumericStressCase("small_input", input_scales={0: 1e-3}, tolerance=_SMALL_BF16),
        NumericStressCase("large_input", input_scales={0: 64.0}, tolerance=_LARGE_BF16),
        NumericStressCase(
            "small_weight",
            sta

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"""Per-dtype correctness tolerance.

Stanford's KernelBench uses 1e-4 atol/rtol for fp32 and 1e-2 for fp16/bf16.
We extend to fp8 (0.1, permissive) and int (exact).
"""
from __future__ import annotations

import torch

DEFAULT_TOLERANCE = {
    torch.float32: {"atol": 1e-4, "rtol": 1e-4},
    torch.float16: {"atol": 1e-2, "rtol": 1e-2},
    torch.bfloat16: {"atol": 1e-2, "rtol": 1e-2},
    torch.float8_e4m3fn: {"atol": 1e-1, "rtol": 1e-1},
    torch.float8_e5m2: {"atol": 1e-1, "rtol": 1e-1},
    torch.int8: {"atol": 0, "rtol": 0},
    torch.int32: {"atol": 0, "rtol": 0},
    torch.int64: {"atol": 0, "rtol": 0},
}


def _coerce_float(x):
    """Accept int/float/str scientific-notation as float; pass through dicts."""
    if isinstance(x, (int, float)):
        return float(x)
    if isinstance(x, str):
        try:
            return float(x)
        except ValueError:
            return x
    return x


def tolerance_for_dtype(dtype: torch.dtype, override: dict | None = None) -> dict:
    """Lookup atol/rtol for a given dtype, with optional per-problem override.

    The override dict is keyed by str(dtype). Values may be:
      - a single number (or a string parseable as float, e.g. "5e-2") -> used
        as both atol and rtol
      - a dict {"atol": ..., "rtol": ...} -> used directly, with values coerced
    """
    # Accept several spellings of the same dtype key (PyYA

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total 44
drwxrwxr-x 2 1002 1002 4096 Jun 13 11:03 .
drwxrwxr-x 3 1002 1002 4096 Jun 13 11:03 ..
-rw-rw-r-- 1 1002 1002 2084 Apr 27 09:21 PROMPT.txt
-rw-rw-r-- 1 1002 1002 5078 Jun  1 21:05 benchmark.py
-rw-rw-r-- 1 1002 1002 6288 Jun  2 01:09 check.py
-rw-rw-r-- 1 1002 1002 2199 Apr 26 04:20 problem.yaml
-rw-rw-r-- 1 1002 1002 1561 Apr 26 04:19 reference.py
-rw-rw-r-- 1 1002 1002  933 Apr 26 04:19 shapes.py
-rw-rw-r-- 1 1002 1002  945 Apr 26 04:20 sota.py

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SMs 188
Traceback (most recent call last):
  File "<stdin>", line 4, in <module>
AttributeError: 'torch._C._CudaDeviceProperties' object has no attribute 'regs_per_block'

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output:
  Success. Updated the following files:
  A /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

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FAIL: import error: Error building extension 'topk_bitonic_select_ext_v1': [1/3] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=topk_bitonic_select_ext_v1 -DTORCH_API_INCLUDE_EXTENSION_H -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda-host/include -isystem /uv-cache/python/cpython-3.11.15-linux-x86_64-gnu/include/python3.11 -fPIC -std=c++17 -c /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v1/main.cpp -o main.o 
[2/3] /usr/local/cuda-host/bin/nvcc -MD -MF cuda.cuda.o.d -DTORCH_EXTENSION_NAME=topk_bitonic_select_ext_v1 -DTORCH_API_INCLUDE_EXTENSION_H -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda-host/include -isystem /uv-cache/python/cpython-3.11.15-linux-x86_64-gnu/include/python3.11 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_100,code=sm_100 -gencode=arch=compute_120,code=compute_120 -gencode=arch=compute_120,code=sm_120 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_80,code=sm_80 -gencode=arch=compute_86,code=sm_86 -gencode=arch=compute_90,

... (2403 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

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Output:
    PID    PPID STAT     ELAPSED %CPU %MEM CMD
    489     454 S          01:04  0.0  0.0 ninja -v
    491     489 S          01:04  0.1  0.0 /usr/local/cuda-host/bin/nvcc -MD -MF cuda.cuda.o.d -DTORCH_EXTENSION_NAME=topk_bitonic_select_ext_v2 -DTORCH_API_INCLUDE_EXTENSION_H -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda-host/include -isystem /uv-cache/python/cpython-3.11.15-linux-x86_64-gnu/include/python3.11 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode arch=compute_100,code=sm_100 -gencode arch=compute_120,code=compute_120 -gencode arch=compute_120,code=sm_120 -gencode arch=compute_75,code=sm_75 -gencode arch=compute_80,code=sm_80 -gencode arch=compute_86,code=sm_86 -gencode arch=compute_90,code=sm_90 --compiler-options -fPIC -O3 --use_fast_math -std c++17 -c /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v2/cuda.cu -o cuda.cuda.o
    519     491 R          00:07 99.8  0.6 /usr/local/cuda-host/bin/../nvvm/bin/cicc --c++17 --static-host-stub --device-hidden-visibility --gnu_version=130300 --display_error_number --orig_src_file_name /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_e

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Output:
FAIL: import error: Error building extension 'topk_bitonic_select_ext_v2': [1/3] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=topk_bitonic_select_ext_v2 -DTORCH_API_INCLUDE_EXTENSION_H -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda-host/include -isystem /uv-cache/python/cpython-3.11.15-linux-x86_64-gnu/include/python3.11 -fPIC -std=c++17 -c /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v2/main.cpp -o main.o 
ninja: build stopped: interrupted by user.

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

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    PID    PPID STAT     ELAPSED %CPU CMD
    523       1 Z          00:26 20.5 [cicc] <defunct>

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Original token count: 1586
Output:
      1       0 Ssl        07:11  0.0  0.0 node /opt/node/bin/codex exec -m gpt-5.5 -c model_reasoning_effort="xhigh" --dangerously-bypass-approvals-and-sandbox --skip-git-repo-check -C /workspace/problems/05_topk_bitonic I need you to optimize a top-k kernel for the RTX PRO 6000 (SM120 Blackwell, GDDR7, 1.8 TB/s). The reference implementation is in reference.py and your kernel goes in solution.py. You can make whatever mess you want in this directory — scratch files, intermediate kernels, build artifacts, profiling traces — but the final answer has to be in solution.py with the same Model, get_inputs, and get_init_inputs interface as reference.py.  The input is a 2D fp32 tensor and you return the top-k values and their int64 indices along the last dim, sorted descending, same contract as torch.topk(largest=True, sorted=True). Correctness tolerance is 1e-4 abs/rel on the values; index ties are handled leniently — what matters is the returned values match the reference to tolerance, not that the index sets are bitwise identical. The shapes you have to handle are batch=1 n=131072 k=64 (decoder vocab top-k over a Llama-size vocabulary), batch=64 n=8192 k=8 (prefill / attention top-k), batch=32 n=16384 k=32 (mid-size batched), batch=16 n=12000 k=16 (non-power-of-two n, which bitonic networks don't naturally want), and batch=128 n=4096 k=1 (batched argmax).  This needs to be a 

... (4922 more chars)

Chunk ID: 0d3b8a
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 60
Output:
/usr/bin/bash: line 1: pstree: command not found
1002         530      73  0 11:10 ?        00:00:00 /bin/bash /kbh/bin/gpu-lock-exec uv /usr/local/bin/uv run python check.py
1002         535     530  0 11:10 ?        00:00:00 flock -x 9

Chunk ID: 750208
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 49
Output:
1002         530      73  0 11:10 ?        00:00:00 /bin/bash /kbh/bin/gpu-lock-exec uv /usr/local/bin/uv run python check.py
-rw-rw-rw- 1 1002 1002        0 Jun 13 11:04 uv-5c848450d2026ca5.lock

