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/home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm

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

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## master...origin/master

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uv 0.11.3 (x86_64-unknown-linux-gnu)

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Filesystem      Size  Used Avail Use% Mounted on
/dev/nvme0n1p2  3.6T  1.8T  1.7T  51% /

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Tue Apr 28 01:56:06 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   29C    P8             13W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

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"""Naive W4A16 weight-only quantized GEMM reference (correctness only).

AWQ/GPTQ-style scheme:
  x:      (M, K)               bf16
  w_q:    (K // 2, N)          uint8   -- two int4 weights packed per byte (low nibble = even-K, high = odd-K)
  scales: (K // group, N)      bf16
  zeros:  (K // group, N)      bf16    -- asymmetric (stored already as float zero-point)
  out:    (M, N)                bf16

Dequant (per group along K):
  w_bf[k, n] = (w_q[k, n] - zeros[k // group, n]) * scales[k // group, n]
where w_q[k, n] is the unpacked 4-bit value (0..15).

This reference unpacks to a full bf16 matrix and then runs torch.matmul. Slow and
memory-heavy on the dequant; the agent's solution must fuse unpack+GEMM.
"""
from __future__ import annotations

import torch
import torch.nn as nn

OP_TYPE = "gemm_w4a16"
SUPPORTED_PRECISIONS = ["int4_bf16"]
HARDWARE_REQUIRED = ["RTX_PRO_6000", "H100", "B200"]

GROUP_SIZE = 128


def _pack_int4(w_q: torch.Tensor) -> torch.Tensor:
    """Pack (K, N) uint8 in [0,15] into (K//2, N) uint8.

    Even rows go in the low nibble, odd rows in the high nibble.
    """
    K, N = w_q.shape
    assert K % 2 == 0
    lo = w_q[0::2].to(torch.uint8) & 0xF
    hi = w_q[1::2].to(torch.uint8) & 0xF
    return (lo | (hi << 4)).contiguous()


def _unpack_int4(w_packed: torch.Tensor, K: int) -> torch.Tensor:
    """Unpack (K//2, N) uint8 -> (K, N) uint8 in [0

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"""Correctness runner for FP8 GEMM.

Runs solution.Model vs reference.Model across all shapes in shapes.py, 3 seeds
each, with per-dtype atol/rtol. Also rejects forbidden ops by grep.
"""
import re
import sys
from pathlib import Path

import torch
import yaml

# Make the repo's src/ importable
REPO_ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(REPO_ROOT))

from src.eval.correctness import check_correctness  # noqa: E402


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_src = Path("solution.py").read_text() if Path("solution.py").exists() else ""
    for forbidden in meta.get("forbidden", []):
        pat = re.escape(forbidden)
        if re.search(pat, sol_src):
            print(f"FAIL: forbidden op used: {forbidden}")
            sys.exit(1)

    device = torch.device("cuda:0")
    tol_override = meta.get("tolerance") or None

    # --- Per-shape correctness --------------------------------------------
    all_shapes = shapes.SHAPES
    for shape_idx, shape in enumerate(all_shapes):
        # Rebuild reference mo

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"""Roofline benchmark for FP8 GEMM.

For each shape: times eager reference, compiled reference, SOTA (if available),
and the agent's solution. Reports achieved TFLOPS, GB/s, and peak_fraction.

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 time_fn  # noqa: E402
from src.hardware import get as get_hw  # noqa: E402


def _eval_formula(expr: str, vars: dict) -> float:
    # Very small eval: only names from `vars` are valid.
    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", "compute")
    flops_formula = meta["flops_formula"]
    bytes_formula = meta["bytes_formula"]
    num_perf_trials = int(meta.get("num_perf_trials", 30))

    device = torch.device("cuda:0

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"""Shape sweep for W4A16 GEMM.

Llama-style up_proj / qkv_proj shapes. Decode (M=1) is the bandwidth-bound
case every inference engine optimizes -- it's the bar to beat.
"""

SHAPES = [
    {"M": 1,   "N": 12288, "K": 4096},   # decode: memory-bound on int4 weight read
    {"M": 32,  "N": 12288, "K": 4096},   # small prefill: mixed regime
    {"M": 256, "N": 12288, "K": 4096},   # larger prefill: approaching compute
    {"M": 1,   "N": 4096,  "K": 4096},   # decode: square shape
    {"M": 16,  "N": 14336, "K": 4096},   # speculative-decode-ish
]

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Output:
name: 07_w4a16_gemm
display_name: "W4A16 Weight-only Quantized GEMM"
precision: int4_bf16
regime: memory  # decode-dominant; M=1 is bandwidth-bound on the int4 weight stream

# Dense-equivalent FLOPs (matmul work, ignoring dequant arithmetic).
flops_formula: "2 * M * N * K"

# Bytes moved per call (memory roofline):
#   x:      M*K*2          (bf16 activations, streamed in once)
#   w_q:    (K/2)*N        (packed int4, 0.5 B/elem)
#   scales: (K/128)*N*2    (bf16 scales)
#   zeros:  (K/128)*N*2    (bf16 zero-points)
#   out:    M*N*2          (bf16 store)
bytes_formula: "M*K*2 + (K/2)*N + (K/128)*N*2 + (K/128)*N*2 + M*N*2"

hardware: [RTX_PRO_6000]
peak_tflops_key: bf16
peak_bandwidth_key: dram

tolerance:
  bfloat16: 0.10  # group-quant adds noise on top of bf16 accumulator slop

# Forbidden ops -- agent must write the unpack + GEMM themselves, not call a
# vendor library that does both.
forbidden:
  - "bitsandbytes.functional.dequantize_4bit"
  - "bitsandbytes.functional.gemv_4bit"
  - "marlin_kernel.gemm"
  - "torch.nn.functional.linear"

sota:
  name: "bitsandbytes NF4 (gemv_4bit / dequantize_4bit + matmul)"
  url: "https://github.com/TimDettmers/bitsandbytes"
  function: "bitsandbytes.functional.gemv_4bit"
  notes: |
    Marlin (IST-DASLab) is the W4A16 SOTA on Ampere/Hopper but does not have
    SM120 (Blackwell consumer) kernels yet. GPTQ-Triton is unmaintained and
 

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"""SOTA reference for W4A16 GEMM.