Chunk ID: a930c9
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 572
Output:
#!/bin/bash
set -euo pipefail
name="$1"
real="$2"
shift 2
if [ -z "$real" ]; then
    echo "$name is unavailable" >&2
    exit 127
fi
real_abs="$(readlink -f "$real" 2>/dev/null || printf '%s' "$real")"
case "$name" in
    uv)
        fallback="${REAL_UV_FALLBACK:-}"
        ;;
    python|python3)
        fallback="${REAL_PYTHON_FALLBACK:-}"
        ;;
    *)
        fallback=""
        ;;
esac
if [ -n "${RUN_DIR:-}" ] && [[ "$real_abs" == "${RUN_DIR}/bin/"* ]] && [ -n "$fallback" ]; then
    real="$fallback"
fi
if [ "${KBH_GPU_LOCK_HELD:-0}" = "1" ]; then
    exec "$real" "$@"
fi
if [ "${KBH_AGENT_PHASE:-0}" = "1" ]; then
    case "$name" in
        uv|python|python3|nvidia-smi|nvcc)
            exec "$real" "$@"
            ;;
        ncu|nsys)
            echo "$name is disabled during KernelBench parallel agent phase; official benchmarking runs under the GPU lock after generation." >&2
            exit 125
            ;;
    esac
fi
owner_file="${KBH_GPU_LOCK}.owner"
if [ -f "$owner_file" ]; then
    IFS=$'\t' read -r owner_pid owner_run_dir < "$owner_file" || true
    if [ "${owner_run_dir:-}" = "${RUN_DIR:-}" ] && kill -0 "${owner_pid:-}" 2>/dev/null; then
        exec "$real" "$@"
    fi
fi
{
    printf '%s wait pid=%s cmd=%s args=%q\n' "$(date -Is)" "$$" "$name" "$*" >&3
    lock_wait_timeout="${KBH_GPU_LOCK_WAIT_TIMEOUT_SECONDS:-}"
    if [ -n "$lock_wait_timeout" 

... (892 more chars)

Chunk ID: f8c88b
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 253
Output:
lock=/kbh/lock/gpu.lock
log=/home/agent/gpu_lock_container.log
run=/kbh
2026-06-13T11:03:56+00:00 wait pid=212 cmd=uv args=run\ python\ -
2026-06-13T11:04:12+00:00 start pid=212 cmd=uv
2026-06-13T11:04:16+00:00 end pid=212 cmd=uv status=0 elapsed_s=4
2026-06-13T11:05:30+00:00 wait pid=322 cmd=uv args=run\ python\ -
2026-06-13T11:05:45+00:00 start pid=322 cmd=uv
2026-06-13T11:05:46+00:00 end pid=322 cmd=uv status=1 elapsed_s=1
2026-06-13T11:07:55+00:00 wait pid=372 cmd=uv args=run\ python\ check.py
2026-06-13T11:08:30+00:00 start pid=372 cmd=uv
2026-06-13T11:08:41+00:00 end pid=372 cmd=uv status=1 elapsed_s=11
2026-06-13T11:08:59+00:00 wait pid=443 cmd=uv args=run\ python\ check.py
2026-06-13T11:08:59+00:00 start pid=443 cmd=uv
2026-06-13T11:10:14+00:00 end pid=443 cmd=uv status=1 elapsed_s=75
2026-06-13T11:10:24+00:00 wait pid=530 cmd=uv args=run\ python\ check.py
-rw-rw-r-- 1 1002 1002  0 Jun 13 11:10 /kbh/lock/gpu.lock
-rw-r--r-- 1 1002 1002 10 Jun 13 11:10 /kbh/lock/gpu.lock.owner
3450	/kbh

Chunk ID: d467fa
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 213
Output:
    PID    PPID STAT     ELAPSED %CPU %MEM CMD
2026-06-13T11:03:56+00:00 wait pid=212 cmd=uv args=run\ python\ -
2026-06-13T11:04:12+00:00 start pid=212 cmd=uv
2026-06-13T11:04:16+00:00 end pid=212 cmd=uv status=0 elapsed_s=4
2026-06-13T11:05:30+00:00 wait pid=322 cmd=uv args=run\ python\ -
2026-06-13T11:05:45+00:00 start pid=322 cmd=uv
2026-06-13T11:05:46+00:00 end pid=322 cmd=uv status=1 elapsed_s=1
2026-06-13T11:07:55+00:00 wait pid=372 cmd=uv args=run\ python\ check.py
2026-06-13T11:08:30+00:00 start pid=372 cmd=uv
2026-06-13T11:08:41+00:00 end pid=372 cmd=uv status=1 elapsed_s=11
2026-06-13T11:08:59+00:00 wait pid=443 cmd=uv args=run\ python\ check.py
2026-06-13T11:08:59+00:00 start pid=443 cmd=uv
2026-06-13T11:10:14+00:00 end pid=443 cmd=uv status=1 elapsed_s=75
2026-06-13T11:10:24+00:00 wait pid=530 cmd=uv args=run\ python\ check.py

Chunk ID: 9fffc4
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 6
Output:
dev=0:0 inode=152737032

Chunk ID: cccbdb
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 128
Output:
total 0
lr-x------ 1 1002 1002 64 Jun 13 11:10 0 -> /dev/null
l-wx------ 1 1002 1002 64 Jun 13 11:10 1 -> pipe:[3345517]
l-wx------ 1 1002 1002 64 Jun 13 11:10 2 -> pipe:[3345518]
lr-x------ 1 1002 1002 64 Jun 13 11:11 255 -> /kbh/bin/gpu-lock-exec
l-wx------ 1 1002 1002 64 Jun 13 11:10 3 -> /home/agent/gpu_lock_container.log
l-wx------ 1 1002 1002 64 Jun 13 11:10 9 -> /kbh/lock/gpu.lock
do_waitlocks_lock_inode_wait    PID    PPID STAT     ELAPSED %CPU CMD
    535     530 S          00:55  0.0 flock -x 9

Chunk ID: 04eb2d
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 75
Output:
47: POSIX  ADVISORY  READ 73 103:04:173159974 128 128
48: POSIX  ADVISORY  READ 73 103:04:173159972 1073741826 1073742335
49: POSIX  ADVISORY  READ 73 103:04:173159971 128 128
50: POSIX  ADVISORY  READ 73 103:04:173159969 1073741826 1073742335
51: FLOCK  ADVISORY  WRITE 73 103:04:173159891 0 EOF

Chunk ID: 0ad8c7
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 322
Output:
total 0
lrwx------ 1 1002 1002 64 Jun 13 11:11 0 -> /dev/null
l-wx------ 1 1002 1002 64 Jun 13 11:11 1 -> pipe:[3319509]
lrwx------ 1 1002 1002 64 Jun 13 11:11 10 -> anon_inode:[eventpoll]
lrwx------ 1 1002 1002 64 Jun 13 11:11 11 -> anon_inode:[eventfd]
lrwx------ 1 1002 1002 64 Jun 13 11:11 12 -> anon_inode:[eventpoll]
lrwx------ 1 1002 1002 64 Jun 13 11:11 13 -> socket:[3335304]
lr-x------ 1 1002 1002 64 Jun 13 11:11 14 -> anon_inode:inotify
lrwx------ 1 1002 1002 64 Jun 13 11:11 15 -> anon_inode:[eventpoll]
lrwx------ 1 1002 1002 64 Jun 13 11:11 16 -> anon_inode:[eventfd]
lrwx------ 1 1002 1002 64 Jun 13 11:11 17 -> /home/agent/.codex/state_5.sqlite
lr-x------ 1 1002 1002 64 Jun 13 11:11 18 -> anon_inode:inotify
lrwx------ 1 1002 1002 64 Jun 13 11:11 19 -> anon_inode:[eventpoll]
l-wx------ 1 1002 1002 64 Jun 13 11:11 2 -> pipe:[3319510]
lrwx------ 1 1002 1002 64 Jun 13 11:11 20 -> anon_inode:[eventfd]
lrwx------ 1 1002 1002 64 Jun 13 11:11 21 -> socket:[3334453]
lrwx------ 1 1002 1002 64 Jun 13 11:11 22 -> /home/agent/.codex/state_5.sqlite-wal
lrwx------ 1 1002 1002 64 Jun 13 11:11 23 -> socket:[3339297]
lrwx------ 1 1002 1002 64 Jun 13 11:11 24 -> /home/agent/.codex/state_5.sqlite-shm
lrwx------ 1 1002 1002 64 Jun 13 11:11 25 -> /home/agent/.codex/state_5.sqlite

Chunk ID: cdf86e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 53
Output:
152737032 -rw-rw-r-- 1 1002 1002  0 Jun 13 11:11 /kbh/lock/gpu.lock
152702911 -rw-r--r-- 1 1002 1002 10 Jun 13 11:10 /kbh/lock/gpu.lock.owner
dev=10304 inode=152737032 type=regular empty file
/kbh/lock/gpu.lock

Chunk ID: ed735b
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 12
Output:
/kbh/lock/gpu.lock
dev=10304 inode=152737032

Chunk ID: d03cf4
Wall time: 1.0011 seconds
Process running with session ID 9650
Original token count: 0
Output:

Chunk ID: d474e8
Wall time: 5.0003 seconds
Process running with session ID 9650
Original token count: 0
Output:

Chunk ID: 5f2f18
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 477
Output:
    PID    PPID STAT     ELAPSED %CPU CMD
    523       1 Z          01:50  4.9 [cicc] <defunct>
    624     589 S          00:12  0.0 ninja -v
    626     624 S          00:12  0.0 /usr/local/cuda-host/bin/nvcc -MD -MF cuda.cuda.o.d -DTORCH_EXTENSION_NAME=topk_bitonic_select_ext_v3 -DTORCH_API_INCLUDE_EXTENSION_H -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda-host/include -isystem /uv-cache/python/cpython-3.11.15-linux-x86_64-gnu/include/python3.11 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode arch=compute_120,code=sm_120 --compiler-options -fPIC -O3 --use_fast_math -std c++17 -c /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v3/cuda.cu -o cuda.cuda.o
    636     626 R          00:03 99.7 /usr/local/cuda-host/bin/../nvvm/bin/cicc --c++17 --static-host-stub --device-hidden-visibility --gnu_version=130300 --display_error_number --orig_src_file_name /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v3/cuda.cu --orig_src_path_name /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v3/cuda.cu --allow_managed --relaxed_constexpr -arch compute_120 -m64 --no-version-

... (510 more chars)

Chunk ID: 68f42e
Wall time: 5.0013 seconds
Process running with session ID 9650
Original token count: 0
Output:

Chunk ID: 70e246
Wall time: 5.0005 seconds
Process running with session ID 9650
Original token count: 0
Output:

Chunk ID: 9a8a80
Wall time: 0.0000 seconds
Process exited with code 1
Original token count: 542
Output:
FAIL: import error: Error building extension 'topk_bitonic_select_ext_v3': [1/3] c++ -MMD -MF main.o.d -DTORCH_EXTENSION_NAME=topk_bitonic_select_ext_v3 -DTORCH_API_INCLUDE_EXTENSION_H -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda-host/include -isystem /uv-cache/python/cpython-3.11.15-linux-x86_64-gnu/include/python3.11 -fPIC -std=c++17 -c /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v3/main.cpp -o main.o 
[2/3] /usr/local/cuda-host/bin/nvcc -MD -MF cuda.cuda.o.d -DTORCH_EXTENSION_NAME=topk_bitonic_select_ext_v3 -DTORCH_API_INCLUDE_EXTENSION_H -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include -isystem /workspace/.venv/lib/python3.11/site-packages/torch/include/torch/csrc/api/include -isystem /usr/local/cuda-host/include -isystem /uv-cache/python/cpython-3.11.15-linux-x86_64-gnu/include/python3.11 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ --expt-relaxed-constexpr -gencode=arch=compute_120,code=sm_120 --compiler-options '-fPIC' -O3 --use_fast_math -std=c++17 -c /home/agent/.cache/torch_extensions/py311_cu130/topk_bitonic_select_ext_v3/cuda.cu -o cuda.cuda.o 
[3/3] c++ main.o cuda.cuda.o -shared -L/workspace/.ven

... (771 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 732231
Wall time: 1.0011 seconds
Process running with session ID 52324
Original token count: 0
Output:

Chunk ID: 8a025e
Wall time: 5.0017 seconds
Process running with session ID 52324
Original token count: 0
Output:

Chunk ID: 6a2cd1
Wall time: 5.0013 seconds
Process running with session ID 52324
Original token count: 0
Output:

Chunk ID: 8061fb
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: bb9703
Wall time: 0.8862 seconds
Process exited with code 0
Original token count: 405
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:13:10.146776+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:13:10.201923+00:00 elapsed_s=0.055 ms=0.729424
shape=0 variant=solution tflops=0.001 gbps=0.720 ms=0.729
shape=0 solution_peak_fraction=0.0004
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:13:10.204026+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:13:10.210292+00:00 elapsed_s=0.006 ms=0.028816
shape=1 variant=solution tflops=0.073 gbps=72.991 ms=0.029
shape=1 solution_peak_fraction=0.0406
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:13:10.211766+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:13:10.222905+00:00 elapsed_s=0.011 ms=0.117184
shape=2 variant=solution tflops=0.018 gbps=18.001 ms=0.117
shape=2 solution_peak_fraction=0.0100
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:13:10.223588+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:13:10.230434+00:00 elapsed_s=0.007 ms=0.040656
shape=3 variant=solution tflops=0.019 gbps=18.966 ms=0.041
shape=3 solution_peak_fraction=0.0105
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:13:10.231931+00:00
benchmark_event event=variant_en

... (223 more chars)

Chunk ID: 3a93fb
Wall time: 1.0017 seconds
Process running with session ID 17079
Original token count: 123
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:13:19.124708+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:13:19.179827+00:00 elapsed_s=0.055 ms=0.731312
shape=0 variant=solution tflops=0.001 gbps=0.718 ms=0.731
benchmark_event event=variant_start shape=0 variant=eager ts=2026-06-13T11:13:19.179877+00:00
benchmark_event event=variant_end shape=0 variant=eager ts=2026-06-13T11:13:19.205759+00:00 elapsed_s=0.026 ms=0.047904

Chunk ID: 431b2d
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1302
Output:
benchmark_event event=variant_start shape=0 variant=compiled ts=2026-06-13T11:13:22.183310+00:00
benchmark_event event=variant_end shape=0 variant=compiled ts=2026-06-13T11:13:23.480711+00:00 elapsed_s=1.297 ms=0.082112
benchmark_event event=variant_start shape=0 variant=sota ts=2026-06-13T11:13:23.480731+00:00
benchmark_event event=variant_end shape=0 variant=sota ts=2026-06-13T11:13:23.488052+00:00 elapsed_s=0.007 ms=0.047472
shape=0 variant=eager tflops=0.011 gbps=10.961 ms=0.048
shape=0 variant=compiled tflops=0.006 gbps=6.394 ms=0.082
shape=0 variant=sota tflops=0.011 gbps=11.060 ms=0.047
shape=0 solution_peak_fraction=0.0004
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:13:23.489933+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:13:23.495904+00:00 elapsed_s=0.006 ms=0.028720
shape=1 variant=solution tflops=0.073 gbps=73.235 ms=0.029
benchmark_event event=variant_start shape=1 variant=eager ts=2026-06-13T11:13:23.495916+00:00
benchmark_event event=variant_end shape=1 variant=eager ts=2026-06-13T11:13:23.503009+00:00 elapsed_s=0.007 ms=0.047008
benchmark_event event=variant_start shape=1 variant=compiled ts=2026-06-13T11:13:23.504293+00:00
benchmark_event event=variant_end shape=1 variant=compiled ts=2026-06-13T11:13:23.643714+00:00 elapsed_s=0.139 ms=0.083232
benchmark_event event=variant_start shape=1