Library survey on RTX PRO 6000 Blackwell (SM120, CC 12.0):

  - Marlin (IST-DASLab):         no SM120 kernels (Ampere/Hopper only). Skip.
  - GPTQ-Triton (fpgaminer):     unmaintained; pure Triton path works on SM120
                                 but is not faster than Marlin on its target HW
                                 and has no Blackwell tuning. Skip as primary.
  - AWQ (mit-han-lab/llm-awq):   CUDA kernels not built for SM120 in the wheel.
                                 Skip.
  - bitsandbytes >= 0.49.2:      CUDA kernels compile and run on SM120 (verified
                                 on this machine). Different quant scheme (NF4,
                                 symmetric, blocksize 64) than our reference's
                                 AWQ-style asymmetric INT4 with group_size 128,
                                 but it occupies the same memory regime and is
                                 the only tuned W4A16-class kernel that runs on
                                 SM120 today. Used here as an *informational*
                                 SOTA line, not as a numerical reference.

The benchmark calls `sota_forward(x, ref_model)` and times it; correctness is
NOT checked against this path (the quant scheme differs).
"""
from __future__ import annotations

import torch

_BNB_OK: bool | None = None


def is_availab

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Python 3.11.15

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../05_topk_bitonic/PROMPT.txt:5:This needs to be a real custom kernel — CUDA C++ via torch.utils.cpp_extension.load_inline, Triton, inline PTX, or CUTLASS, whatever you think fits. Don't reach for torch.topk, torch.kthvalue, torch.sort, or torch.argsort, or any of their Tensor.* / torch.ops.aten.* variants; they're off-limits and using them fails correctness. Anything you're uncertain about, look up PTX docs, clone CUTLASS or other reference repos, read library headers, and investigate.
../06_sonic_moe_swiglu/PROMPT.txt:5:This needs to be a real custom kernel — the whole point is to implement the variable-length grouped GEMM and fuse SwiGLU into the epilogue, not to dispatch to a vendor library. Don't import or call torch.matmul, torch.bmm, torch.nn.functional.linear, F.linear, or anything from sonic_moe. Try CUTLASS grouped GEMM (the intended path), Triton with a grouped-GEMM autotune, CUDA C++ via load_inline, or inline PTX — your call. Anything you're uncertain about, look up PTX docs, clone CUTLASS or sonic-moe or quack-kernels or other reference repos, read library headers, and investigate.
../03_paged_attention/PROMPT.txt:5:This needs to be a real custom kernel. Don't import or call vllm.attention, flashinfer.batch_decode_with_paged_kv_cache, flashinfer.decode, torch.nn.functional.scaled_dot_product_attention, or F.scaled_dot_product_attention — they're off-limits, i

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/usr/local/cuda-13/bin/nvcc

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nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2026 NVIDIA Corporation
Built on Mon_Mar_02_09:52:23_PM_PST_2026
Cuda compilation tools, release 13.2, V13.2.51
Build cuda_13.2.r13.2/compiler.37434383_0

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../../uv.lock
../../pyproject.toml

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Output:
2.11.0+cu130
13.0
triton 3.6.0
(12, 0)

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Output:
"""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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"""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 (PyYAM

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"""Roofline math: achieved TFLOPS / GB/s, peak fraction.

FLOPS and bytes formulas come from the problem's `problem.yaml`. They are the
dense-equivalent algorithmic work; kernels that skip work (sparsity, early
exit) are still measured against the dense cost.
"""
from __future__ import annotations


def compute_tflops(flops: float, time_ms: float) -> float:
    """flops per invocation and wall time in ms -> TFLOPS."""
    if time_ms <= 0:
        return 0.0
    return flops / (time_ms * 1e-3) / 1e12


def compute_gbps(bytes_moved: float, time_ms: float) -> float:
    """bytes per invocation and wall time in ms -> GB/s."""
    if time_ms <= 0:
        return 0.0
    return bytes_moved / (time_ms * 1e-3) / 1e9


def peak_fraction(
    achieved: float,
    peak: float,
) -> float:
    """Return achieved / peak, clamped to [0, infinity)."""
    if peak <= 0:
        return 0.0
    return max(0.0, achieved / peak)

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[project]
name = "kernelbench-hard"
version = "0.1.0"
description = "Surgical GPU kernel benchmark. Small deck, frontier agents, roofline metric, link-don't-spoil problem briefs."
requires-python = ">=3.11"
dependencies = [
    "torch>=2.11",
    "numpy>=1.26",
    "pyyaml>=6.0",
    "rich>=13.7",
    "matplotlib>=3.9",
    "pytest>=8.0",
    "ruff>=0.6",
    "einops>=0.8.2",
    "requests<2.33",
]

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[tool.hatch.build.targets.wheel]
packages = ["src"]

[tool.ruff]
line-length = 100
target-version = "py311"

[tool.ruff.lint]
select = ["E", "F", "W", "I", "B", "UP"]
ignore = ["E501"]

output:
  Success. Updated the following files:
  A /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

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Output:
Traceback (most recent call last):
  File "/home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/check.py", line 112, in <module>
    main()
  File "/home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/check.py", line 73, in main
    sol_out = sol_model(*inputs)
              ^^^^^^^^^^^^^^^^^^
  File "/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
    return forward_call(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py", line 196, in forward
    return _launch_w4a16(x, self.w_q, self.scales, self.zeros, self.M, self.N, self.K)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py", line 137, in _launch_w4a16
    _w4a16_gemv_kernel[grid](
  File "/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/triton/runtime/jit.py", line 370, in <lambda>
    return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs)
      

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output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

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Output:
PASS

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Output:
Tue Apr 28 01:58:17 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   29C    P5             44W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

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Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.073 ms=0.763
shape=0 variant=compiled tflops=0.674 gbps=179.280 ms=0.149
shape=0 variant=sota tflops=2.327 gbps=618.793 ms=0.043
shape=0 variant=solution tflops=1.326 gbps=352.627 ms=0.076
shape=0 solution_peak_fraction=0.1959
shape=1 variant=eager tflops=4.225 gbps=36.445 ms=0.762
shape=1 variant=compiled tflops=20.634 gbps=177.996 ms=0.156
shape=1 variant=sota tflops=23.456 gbps=202.342 ms=0.137
shape=1 variant=solution tflops=26.613 gbps=229.571 ms=0.121
shape=1 solution_peak_fraction=0.1275
shape=2 variant=eager tflops=31.227 gbps=42.567 ms=0.825
shape=2 variant=compiled tflops=120.330 gbps=164.024 ms=0.214
shape=2 variant=sota tflops=133.384 gbps=181.818 ms=0.193
shape=2 variant=solution tflops=56.564 gbps=77.104 ms=0.456
shape=2 solution_peak_fraction=0.0428
shape=3 

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output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

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Output:
Tue Apr 28 01:58:43 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             12W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: cdcb4f
Wall time: 1.0018 seconds
Process running with session ID 47751
Original token count: 0
Output:

Chunk ID: db4c68
Wall time: 2.3246 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.096 ms=0.763
shape=0 variant=compiled tflops=0.671 gbps=178.457 ms=0.150
shape=0 variant=sota tflops=2.309 gbps=614.024 ms=0.044
shape=0 variant=solution tflops=1.538 gbps=408.999 ms=0.065
shape=0 solution_peak_fraction=0.2272
shape=1 variant=eager tflops=4.174 gbps=36.004 ms=0.772
shape=1 variant=compiled tflops=20.643 gbps=178.069 ms=0.156
shape=1 variant=sota tflops=23.437 gbps=202.177 ms=0.137
shape=1 variant=solution tflops=26.571 gbps=229.207 ms=0.121
shape=1 solution_peak_fraction=0.1273
shape=2 variant=eager tflops=31.350 gbps=42.734 ms=0.822
shape=2 variant=compiled tflops=120.971 gbps=164.898 ms=0.213
shape=2 variant=sota tflops=133.517 gbps=181.999 ms=0.193
shape=2 variant=solution tflops=56.544 gbps=77.077 ms=0.456
shape=2 solution_peak_fraction=0.0428
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: e91220
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 01:58:59 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             11W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 32ee7c
Wall time: 1.0010 seconds
Process running with session ID 21867
Original token count: 0
Output:

Chunk ID: f9e8cc
Wall time: 2.1164 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.074 ms=0.763
shape=0 variant=compiled tflops=0.667 gbps=177.454 ms=0.151
shape=0 variant=sota tflops=2.305 gbps=613.124 ms=0.044
shape=0 variant=solution tflops=1.543 gbps=410.303 ms=0.065
shape=0 solution_peak_fraction=0.2279
shape=1 variant=eager tflops=4.174 gbps=36.010 ms=0.772
shape=1 variant=compiled tflops=20.638 gbps=178.032 ms=0.156
shape=1 variant=sota tflops=23.416 gbps=201.989 ms=0.138
shape=1 variant=solution tflops=26.397 gbps=227.705 ms=0.122
shape=1 solution_peak_fraction=0.1265
shape=2 variant=eager tflops=31.346 gbps=42.728 ms=0.822
shape=2 variant=compiled tflops=120.953 gbps=164.874 ms=0.213
shape=2 variant=sota tflops=133.495 gbps=181.969 ms=0.193
shape=2 variant=solution tflops=31.690 gbps=43.197 ms=0.813
shape=2 solution_peak_fraction=0.0240
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 7823a1
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 01:59:12 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P5             42W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 3fc577
Wall time: 1.0013 seconds
Process running with session ID 53421
Original token count: 0
Output:

Chunk ID: 2e5db1
Wall time: 2.3039 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.047 ms=0.764
shape=0 variant=compiled tflops=0.671 gbps=178.343 ms=0.150
shape=0 variant=sota tflops=2.280 gbps=606.238 ms=0.044
shape=0 variant=solution tflops=1.547 gbps=411.312 ms=0.065
shape=0 solution_peak_fraction=0.2285
shape=1 variant=eager tflops=4.168 gbps=35.957 ms=0.773
shape=1 variant=compiled tflops=20.533 gbps=177.124 ms=0.157
shape=1 variant=sota tflops=23.261 gbps=200.659 ms=0.138
shape=1 variant=solution tflops=26.428 gbps=227.974 ms=0.122
shape=1 solution_peak_fraction=0.1267
shape=2 variant=eager tflops=31.337 gbps=42.716 ms=0.822
shape=2 variant=compiled tflops=120.285 gbps=163.962 ms=0.214
shape=2 variant=sota tflops=133.252 gbps=181.638 ms=0.193
shape=2 variant=solution tflops=30.928 gbps=42.159 ms=0.833
shape=2 solution_peak_fraction=0.0234
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 61def7
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 01:59:46 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             10W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: f70dd7
Wall time: 1.0010 seconds
Process running with session ID 78593
Original token count: 0
Output:

Chunk ID: a38220
Wall time: 0.4689 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.072 ms=0.763
shape=0 variant=compiled tflops=0.669 gbps=177.926 ms=0.150
shape=0 variant=sota tflops=2.271 gbps=604.049 ms=0.044
shape=0 variant=solution tflops=1.518 gbps=403.671 ms=0.066
shape=0 solution_peak_fraction=0.2243
shape=1 variant=eager tflops=4.170 gbps=35.969 ms=0.773
shape=1 variant=compiled tflops=20.628 gbps=177.941 ms=0.156
shape=1 variant=sota tflops=23.454 gbps=202.319 ms=0.137
shape=1 variant=solution tflops=26.428 gbps=227.974 ms=0.122
shape=1 solution_peak_fraction=0.1267
shape=2 variant=eager tflops=31.354 gbps=42.739 ms=0.822
shape=2 variant=compiled tflops=120.663 gbps=164.478 ms=0.214
shape=2 variant=sota tflops=133.572 gbps=182.075 ms=0.193
shape=2 variant=solution tflops=72.420 gbps=98.717 ms=0.356
shape=2 solution_peak_fraction=0.0548
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 437f31
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:00:02 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8             18W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 3e71b5
Wall time: 1.0011 seconds
Process running with session ID 75530
Original token count: 0
Output:

Chunk ID: 2488ef
Wall time: 2.2680 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.070 ms=0.763
shape=0 variant=compiled tflops=0.673 gbps=179.068 ms=0.150
shape=0 variant=sota tflops=2.311 gbps=614.701 ms=0.044
shape=0 variant=solution tflops=1.535 gbps=408.201 ms=0.066
shape=0 solution_peak_fraction=0.2268
shape=1 variant=eager tflops=4.174 gbps=36.003 ms=0.772
shape=1 variant=compiled tflops=20.615 gbps=177.832 ms=0.156
shape=1 variant=sota tflops=23.405 gbps=201.895 ms=0.138
shape=1 variant=solution tflops=26.571 gbps=229.207 ms=0.121
shape=1 solution_peak_fraction=0.1273
shape=2 variant=eager tflops=31.339 gbps=42.719 ms=0.822
shape=2 variant=compiled tflops=120.573 gbps=164.355 ms=0.214
shape=2 variant=sota tflops=133.650 gbps=182.180 ms=0.193
shape=2 variant=solution tflops=59.963 gbps=81.737 ms=0.430
shape=2 solution_peak_fraction=0.0454
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 3b970f
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:00:16 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P5             30W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: bc4b01
Wall time: 1.0019 seconds
Process running with session ID 14708
Original token count: 0
Output:

Chunk ID: 3a91bf
Wall time: 2.2261 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.078 ms=0.763
shape=0 variant=compiled tflops=0.673 gbps=179.107 ms=0.149
shape=0 variant=sota tflops=2.305 gbps=612.900 ms=0.044
shape=0 variant=solution tflops=1.545 gbps=411.009 ms=0.065
shape=0 solution_peak_fraction=0.2283
shape=1 variant=eager tflops=4.164 gbps=35.920 ms=0.774
shape=1 variant=compiled tflops=20.708 gbps=178.636 ms=0.156
shape=1 variant=sota tflops=23.448 gbps=202.272 ms=0.137
shape=1 variant=solution tflops=26.383 gbps=227.585 ms=0.122
shape=1 solution_peak_fraction=0.1264
shape=2 variant=eager tflops=31.334 gbps=42.712 ms=0.822
shape=2 variant=compiled tflops=120.501 gbps=164.257 ms=0.214
shape=2 variant=sota tflops=133.439 gbps=181.894 ms=0.193
shape=2 variant=solution tflops=68.238 gbps=93.016 ms=0.378
shape=2 solution_peak_fraction=0.0517
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 1ec870
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:00:40 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8             11W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 0209ae
Wall time: 1.0010 seconds
Process running with session ID 22387
Original token count: 0
Output:

Chunk ID: 6d6a0a
Wall time: 2.0863 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.065 ms=0.763
shape=0 variant=compiled tflops=0.671 gbps=178.457 ms=0.150
shape=0 variant=sota tflops=2.274 gbps=604.704 ms=0.044
shape=0 variant=solution tflops=1.544 gbps=410.605 ms=0.065
shape=0 solution_peak_fraction=0.2281
shape=1 variant=eager tflops=4.173 gbps=35.995 ms=0.772
shape=1 variant=compiled tflops=20.670 gbps=178.306 ms=0.156
shape=1 variant=sota tflops=23.350 gbps=201.427 ms=0.138
shape=1 variant=solution tflops=26.476 gbps=228.393 ms=0.122
shape=1 solution_peak_fraction=0.1269
shape=2 variant=eager tflops=31.378 gbps=42.772 ms=0.821
shape=2 variant=compiled tflops=120.727 gbps=164.565 ms=0.213
shape=2 variant=sota tflops=133.274 gbps=181.668 ms=0.193
shape=2 variant=solution tflops=80.952 gbps=110.347 ms=0.318
shape=2 solution_peak_fraction=0.0613
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 29c8e7
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:01:01 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8             17W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 87b301
Wall time: 1.0008 seconds
Process running with session ID 52207
Original token count: 0
Output:

Chunk ID: 14e128
Wall time: 2.8355 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.082 ms=0.763
shape=0 variant=compiled tflops=0.671 gbps=178.381 ms=0.150
shape=0 variant=sota tflops=2.325 gbps=618.336 ms=0.043
shape=0 variant=solution tflops=1.534 gbps=408.002 ms=0.066
shape=0 solution_peak_fraction=0.2267
shape=1 variant=eager tflops=4.173 gbps=36.000 ms=0.772
shape=1 variant=compiled tflops=20.602 gbps=177.722 ms=0.156
shape=1 variant=sota tflops=23.484 gbps=202.578 ms=0.137
shape=1 variant=solution tflops=26.379 gbps=227.556 ms=0.122
shape=1 solution_peak_fraction=0.1264
shape=2 variant=eager tflops=31.352 gbps=42.736 ms=0.822
shape=2 variant=compiled tflops=120.582 gbps=164.367 ms=0.214
shape=2 variant=sota tflops=133.351 gbps=181.773 ms=0.193
shape=2 variant=solution tflops=31.796 gbps=43.341 ms=0.810
shape=2 solution_peak_fraction=0.0241
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: c53877
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:01:16 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P5             27W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 5271f2
Wall time: 1.0009 seconds
Process running with session ID 11206
Original token count: 0
Output:

Chunk ID: 066004
Wall time: 2.2445 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.057 ms=0.764
shape=0 variant=compiled tflops=0.665 gbps=176.985 ms=0.151
shape=0 variant=sota tflops=2.316 gbps=616.059 ms=0.043
shape=0 variant=solution tflops=1.539 gbps=409.299 ms=0.065
shape=0 solution_peak_fraction=0.2274
shape=1 variant=eager tflops=4.208 gbps=36.301 ms=0.765
shape=1 variant=compiled tflops=20.609 gbps=177.777 ms=0.156
shape=1 variant=sota tflops=23.459 gbps=202.366 ms=0.137
shape=1 variant=solution tflops=26.390 gbps=227.645 ms=0.122
shape=1 solution_peak_fraction=0.1265
shape=2 variant=eager tflops=31.315 gbps=42.687 ms=0.823
shape=2 variant=compiled tflops=120.971 gbps=164.898 ms=0.213
shape=2 variant=sota tflops=133.406 gbps=181.848 ms=0.193
shape=2 variant=solution tflops=69.220 gbps=94.355 ms=0.372
shape=2 solution_peak_fraction=0.0524
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: db0fb5
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:01:28 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   32C    P3             48W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 990301
Wall time: 1.0010 seconds
Process running with session ID 38103
Original token count: 0
Output:

Chunk ID: 43c1e1
Wall time: 1.2840 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.073 ms=0.763
shape=0 variant=compiled tflops=0.670 gbps=178.172 ms=0.150
shape=0 variant=sota tflops=2.288 gbps=608.442 ms=0.044
shape=0 variant=solution tflops=1.530 gbps=407.009 ms=0.066
shape=0 solution_peak_fraction=0.2261
shape=1 variant=eager tflops=4.173 gbps=35.998 ms=0.772
shape=1 variant=compiled tflops=20.569 gbps=177.432 ms=0.157
shape=1 variant=sota tflops=23.331 gbps=201.264 ms=0.138
shape=1 variant=solution tflops=26.435 gbps=228.034 ms=0.122
shape=1 solution_peak_fraction=0.1267
shape=2 variant=eager tflops=31.345 gbps=42.727 ms=0.822
shape=2 variant=compiled tflops=120.826 gbps=164.700 ms=0.213
shape=2 variant=sota tflops=132.933 gbps=181.203 ms=0.194
shape=2 variant=solution tflops=79.698 gbps=108.638 ms=0.323
shape=2 solution_peak_fraction=0.0604
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 870d94
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:01:45 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   32C    P8             12W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 2c6aba
Wall time: 1.0010 seconds
Process running with session ID 55323
Original token count: 0
Output:

Chunk ID: d2be9f
Wall time: 2.0530 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.068 ms=0.763
shape=0 variant=compiled tflops=0.667 gbps=177.454 ms=0.151
shape=0 variant=sota tflops=2.280 gbps=606.457 ms=0.044
shape=0 variant=solution tflops=1.533 gbps=407.604 ms=0.066
shape=0 solution_peak_fraction=0.2264
shape=1 variant=eager tflops=4.172 gbps=35.989 ms=0.772
shape=1 variant=compiled tflops=20.560 gbps=177.359 ms=0.157
shape=1 variant=sota tflops=23.437 gbps=202.177 ms=0.137
shape=1 variant=solution tflops=26.421 gbps=227.914 ms=0.122
shape=1 solution_peak_fraction=0.1266
shape=2 variant=eager tflops=31.336 gbps=42.715 ms=0.822
shape=2 variant=compiled tflops=120.375 gbps=164.085 ms=0.214
shape=2 variant=sota tflops=133.839 gbps=182.438 ms=0.193
shape=2 variant=solution tflops=43.898 gbps=59.838 ms=0.587
shape=2 solution_peak_fraction=0.0332
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: ceb61a
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:02:01 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   32C    P5             32W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 754e66
Wall time: 1.0011 seconds
Process running with session ID 83111
Original token count: 0
Output:

Chunk ID: 551787
Wall time: 1.1108 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.046 ms=0.764
shape=0 variant=compiled tflops=0.669 gbps=177.945 ms=0.150
shape=0 variant=sota tflops=2.276 gbps=605.360 ms=0.044
shape=0 variant=solution tflops=1.589 gbps=422.529 ms=0.063
shape=0 solution_peak_fraction=0.2347
shape=1 variant=eager tflops=4.169 gbps=35.960 ms=0.773
shape=1 variant=compiled tflops=20.621 gbps=177.886 ms=0.156
shape=1 variant=sota tflops=23.323 gbps=201.194 ms=0.138
shape=1 variant=solution tflops=26.414 gbps=227.854 ms=0.122
shape=1 solution_peak_fraction=0.1266
shape=2 variant=eager tflops=31.315 gbps=42.686 ms=0.823
shape=2 variant=compiled tflops=120.564 gbps=164.343 ms=0.214
shape=2 variant=sota tflops=133.384 gbps=181.818 ms=0.193
shape=2 variant=solution tflops=80.753 gbps=110.076 ms=0.319
shape=2 solution_peak_fraction=0.0612
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 931b6f
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:02:15 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   32C    P5             42W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: d27f12
Wall time: 1.0011 seconds
Process running with session ID 5545
Original token count: 0
Output:

Chunk ID: bb5eea
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.043 ms=0.764
shape=0 variant=compiled tflops=0.669 gbps=178.040 ms=0.150
shape=0 variant=sota tflops=2.275 gbps=605.141 ms=0.044
shape=0 variant=solution tflops=1.236 gbps=328.726 ms=0.081
shape=0 solution_peak_fraction=0.1826
shape=1 variant=eager tflops=4.166 gbps=35.938 ms=0.773
shape=1 variant=compiled tflops=20.628 gbps=177.941 ms=0.156
shape=1 variant=sota tflops=23.407 gbps=201.919 ms=0.138
shape=1 variant=solution tflops=26.459 gbps=228.243 ms=0.122
shape=1 solution_peak_fraction=0.1268
shape=2 variant=eager tflops=31.335 gbps=42.714 ms=0.822
shape=2 variant=compiled tflops=120.447 gbps=164.183 ms=0.214
shape=2 variant=sota tflops=133.119 gbps=181.458 ms=0.194
shape=2 variant=solution tflops=80.700 gbps=110.004 ms=0.319
shape=2 solution_peak_fraction=0.0611
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 4f9b52
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:02:48 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8             11W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 44d766
Wall time: 1.0010 seconds
Process running with session ID 1002
Original token count: 0
Output:

Chunk ID: 2e6037
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.076 ms=0.763
shape=0 variant=compiled tflops=0.670 gbps=178.115 ms=0.150
shape=0 variant=sota tflops=2.320 gbps=616.968 ms=0.043
shape=0 variant=solution tflops=1.529 gbps=406.614 ms=0.066
shape=0 solution_peak_fraction=0.2259
shape=1 variant=eager tflops=4.169 gbps=35.963 ms=0.773
shape=1 variant=compiled tflops=20.544 gbps=177.215 ms=0.157
shape=1 variant=sota tflops=23.424 gbps=202.060 ms=0.138
shape=1 variant=solution tflops=26.445 gbps=228.123 ms=0.122
shape=1 solution_peak_fraction=0.1267
shape=2 variant=eager tflops=31.314 gbps=42.685 ms=0.823
shape=2 variant=compiled tflops=120.537 gbps=164.306 ms=0.214
shape=2 variant=sota tflops=133.307 gbps=181.713 ms=0.193
shape=2 variant=solution tflops=80.749 gbps=110.070 ms=0.319
shape=2 solution_peak_fraction=0.0611
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: b7bbfe
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:03:23 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8             15W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: ff7dd3
Wall time: 1.0010 seconds
Process running with session ID 31238
Original token count: 0
Output:

Chunk ID: d9ce76
Wall time: 0.9722 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.066 ms=0.763
shape=0 variant=compiled tflops=0.638 gbps=169.732 ms=0.158
shape=0 variant=sota tflops=2.310 gbps=614.475 ms=0.044
shape=0 variant=solution tflops=1.258 gbps=334.509 ms=0.080
shape=0 solution_peak_fraction=0.1858
shape=1 variant=eager tflops=4.167 gbps=35.943 ms=0.773
shape=1 variant=compiled tflops=20.581 gbps=177.541 ms=0.157
shape=1 variant=sota tflops=23.234 gbps=200.427 ms=0.139
shape=1 variant=solution tflops=26.445 gbps=228.123 ms=0.122
shape=1 solution_peak_fraction=0.1267
shape=2 variant=eager tflops=31.317 gbps=42.688 ms=0.823
shape=2 variant=compiled tflops=120.105 gbps=163.718 ms=0.215
shape=2 variant=sota tflops=133.307 gbps=181.713 ms=0.193
shape=2 variant=solution tflops=80.712 gbps=110.020 ms=0.319
shape=2 solution_peak_fraction=0.0611
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 635bba
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:04:09 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             10W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 2592fa
Wall time: 1.0019 seconds
Process running with session ID 15959
Original token count: 0
Output:

Chunk ID: 4cfdba
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: b37e79
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:04:27 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             13W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: be93d9
Wall time: 1.0009 seconds
Process running with session ID 25296
Original token count: 0
Output:

Chunk ID: dc9873
Wall time: 0.8288 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.011 ms=0.765
shape=0 variant=compiled tflops=0.667 gbps=177.323 ms=0.151
shape=0 variant=sota tflops=2.292 gbps=609.550 ms=0.044
shape=0 variant=solution tflops=1.369 gbps=364.218 ms=0.074
shape=0 solution_peak_fraction=0.2023
shape=1 variant=eager tflops=4.164 gbps=35.917 ms=0.774
shape=1 variant=compiled tflops=20.621 gbps=177.886 ms=0.156
shape=1 variant=sota tflops=23.302 gbps=201.007 ms=0.138
shape=1 variant=solution tflops=25.497 gbps=219.947 ms=0.126
shape=1 solution_peak_fraction=0.1222
shape=2 variant=eager tflops=31.272 gbps=42.627 ms=0.824
shape=2 variant=compiled tflops=120.303 gbps=163.987 ms=0.214
shape=2 variant=sota tflops=133.021 gbps=181.323 ms=0.194
shape=2 variant=solution tflops=70.216 gbps=95.713 ms=0.367
shape=2 solution_peak_fraction=0.0532
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 6b54fe
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:04:53 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             10W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 5e6704
Wall time: 1.0011 seconds
Process running with session ID 15885
Original token count: 0
Output:

Chunk ID: f3f558
Wall time: 2.2423 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.048 ms=0.764
shape=0 variant=compiled tflops=0.670 gbps=178.172 ms=0.150
shape=0 variant=sota tflops=2.284 gbps=607.558 ms=0.044
shape=0 variant=solution tflops=1.572 gbps=417.991 ms=0.064
shape=0 solution_peak_fraction=0.2322
shape=1 variant=eager tflops=4.170 gbps=35.969 ms=0.773
shape=1 variant=compiled tflops=20.423 gbps=176.172 ms=0.158
shape=1 variant=sota tflops=23.229 gbps=200.381 ms=0.139
shape=1 variant=solution tflops=26.390 gbps=227.645 ms=0.122
shape=1 solution_peak_fraction=0.1265
shape=2 variant=eager tflops=31.306 gbps=42.674 ms=0.823
shape=2 variant=compiled tflops=119.926 gbps=163.474 ms=0.215
shape=2 variant=sota tflops=133.153 gbps=181.503 ms=0.194
shape=2 variant=solution tflops=80.454 gbps=109.669 ms=0.320
shape=2 solution_peak_fraction=0.0609
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: c5436a
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:05:09 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             12W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: f744b5
Wall time: 1.0010 seconds
Process running with session ID 28069
Original token count: 0
Output:

Chunk ID: e9a268
Wall time: 2.4937 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=34.985 ms=0.765
shape=0 variant=compiled tflops=0.661 gbps=175.924 ms=0.152
shape=0 variant=sota tflops=2.284 gbps=607.338 ms=0.044
shape=0 variant=solution tflops=1.549 gbps=412.021 ms=0.065
shape=0 solution_peak_fraction=0.2289
shape=1 variant=eager tflops=4.162 gbps=35.903 ms=0.774
shape=1 variant=compiled tflops=20.504 gbps=176.872 ms=0.157
shape=1 variant=sota tflops=23.296 gbps=200.961 ms=0.138
shape=1 variant=solution tflops=22.271 gbps=192.113 ms=0.145
shape=1 solution_peak_fraction=0.1067
shape=2 variant=eager tflops=31.314 gbps=42.685 ms=0.823
shape=2 variant=compiled tflops=120.087 gbps=163.693 ms=0.215
shape=2 variant=sota tflops=133.021 gbps=181.323 ms=0.194
shape=2 variant=solution tflops=80.587 gbps=109.850 ms=0.320
shape=2 solution_peak_fraction=0.0610
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 649160
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:06:15 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             15W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: e89d0b
Wall time: 1.0014 seconds
Process running with session ID 71255
Original token count: 0
Output:

Chunk ID: 43235b
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 0c61e2
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:06:24 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P3             48W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 75cd15
Wall time: 1.0003 seconds
Process running with session ID 47388
Original token count: 0
Output:

Chunk ID: 29453a
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.045 ms=0.764
shape=0 variant=compiled tflops=0.667 gbps=177.360 ms=0.151
shape=0 variant=sota tflops=2.280 gbps=606.457 ms=0.044
shape=0 variant=solution tflops=1.819 gbps=483.728 ms=0.055
shape=0 solution_peak_fraction=0.2687
shape=1 variant=eager tflops=4.160 gbps=35.888 ms=0.774
shape=1 variant=compiled tflops=20.355 gbps=175.584 ms=0.158
shape=1 variant=sota tflops=23.189 gbps=200.035 ms=0.139
shape=1 variant=solution tflops=24.056 gbps=207.516 ms=0.134
shape=1 solution_peak_fraction=0.1153
shape=2 variant=eager tflops=31.171 gbps=42.489 ms=0.827
shape=2 variant=compiled tflops=120.366 gbps=164.073 ms=0.214
shape=2 variant=sota tflops=132.473 gbps=180.577 ms=0.195
shape=2 variant=solution tflops=83.184 gbps=113.390 ms=0.310
shape=2 solution_peak_fraction=0.0630
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: f9625b
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:06:52 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             10W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 041437
Wall time: 1.0010 seconds
Process running with session ID 46332
Original token count: 0
Output:

Chunk ID: e075dc
Wall time: 1.3796 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.029 ms=0.764
shape=0 variant=compiled tflops=0.672 gbps=178.648 ms=0.150
shape=0 variant=sota tflops=2.307 gbps=613.574 ms=0.044
shape=0 variant=solution tflops=1.820 gbps=484.148 ms=0.055
shape=0 solution_peak_fraction=0.2690
shape=1 variant=eager tflops=4.167 gbps=35.945 ms=0.773
shape=1 variant=compiled tflops=20.590 gbps=177.613 ms=0.156
shape=1 variant=sota tflops=23.302 gbps=201.007 ms=0.138
shape=1 variant=solution tflops=28.732 gbps=247.853 ms=0.112
shape=1 solution_peak_fraction=0.1377
shape=2 variant=eager tflops=31.212 gbps=42.545 ms=0.826
shape=2 variant=compiled tflops=121.382 gbps=165.458 ms=0.212
shape=2 variant=sota tflops=133.450 gbps=181.909 ms=0.193
shape=2 variant=solution tflops=83.262 gbps=113.495 ms=0.310
shape=2 solution_peak_fraction=0.0631
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: a07232
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:07:08 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   30C    P8             11W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: e5f6a1
Wall time: 1.0011 seconds
Process running with session ID 51535
Original token count: 0
Output:

Chunk ID: 1c1f1b
Wall time: 1.9684 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.062 ms=0.764
shape=0 variant=compiled tflops=0.641 gbps=170.545 ms=0.157
shape=0 variant=sota tflops=2.301 gbps=612.003 ms=0.044
shape=0 variant=solution tflops=1.804 gbps=479.844 ms=0.056
shape=0 solution_peak_fraction=0.2666
shape=1 variant=eager tflops=4.170 gbps=35.971 ms=0.772
shape=1 variant=compiled tflops=20.502 gbps=176.854 ms=0.157
shape=1 variant=sota tflops=23.500 gbps=202.720 ms=0.137
shape=1 variant=solution tflops=34.088 gbps=294.058 ms=0.094
shape=1 solution_peak_fraction=0.1634
shape=2 variant=eager tflops=31.260 gbps=42.611 ms=0.824
shape=2 variant=compiled tflops=121.528 gbps=165.657 ms=0.212
shape=2 variant=sota tflops=133.340 gbps=181.758 ms=0.193
shape=2 variant=solution tflops=83.365 gbps=113.636 ms=0.309
shape=2 solution_peak_fraction=0.0631
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 17b865
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:07:24 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P5             21W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 1e3227
Wall time: 1.0011 seconds
Process running with session ID 85422
Original token count: 0
Output:

Chunk ID: 2c977d
Wall time: 1.0551 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.090 ms=0.763
shape=0 variant=compiled tflops=0.668 gbps=177.586 ms=0.151
shape=0 variant=sota tflops=2.261 gbps=601.444 ms=0.045
shape=0 variant=solution tflops=1.802 gbps=479.294 ms=0.056
shape=0 solution_peak_fraction=0.2663
shape=1 variant=eager tflops=4.160 gbps=35.886 ms=0.774
shape=1 variant=compiled tflops=20.466 gbps=176.548 ms=0.157
shape=1 variant=sota tflops=23.294 gbps=200.938 ms=0.138
shape=1 variant=solution tflops=34.002 gbps=293.313 ms=0.095
shape=1 solution_peak_fraction=0.1630
shape=2 variant=eager tflops=31.222 gbps=42.559 ms=0.825
shape=2 variant=compiled tflops=120.537 gbps=164.306 ms=0.214
shape=2 variant=sota tflops=132.999 gbps=181.293 ms=0.194
shape=2 variant=solution tflops=83.056 gbps=113.215 ms=0.310
shape=2 solution_peak_fraction=0.0629
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: ba29d9
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:07:40 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P5             19W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: b63375
Wall time: 1.0011 seconds
Process running with session ID 7651
Original token count: 0
Output:

Chunk ID: 385538
Wall time: 1.9589 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.101 ms=0.763
shape=0 variant=compiled tflops=0.671 gbps=178.381 ms=0.150
shape=0 variant=sota tflops=2.311 gbps=614.701 ms=0.044
shape=0 variant=solution tflops=1.821 gbps=484.288 ms=0.055
shape=0 solution_peak_fraction=0.2690
shape=1 variant=eager tflops=4.164 gbps=35.916 ms=0.774
shape=1 variant=compiled tflops=20.600 gbps=177.704 ms=0.156
shape=1 variant=sota tflops=23.337 gbps=201.310 ms=0.138
shape=1 variant=solution tflops=34.100 gbps=294.157 ms=0.094
shape=1 solution_peak_fraction=0.1634
shape=2 variant=eager tflops=31.213 gbps=42.548 ms=0.826
shape=2 variant=compiled tflops=121.473 gbps=165.582 ms=0.212
shape=2 variant=sota tflops=133.539 gbps=182.029 ms=0.193
shape=2 variant=solution tflops=83.197 gbps=113.408 ms=0.310
shape=2 solution_peak_fraction=0.0630
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 8f34cc
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:07:52 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   32C    P3             48W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 72b51c
Wall time: 1.0010 seconds
Process running with session ID 78656
Original token count: 0
Output:

Chunk ID: 82a1a1
Wall time: 0.7879 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.047 ms=0.764
shape=0 variant=compiled tflops=0.672 gbps=178.724 ms=0.150
shape=0 variant=sota tflops=2.287 gbps=608.221 ms=0.044
shape=0 variant=solution tflops=1.817 gbps=483.309 ms=0.055
shape=0 solution_peak_fraction=0.2685
shape=1 variant=eager tflops=4.169 gbps=35.966 ms=0.773
shape=1 variant=compiled tflops=20.640 gbps=178.050 ms=0.156
shape=1 variant=sota tflops=23.402