... (3810 more chars)

Chunk ID: fd597d
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 520
Output:
/usr/local/cuda-host/bin/cuobjdump

Fatbin elf code:
================
arch = sm_120
code version = [1,8]
host = linux
compile_size = 64bit

Resource usage:
 Common:
  GLOBAL:46 CONSTANT[4]:368
 Function _ZN39_GLOBAL__N__bc4b41fa_7_cuda_cu_9aa01d5013stage2_kernelILi64EEEvPKfPKiPfPli:
  REG:146 STACK:512 SHARED:1024 LOCAL:0 CONSTANT[0]:932 TEXTURE:0 SURFACE:0 SAMPLER:0
 Function _ZN39_GLOBAL__N__bc4b41fa_7_cuda_cu_9aa01d5013stage1_kernelILi64EEEvPKfPfPiii:
  REG:40 STACK:512 SHARED:1024 LOCAL:0 CONSTANT[0]:928 TEXTURE:0 SURFACE:0 SAMPLER:0
 Function _ZN39_GLOBAL__N__bc4b41fa_7_cuda_cu_9aa01d5013stage2_kernelILi32EEEvPKfPKiPfPli:
  REG:80 STACK:256 SHARED:1024 LOCAL:0 CONSTANT[0]:932 TEXTURE:0 SURFACE:0 SAMPLER:0
 Function _ZN39_GLOBAL__N__bc4b41fa_7_cuda_cu_9aa01d5013stage1_kernelILi32EEEvPKfPfPiii:
  REG:40 STACK:256 SHARED:1024 LOCAL:0 CONSTANT[0]:928 TEXTURE:0 SURFACE:0 SAMPLER:0
 Function _ZN39_GLOBAL__N__bc4b41fa_7_cuda_cu_9aa01d5013stage2_kernelILi16EEEvPKfPKiPfPli:
  REG:40 STACK:128 SHARED:1024 LOCAL:0 CONSTANT[0]:932 TEXTURE:0 SURFACE:0 SAMPLER:0
 Function _ZN39_GLOBAL__N__bc4b41fa_7_cuda_cu_9aa01d5013stage1_kernelILi16EEEvPKfPfPiii:
  REG:40 STACK:128 SHARED:1024 LOCAL:0 CONSTANT[0]:928 TEXTURE:0 SURFACE:0 SAMPLER:0
 Function _ZN39_GLOBAL__N__bc4b41fa_7_cuda_cu_9aa01d5013stage2_kernelILi8EEEvPKfPKiPfPli:
  REG:39 STACK:64 SHARED:1024 LOCAL:0 CONSTANT[0]:932 TEXTURE:

... (684 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: a2b578
Wall time: 1.0011 seconds
Process running with session ID 43590
Original token count: 0
Output:

Chunk ID: fe3d07
Wall time: 5.0008 seconds
Process running with session ID 43590
Original token count: 0
Output:

Chunk ID: 9ff21a
Wall time: 5.0007 seconds
Process running with session ID 43590
Original token count: 0
Output:

Chunk ID: 3c7d35
Wall time: 4.9938 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: d8a3b9
Wall time: 0.7671 seconds
Process exited with code 0
Original token count: 405
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:16:16.347298+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:16:16.365626+00:00 elapsed_s=0.018 ms=0.127616
shape=0 variant=solution tflops=0.004 gbps=4.114 ms=0.128
shape=0 solution_peak_fraction=0.0023
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:16:16.367376+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:16:16.374110+00:00 elapsed_s=0.007 ms=0.027920
shape=1 variant=solution tflops=0.075 gbps=75.333 ms=0.028
shape=1 solution_peak_fraction=0.0419
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:16:16.375505+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:16:16.383806+00:00 elapsed_s=0.008 ms=0.065408
shape=2 variant=solution tflops=0.032 gbps=32.250 ms=0.065
shape=2 solution_peak_fraction=0.0179
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:16:16.384457+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:16:16.390921+00:00 elapsed_s=0.006 ms=0.030016
shape=3 variant=solution tflops=0.026 gbps=25.689 ms=0.030
shape=3 solution_peak_fraction=0.0143
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:16:16.392379+00:00
benchmark_event event=variant_en

... (223 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 61e05e
Wall time: 1.0011 seconds
Process running with session ID 38273
Original token count: 0
Output:

Chunk ID: d1230c
Wall time: 5.0009 seconds
Process running with session ID 38273
Original token count: 0
Output:

Chunk ID: 766094
Wall time: 5.0013 seconds
Process running with session ID 38273
Original token count: 0
Output:

Chunk ID: 54a3d9
Wall time: 5.0012 seconds
Process running with session ID 38273
Original token count: 2
Output:
PASS

Chunk ID: fccfcb
Wall time: 0.8853 seconds
Process exited with code 0
Original token count: 405
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:17:10.427627+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:17:10.445686+00:00 elapsed_s=0.018 ms=0.121408
shape=0 variant=solution tflops=0.004 gbps=4.325 ms=0.121
shape=0 solution_peak_fraction=0.0024
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:17:10.447673+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:17:10.453823+00:00 elapsed_s=0.006 ms=0.027824
shape=1 variant=solution tflops=0.075 gbps=75.593 ms=0.028
shape=1 solution_peak_fraction=0.0420
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:17:10.455307+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:17:10.463657+00:00 elapsed_s=0.008 ms=0.065680
shape=2 variant=solution tflops=0.032 gbps=32.117 ms=0.066
shape=2 solution_peak_fraction=0.0178
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:17:10.464368+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:17:10.470861+00:00 elapsed_s=0.006 ms=0.029824
shape=3 variant=solution tflops=0.026 gbps=25.854 ms=0.030
shape=3 solution_peak_fraction=0.0144
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:17:10.472387+00:00
benchmark_event event=variant_en

... (223 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 7338b0
Wall time: 1.0011 seconds
Process running with session ID 30697
Original token count: 0
Output:

Chunk ID: e88cfe
Wall time: 5.0015 seconds
Process running with session ID 30697
Original token count: 0
Output:

Chunk ID: c45d9a
Wall time: 5.0015 seconds
Process running with session ID 30697
Original token count: 0
Output:

Chunk ID: 6fa85b
Wall time: 5.0005 seconds
Process running with session ID 30697
Original token count: 0
Output:

Chunk ID: 50689e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: ce697b
Wall time: 1.0011 seconds
Process running with session ID 61540
Original token count: 405
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:17:53.569552+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:17:53.588591+00:00 elapsed_s=0.019 ms=0.123744
shape=0 variant=solution tflops=0.004 gbps=4.243 ms=0.124
shape=0 solution_peak_fraction=0.0024
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:17:53.590881+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:17:53.597279+00:00 elapsed_s=0.006 ms=0.027296
shape=1 variant=solution tflops=0.077 gbps=77.055 ms=0.027
shape=1 solution_peak_fraction=0.0428
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:17:53.599149+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:17:53.607938+00:00 elapsed_s=0.009 ms=0.066224
shape=2 variant=solution tflops=0.032 gbps=31.853 ms=0.066
shape=2 solution_peak_fraction=0.0177
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:17:53.609052+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:17:53.615941+00:00 elapsed_s=0.007 ms=0.029936
shape=3 variant=solution tflops=0.026 gbps=25.757 ms=0.030
shape=3 solution_peak_fraction=0.0143
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:17:53.618054+00:00
benchmark_event event

... (234 more chars)

Chunk ID: fecaaf
Wall time: 1.0011 seconds
Process running with session ID 28229
Original token count: 577
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage1_small_kernel<8, 6...         0.00%       0.000us         0.00%       0.000us       0.000us     256.345us        53.85%     256.345us      51.269us             5  
void (anonymous namespace)::stage2_merge_kernel<64>(...         0.00%       0.000us         0.00%       0.000us       0.000us     219.706us        46.15%     219.706us      43.941us             5  
                                  cudaStreamIsCapturing         0.35%       5.060us         0.35%       5.060us       1.012us    

... (923 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 2eaf23
Wall time: 1.0009 seconds
Process running with session ID 47762
Original token count: 0
Output:

Chunk ID: 885513
Wall time: 5.0008 seconds
Process running with session ID 47762
Original token count: 0
Output:

Chunk ID: 4bc00c
Wall time: 5.0002 seconds
Process running with session ID 47762
Original token count: 0
Output:

Chunk ID: fcbda1
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 94bdf1
Wall time: 0.7352 seconds
Process exited with code 0
Original token count: 405
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:19:53.419880+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:19:53.438094+00:00 elapsed_s=0.018 ms=0.127552
shape=0 variant=solution tflops=0.004 gbps=4.116 ms=0.128
shape=0 solution_peak_fraction=0.0023
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:19:53.439830+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:19:53.445842+00:00 elapsed_s=0.006 ms=0.027568
shape=1 variant=solution tflops=0.076 gbps=76.295 ms=0.028
shape=1 solution_peak_fraction=0.0424
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:19:53.447197+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:19:53.455405+00:00 elapsed_s=0.008 ms=0.064512
shape=2 variant=solution tflops=0.033 gbps=32.698 ms=0.065
shape=2 solution_peak_fraction=0.0182
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:19:53.456049+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:19:53.462435+00:00 elapsed_s=0.006 ms=0.029488
shape=3 variant=solution tflops=0.026 gbps=26.149 ms=0.029
shape=3 solution_peak_fraction=0.0145
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:19:53.463875+00:00
benchmark_event event=variant_en

... (223 more chars)

Chunk ID: 8a8cb2
Wall time: 1.0010 seconds
Process running with session ID 18335
Original token count: 0
Output:

Chunk ID: 39067c
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 577
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage1_small_kernel<8, 6...         0.00%       0.000us         0.00%       0.000us       0.000us     254.715us        54.30%     254.715us      50.943us             5  
void (anonymous namespace)::stage2_merge_kernel_fixe...         0.00%       0.000us         0.00%       0.000us       0.000us     214.333us        45.70%     214.333us      42.867us             5  
                                  cudaStreamIsCapturing         0.32%       4.140us         0.32%       4.140us       0.828us       0.000us 

... (912 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 9f27b1
Wall time: 1.0010 seconds
Process running with session ID 43600
Original token count: 0
Output:

Chunk ID: 887ea3
Wall time: 5.0008 seconds
Process running with session ID 43600
Original token count: 0
Output:

Chunk ID: 4f6fac
Wall time: 5.0010 seconds
Process running with session ID 43600
Original token count: 0
Output:

Chunk ID: c10b44
Wall time: 5.0008 seconds
Process running with session ID 43600
Original token count: 0
Output:

Chunk ID: e425f6
Wall time: 1.5288 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 616365
Wall time: 0.7035 seconds
Process exited with code 0
Original token count: 405
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:21:23.149099+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:21:23.164848+00:00 elapsed_s=0.016 ms=0.080304
shape=0 variant=solution tflops=0.007 gbps=6.538 ms=0.080
shape=0 solution_peak_fraction=0.0036
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:21:23.166584+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:21:23.172624+00:00 elapsed_s=0.006 ms=0.027872
shape=1 variant=solution tflops=0.075 gbps=75.463 ms=0.028
shape=1 solution_peak_fraction=0.0419
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:21:23.173989+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:21:23.182096+00:00 elapsed_s=0.008 ms=0.061856
shape=2 variant=solution tflops=0.034 gbps=34.102 ms=0.062
shape=2 solution_peak_fraction=0.0189
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:21:23.182748+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:21:23.189137+00:00 elapsed_s=0.006 ms=0.029264
shape=3 variant=solution tflops=0.026 gbps=26.349 ms=0.029
shape=3 solution_peak_fraction=0.0146
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:21:23.190582+00:00
benchmark_event event=variant_en

... (223 more chars)

Chunk ID: 5eef31
Wall time: 1.0010 seconds
Process running with session ID 25435
Original token count: 577
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage1_small_kernel<8, 6...         0.00%       0.000us         0.00%       0.000us       0.000us     258.457us        81.68%     258.457us      51.691us             5  
void (anonymous namespace)::stage2_cub_sort_kernel<6...         0.00%       0.000us         0.00%       0.000us       0.000us      57.984us        18.32%      57.984us      11.597us             5  
                                  cudaStreamIsCapturing         0.35%       3.720us         0.35%       3.720us       0.744us    

... (923 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: c2cbfa
Wall time: 1.0011 seconds
Process running with session ID 78885
Original token count: 0
Output:

Chunk ID: 217dd7
Wall time: 5.0015 seconds
Process running with session ID 78885
Original token count: 0
Output:

Chunk ID: 5dcb25
Wall time: 5.0008 seconds
Process running with session ID 78885
Original token count: 0
Output:

Chunk ID: 198cfb
Wall time: 5.0010 seconds
Process running with session ID 78885
Original token count: 0
Output:

Chunk ID: 7b70fc
Wall time: 0.2055 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 8784f1
Wall time: 0.8973 seconds
Process exited with code 0
Original token count: 405
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:22:50.678681+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:22:50.692023+00:00 elapsed_s=0.013 ms=0.023280
shape=0 variant=solution tflops=0.023 gbps=22.554 ms=0.023
shape=0 solution_peak_fraction=0.0125
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:22:50.694141+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:22:50.700336+00:00 elapsed_s=0.006 ms=0.027760
shape=1 variant=solution tflops=0.076 gbps=75.767 ms=0.028
shape=1 solution_peak_fraction=0.0421
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:22:50.701844+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:22:50.710132+00:00 elapsed_s=0.008 ms=0.064672
shape=2 variant=solution tflops=0.032 gbps=32.618 ms=0.065
shape=2 solution_peak_fraction=0.0181
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:22:50.710872+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:22:50.717391+00:00 elapsed_s=0.007 ms=0.030480
shape=3 variant=solution tflops=0.025 gbps=25.298 ms=0.030
shape=3 solution_peak_fraction=0.0141
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:22:50.719000+00:00
benchmark_event event=variant_e

... (224 more chars)

Chunk ID: 8a2e11
Wall time: 1.0004 seconds
Process running with session ID 9065
Original token count: 578
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage1_small_kernel<8, 3...         0.00%       0.000us         0.00%       0.000us       0.000us     184.222us        64.63%     184.222us      36.844us             5  
void (anonymous namespace)::stage2_merge_kernel_fixe...         0.00%       0.000us         0.00%       0.000us       0.000us     100.799us        35.37%     100.799us      20.160us             5  
                                  cudaStreamIsCapturing         0.47%       4.580us         0.47%       4.580us       0.916us     

... (924 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: f41ba8
Wall time: 1.0011 seconds
Process running with session ID 27132
Original token count: 0
Output:

Chunk ID: 72d025
Wall time: 5.0012 seconds
Process running with session ID 27132
Original token count: 0
Output:

Chunk ID: 1ebf30
Wall time: 5.0005 seconds
Process running with session ID 27132
Original token count: 0
Output:

Chunk ID: ca9049
Wall time: 5.0014 seconds
Process running with session ID 27132
Original token count: 0
Output:

Chunk ID: 9bee03
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: dbe13e
Wall time: 0.7478 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:23:53.516696+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:23:53.529558+00:00 elapsed_s=0.013 ms=0.023008
shape=0 variant=solution tflops=0.023 gbps=22.821 ms=0.023
shape=0 solution_peak_fraction=0.0127
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:23:53.531410+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:23:53.537485+00:00 elapsed_s=0.006 ms=0.027248
shape=1 variant=solution tflops=0.077 gbps=77.191 ms=0.027
shape=1 solution_peak_fraction=0.0429
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:23:53.538883+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:23:53.544847+00:00 elapsed_s=0.006 ms=0.020640
shape=2 variant=solution tflops=0.102 gbps=102.202 ms=0.021
shape=2 solution_peak_fraction=0.0568
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:23:53.545513+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:23:53.551952+00:00 elapsed_s=0.006 ms=0.029360
shape=3 variant=solution tflops=0.026 gbps=26.263 ms=0.029
shape=3 solution_peak_fraction=0.0146
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:23:53.553383+00:00
benchmark_event event=variant_

... (225 more chars)

Chunk ID: 148b6f
Wall time: 1.0009 seconds
Process running with session ID 64844
Original token count: 578
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage1_small_kernel<4, 1...         0.00%       0.000us         0.00%       0.000us       0.000us      73.693us        58.54%      73.693us      14.739us             5  
void (anonymous namespace)::stage2_merge_kernel_fixe...         0.00%       0.000us         0.00%       0.000us       0.000us      52.189us        41.46%      52.189us      10.438us             5  
                                  cudaStreamIsCapturing         0.51%       4.330us         0.51%       4.330us       0.866us    

... (925 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 6f21cc
Wall time: 1.0011 seconds
Process running with session ID 53361
Original token count: 0
Output:

Chunk ID: 143596
Wall time: 5.0012 seconds
Process running with session ID 53361
Original token count: 0
Output:

Chunk ID: c34fb6
Wall time: 5.0006 seconds
Process running with session ID 53361
Original token count: 0
Output:

Chunk ID: e57d97
Wall time: 5.0012 seconds
Process running with session ID 53361
Original token count: 0
Output:

Chunk ID: c3aefa
Wall time: 0.5518 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 219327
Wall time: 0.7921 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:24:54.841870+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:24:54.854409+00:00 elapsed_s=0.013 ms=0.023264
shape=0 variant=solution tflops=0.023 gbps=22.569 ms=0.023
shape=0 solution_peak_fraction=0.0125
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:24:54.856723+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:24:54.862892+00:00 elapsed_s=0.006 ms=0.027600
shape=1 variant=solution tflops=0.076 gbps=76.206 ms=0.028
shape=1 solution_peak_fraction=0.0423
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:24:54.864375+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:24:54.870352+00:00 elapsed_s=0.006 ms=0.020768
shape=2 variant=solution tflops=0.101 gbps=101.572 ms=0.021
shape=2 solution_peak_fraction=0.0564
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:24:54.871096+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:24:54.877028+00:00 elapsed_s=0.006 ms=0.016768
shape=3 variant=solution tflops=0.046 gbps=45.985 ms=0.017
shape=3 solution_peak_fraction=0.0255
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:24:54.878517+00:00
benchmark_event event=variant_

... (225 more chars)

Chunk ID: 724948
Wall time: 1.0002 seconds
Process running with session ID 82821
Original token count: 578
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage1_small_kernel<8, 8...         0.00%       0.000us         0.00%       0.000us       0.000us      95.423us        77.98%      95.423us      19.085us             5  
void (anonymous namespace)::stage2_merge_kernel_fixe...         0.00%       0.000us         0.00%       0.000us       0.000us      26.944us        22.02%      26.944us       5.389us             5  
                                  cudaStreamIsCapturing         0.50%       4.020us         0.50%       4.020us       0.804us    

... (925 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 028266
Wall time: 1.0010 seconds
Process running with session ID 75176
Original token count: 0
Output:

Chunk ID: a17bda
Wall time: 5.0008 seconds
Process running with session ID 75176
Original token count: 0
Output:

Chunk ID: 993bb3
Wall time: 5.0011 seconds
Process running with session ID 75176
Original token count: 0
Output:

Chunk ID: 28da95
Wall time: 5.0009 seconds
Process running with session ID 75176
Original token count: 0
Output:

Chunk ID: 2b5365
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: cda64a
Wall time: 0.7644 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:25:51.977868+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:25:51.990060+00:00 elapsed_s=0.012 ms=0.023056
shape=0 variant=solution tflops=0.023 gbps=22.773 ms=0.023
shape=0 solution_peak_fraction=0.0127
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:25:51.991901+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:25:51.998019+00:00 elapsed_s=0.006 ms=0.022256
shape=1 variant=solution tflops=0.094 gbps=94.505 ms=0.022
shape=1 solution_peak_fraction=0.0525
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:25:51.999399+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:25:52.005328+00:00 elapsed_s=0.006 ms=0.020416
shape=2 variant=solution tflops=0.103 gbps=103.323 ms=0.020
shape=2 solution_peak_fraction=0.0574
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:25:52.005994+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:25:52.011803+00:00 elapsed_s=0.006 ms=0.016272
shape=3 variant=solution tflops=0.047 gbps=47.386 ms=0.016
shape=3 solution_peak_fraction=0.0263
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:25:52.013200+00:00
benchmark_event event=variant_

... (225 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: d411dc
Wall time: 1.0010 seconds
Process running with session ID 12348
Original token count: 0
Output:

Chunk ID: 0a8c94
Wall time: 5.0015 seconds
Process running with session ID 12348
Original token count: 0
Output:

Chunk ID: 31fa29
Wall time: 5.0015 seconds
Process running with session ID 12348
Original token count: 0
Output:

Chunk ID: 4c6453
Wall time: 5.0013 seconds
Process running with session ID 12348
Original token count: 0
Output:

Chunk ID: 072d2b
Wall time: 1.3375 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 0022a0
Wall time: 0.7395 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:26:56.731215+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:26:56.743642+00:00 elapsed_s=0.012 ms=0.023088
shape=0 variant=solution tflops=0.023 gbps=22.742 ms=0.023
shape=0 solution_peak_fraction=0.0126
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:26:56.745534+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:26:56.751666+00:00 elapsed_s=0.006 ms=0.020624
shape=1 variant=solution tflops=0.102 gbps=101.983 ms=0.021
shape=1 solution_peak_fraction=0.0567
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:26:56.753065+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:26:56.759037+00:00 elapsed_s=0.006 ms=0.020864
shape=2 variant=solution tflops=0.101 gbps=101.104 ms=0.021
shape=2 solution_peak_fraction=0.0562
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:26:56.759705+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:26:56.765545+00:00 elapsed_s=0.006 ms=0.016512
shape=3 variant=solution tflops=0.047 gbps=46.698 ms=0.017
shape=3 solution_peak_fraction=0.0259
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:26:56.766941+00:00
benchmark_event event=variant

... (226 more chars)

Chunk ID: c5a6f8
Wall time: 1.0010 seconds
Process running with session ID 37000
Original token count: 578
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage2_cub_sort_kernel<6...         0.00%       0.000us         0.00%       0.000us       0.000us     117.983us        62.23%     117.983us      11.798us            10  
void (anonymous namespace)::stage1_cub_sort_kernel<6...         0.00%       0.000us         0.00%       0.000us       0.000us      71.614us        37.77%      71.614us       7.161us            10  
                                  cudaStreamIsCapturing         0.55%       5.170us         0.55%       5.170us       0.517us    

... (925 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 7cadb3
Wall time: 1.0021 seconds
Process running with session ID 4266
Original token count: 0
Output:

Chunk ID: 2b5cbe
Wall time: 5.0004 seconds
Process running with session ID 4266
Original token count: 0
Output:

Chunk ID: fa0dbe
Wall time: 5.0013 seconds
Process running with session ID 4266
Original token count: 0
Output:

Chunk ID: 75d672
Wall time: 5.0026 seconds
Process running with session ID 4266
Original token count: 0
Output:

Chunk ID: cee122
Wall time: 0.4535 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 1da703
Wall time: 0.8008 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:28:09.436394+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:28:09.449438+00:00 elapsed_s=0.013 ms=0.021664
shape=0 variant=solution tflops=0.024 gbps=24.236 ms=0.022
shape=0 solution_peak_fraction=0.0135
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:28:09.451462+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:28:09.457705+00:00 elapsed_s=0.006 ms=0.022464
shape=1 variant=solution tflops=0.093 gbps=93.630 ms=0.022
shape=1 solution_peak_fraction=0.0520
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:28:09.459310+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:28:09.465404+00:00 elapsed_s=0.006 ms=0.020784
shape=2 variant=solution tflops=0.101 gbps=101.493 ms=0.021
shape=2 solution_peak_fraction=0.0564
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:28:09.466142+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:28:09.472008+00:00 elapsed_s=0.006 ms=0.016416
shape=3 variant=solution tflops=0.047 gbps=46.971 ms=0.016
shape=3 solution_peak_fraction=0.0261
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:28:09.473494+00:00
benchmark_event event=variant_

... (225 more chars)

Chunk ID: 096b78
Wall time: 1.0018 seconds
Process running with session ID 33865
Original token count: 578
Output:
/workspace/.venv/lib/python3.11/site-packages/torch/profiler/profiler.py:224: UserWarning: Warning: Profiler clears events at the end of each cycle.Only events from the current cycle will be reported.To keep events across cycles, set acc_events=True.
  _warn_once(
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
                                                   Name    Self CPU %      Self CPU   CPU total %     CPU total  CPU time avg     Self CUDA   Self CUDA %    CUDA total  CUDA time avg    # of Calls  
-------------------------------------------------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  ------------  
void (anonymous namespace)::stage1_cub_sort_kernel<6...         0.00%       0.000us         0.00%       0.000us       0.000us     106.172us        60.13%     106.172us      10.617us            10  
void (anonymous namespace)::stage2_cub_sort_kernel<6...         0.00%       0.000us         0.00%       0.000us       0.000us      70.396us        39.87%      70.396us       7.040us            10  
                                  cudaStreamIsCapturing         0.55%       4.810us         0.55%       4.810us       0.481us    

... (925 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: bf1867
Wall time: 1.0006 seconds
Process running with session ID 40408
Original token count: 0
Output:

Chunk ID: 3d87c8
Wall time: 5.0014 seconds
Process running with session ID 40408
Original token count: 0
Output:

Chunk ID: d3010d
Wall time: 5.0010 seconds
Process running with session ID 40408
Original token count: 0
Output:

Chunk ID: e5e0bb
Wall time: 5.0009 seconds
Process running with session ID 40408
Original token count: 2
Output:
PASS

Chunk ID: ba2197
Wall time: 0.7885 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:29:48.623869+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:29:48.636429+00:00 elapsed_s=0.013 ms=0.021648
shape=0 variant=solution tflops=0.024 gbps=24.254 ms=0.022
shape=0 solution_peak_fraction=0.0135
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:29:48.638336+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:29:48.644427+00:00 elapsed_s=0.006 ms=0.020928
shape=1 variant=solution tflops=0.100 gbps=100.502 ms=0.021
shape=1 solution_peak_fraction=0.0558
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:29:48.645851+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:29:48.651860+00:00 elapsed_s=0.006 ms=0.020704
shape=2 variant=solution tflops=0.101 gbps=101.886 ms=0.021
shape=2 solution_peak_fraction=0.0566
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:29:48.652557+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:29:48.658391+00:00 elapsed_s=0.006 ms=0.016704
shape=3 variant=solution tflops=0.046 gbps=46.161 ms=0.017
shape=3 solution_peak_fraction=0.0256
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:29:48.659821+00:00
benchmark_event event=variant

... (226 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 6b1b94
Wall time: 1.0011 seconds
Process running with session ID 13765
Original token count: 0
Output:

Chunk ID: d64d7d
Wall time: 5.0013 seconds
Process running with session ID 13765
Original token count: 0
Output:

Chunk ID: 0746a4
Wall time: 5.0011 seconds
Process running with session ID 13765
Original token count: 0
Output:

Chunk ID: bc5360
Wall time: 5.0010 seconds
Process running with session ID 13765
Original token count: 2
Output:
PASS

Chunk ID: b57398
Wall time: 0.7497 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:30:36.963367+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:30:36.976004+00:00 elapsed_s=0.013 ms=0.021168
shape=0 variant=solution tflops=0.025 gbps=24.804 ms=0.021
shape=0 solution_peak_fraction=0.0138
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:30:36.977848+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:30:36.983809+00:00 elapsed_s=0.006 ms=0.018880
shape=1 variant=solution tflops=0.111 gbps=111.403 ms=0.019
shape=1 solution_peak_fraction=0.0619
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:30:36.985197+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:30:36.991152+00:00 elapsed_s=0.006 ms=0.019584
shape=2 variant=solution tflops=0.107 gbps=107.712 ms=0.020
shape=2 solution_peak_fraction=0.0598
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:30:36.991819+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:30:36.997623+00:00 elapsed_s=0.006 ms=0.016544
shape=3 variant=solution tflops=0.046 gbps=46.607 ms=0.017
shape=3 solution_peak_fraction=0.0259
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:30:36.999013+00:00
benchmark_event event=variant

... (226 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: d6256c
Wall time: 1.0011 seconds
Process running with session ID 21211
Original token count: 0
Output:

Chunk ID: d69a38
Wall time: 5.0006 seconds
Process running with session ID 21211
Original token count: 0
Output:

Chunk ID: 5d1636
Wall time: 5.0008 seconds
Process running with session ID 21211
Original token count: 0
Output:

Chunk ID: 512258
Wall time: 5.0006 seconds
Process running with session ID 21211
Original token count: 0
Output:

Chunk ID: b8f483
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: cd1b5d
Wall time: 0.7423 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:31:26.206545+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:31:26.218796+00:00 elapsed_s=0.012 ms=0.021360
shape=0 variant=solution tflops=0.025 gbps=24.581 ms=0.021
shape=0 solution_peak_fraction=0.0137
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:31:26.220651+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:31:26.226746+00:00 elapsed_s=0.006 ms=0.020768
shape=1 variant=solution tflops=0.101 gbps=101.276 ms=0.021
shape=1 solution_peak_fraction=0.0563
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:31:26.228144+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:31:26.234089+00:00 elapsed_s=0.006 ms=0.019488
shape=2 variant=solution tflops=0.108 gbps=108.243 ms=0.019
shape=2 solution_peak_fraction=0.0601
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:31:26.234757+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:31:26.240531+00:00 elapsed_s=0.006 ms=0.014800
shape=3 variant=solution tflops=0.052 gbps=52.099 ms=0.015
shape=3 solution_peak_fraction=0.0289
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:31:26.241924+00:00
benchmark_event event=variant

... (226 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: f222a2
Wall time: 1.0015 seconds
Process running with session ID 34901
Original token count: 0
Output:

Chunk ID: 3d9f9d
Wall time: 5.0016 seconds
Process running with session ID 34901
Original token count: 0
Output:

Chunk ID: 5939f0
Wall time: 5.0003 seconds
Process running with session ID 34901
Original token count: 0
Output:

Chunk ID: ddfbf7
Wall time: 5.0008 seconds
Process running with session ID 34901
Original token count: 0
Output:

Chunk ID: b2bdcf
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: bbd617
Wall time: 0.7565 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:32:35.264755+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:32:35.277212+00:00 elapsed_s=0.012 ms=0.021328
shape=0 variant=solution tflops=0.025 gbps=24.618 ms=0.021
shape=0 solution_peak_fraction=0.0137
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:32:35.279084+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:32:35.285254+00:00 elapsed_s=0.006 ms=0.022656
shape=1 variant=solution tflops=0.093 gbps=92.836 ms=0.023
shape=1 solution_peak_fraction=0.0516
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:32:35.286641+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:32:35.292590+00:00 elapsed_s=0.006 ms=0.020224
shape=2 variant=solution tflops=0.104 gbps=104.304 ms=0.020
shape=2 solution_peak_fraction=0.0579
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:32:35.293254+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:32:35.299004+00:00 elapsed_s=0.006 ms=0.014800
shape=3 variant=solution tflops=0.052 gbps=52.099 ms=0.015
shape=3 solution_peak_fraction=0.0289
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:32:35.300394+00:00
benchmark_event event=variant_

... (225 more chars)

output:
  Success. Updated the following files:
  M /workspace/problems/05_topk_bitonic/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: a114ad
Wall time: 1.0010 seconds
Process running with session ID 83598
Original token count: 0
Output:

Chunk ID: 5b88c3
Wall time: 5.0037 seconds
Process running with session ID 83598
Original token count: 0
Output:

Chunk ID: e09162
Wall time: 5.0013 seconds
Process running with session ID 83598
Original token count: 0
Output:

Chunk ID: d233c0
Wall time: 5.0007 seconds
Process running with session ID 83598
Original token count: 0
Output:

Chunk ID: 94fe24
Wall time: 0.1921 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: c5c3fa
Wall time: 0.8646 seconds
Process exited with code 0
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:33:25.317392+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:33:25.330121+00:00 elapsed_s=0.013 ms=0.021632
shape=0 variant=solution tflops=0.024 gbps=24.272 ms=0.022
shape=0 solution_peak_fraction=0.0135
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:33:25.332025+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:33:25.338167+00:00 elapsed_s=0.006 ms=0.020992
shape=1 variant=solution tflops=0.100 gbps=100.195 ms=0.021
shape=1 solution_peak_fraction=0.0557
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:33:25.340121+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:33:25.346159+00:00 elapsed_s=0.006 ms=0.019840
shape=2 variant=solution tflops=0.106 gbps=106.323 ms=0.020
shape=2 solution_peak_fraction=0.0591
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:33:25.347101+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:33:25.368438+00:00 elapsed_s=0.021 ms=0.013984
shape=3 variant=solution tflops=0.055 gbps=55.140 ms=0.014
shape=3 solution_peak_fraction=0.0306
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:33:25.370167+00:00
benchmark_event event=variant

... (226 more chars)

Chunk ID: dc1ea0
Wall time: 1.0010 seconds
Process running with session ID 89043
Original token count: 406
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:33:34.233717+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:33:34.247138+00:00 elapsed_s=0.013 ms=0.021296
shape=0 variant=solution tflops=0.025 gbps=24.655 ms=0.021
shape=0 solution_peak_fraction=0.0137
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:33:34.249199+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:33:34.255355+00:00 elapsed_s=0.006 ms=0.020768
shape=1 variant=solution tflops=0.101 gbps=101.276 ms=0.021
shape=1 solution_peak_fraction=0.0563
benchmark_event event=variant_start shape=2 variant=solution ts=2026-06-13T11:33:34.256790+00:00
benchmark_event event=variant_end shape=2 variant=solution ts=2026-06-13T11:33:34.262768+00:00 elapsed_s=0.006 ms=0.020064
shape=2 variant=solution tflops=0.105 gbps=105.136 ms=0.020
shape=2 solution_peak_fraction=0.0584
benchmark_event event=variant_start shape=3 variant=solution ts=2026-06-13T11:33:34.263461+00:00
benchmark_event event=variant_end shape=3 variant=solution ts=2026-06-13T11:33:34.269223+00:00 elapsed_s=0.006 ms=0.014752
shape=3 variant=solution tflops=0.052 gbps=52.269 ms=0.015
shape=3 solution_peak_fraction=0.0290
benchmark_event event=variant_start shape=4 variant=solution ts=2026-06-13T11:33:34.270718+00:00
benchmark_event ev

... (237 more chars)

Chunk ID: 9568ba
Wall time: 1.0010 seconds
Process running with session ID 9339
Original token count: 124
Output:
benchmark_event event=variant_start shape=0 variant=solution ts=2026-06-13T11:33:39.343781+00:00
benchmark_event event=variant_end shape=0 variant=solution ts=2026-06-13T11:33:39.362993+00:00 elapsed_s=0.019 ms=0.021264
shape=0 variant=solution tflops=0.025 gbps=24.692 ms=0.021
benchmark_event event=variant_start shape=0 variant=eager ts=2026-06-13T11:33:39.363019+00:00
benchmark_event event=variant_end shape=0 variant=eager ts=2026-06-13T11:33:39.414322+00:00 elapsed_s=0.051 ms=0.046272

Chunk ID: bbab71
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1303
Output:
benchmark_event event=variant_start shape=0 variant=compiled ts=2026-06-13T11:33:40.300963+00:00
benchmark_event event=variant_end shape=0 variant=compiled ts=2026-06-13T11:33:41.571917+00:00 elapsed_s=1.271 ms=0.082480
benchmark_event event=variant_start shape=0 variant=sota ts=2026-06-13T11:33:41.571945+00:00
benchmark_event event=variant_end shape=0 variant=sota ts=2026-06-13T11:33:41.579429+00:00 elapsed_s=0.007 ms=0.048688
shape=0 variant=eager tflops=0.011 gbps=11.347 ms=0.046
shape=0 variant=compiled tflops=0.006 gbps=6.366 ms=0.082
shape=0 variant=sota tflops=0.011 gbps=10.784 ms=0.049
shape=0 solution_peak_fraction=0.0137
benchmark_event event=variant_start shape=1 variant=solution ts=2026-06-13T11:33:41.581555+00:00
benchmark_event event=variant_end shape=1 variant=solution ts=2026-06-13T11:33:41.588920+00:00 elapsed_s=0.007 ms=0.020960
shape=1 variant=solution tflops=0.100 gbps=100.348 ms=0.021
benchmark_event event=variant_start shape=1 variant=eager ts=2026-06-13T11:33:41.588939+00:00
benchmark_event event=variant_end shape=1 variant=eager ts=2026-06-13T11:33:41.624307+00:00 elapsed_s=0.035 ms=0.046128
benchmark_event event=variant_start shape=1 variant=compiled ts=2026-06-13T11:33:41.625826+00:00
benchmark_event event=variant_end shape=1 variant=compiled ts=2026-06-13T11:33:41.707094+00:00 elapsed_s=0.081 ms=0.055376
benchmark_event event=variant_start shape=

... (3814 more chars)

Chunk ID: 4d046e
Wall time: 0.9081 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 1bc9b9
Wall time: 1.0006 seconds
Process running with session ID 80620
Original token count: 0
Output:

Chunk ID: c212e3
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 665
Output:
260
    cuda_sources=_CUDA_SRC,
    extra_cuda_cflags=["-O3", "--use_fast_math"],
    with_cuda=True,
    verbose=False,
)


class Model(nn.Module):
    def __init__(self, batch: int, n: int, k: int):
        super().__init__()
        self.batch, self.n, self.k = batch, n, k
        self.register_buffer("_dummy", torch.zeros(1))
        self.tiles_per_row = self._choose_tiles(batch, n, k)
        self._cache_key = None
        self._graph = None
        self._values = None
        self._indices = None
        self._cand_values = None
        self._cand_indices = None

    @staticmethod
    def _choose_tiles(batch: int, n: int, k: int) -> int:
        if k == 64:
            return 32
        if k == 32:
            return 4
        if k == 16:
            return 8
        if k == 8:
            return 2
        return 4

    def _allocate(self, x: torch.Tensor):
        values = torch.empty((self.batch, self.k), device=x.device, dtype=torch.float32)
        indices = torch.empty((self.batch, self.k), device=x.device, dtype=torch.int64)
        cand_shape = (self.batch * self.tiles_per_row, self.k)
        cand_values = torch.empty(cand_shape, device=x.device, dtype=torch.float32)
        cand_indices = torch.empty(cand_shape, device=x.device, dtype=torch.int32)
        return values, indices, cand_values, cand_indices

    def forward(self, x: torch.Tensor):
        key = 

... (1264 more chars)

Chunk ID: 9a22d6
Wall time: 5.0011 seconds
Process running with session ID 80620
Original token count: 0
Output:

Chunk ID: 5be33d
Wall time: 0.0000 seconds
Process exited with code -1
Original token count: 0
Output:

Chunk ID: 7f78bb
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:

Chunk ID: 6de5b4
Wall time: 0.0000 seconds
Process exited with code 1
Original token count: 0
Output: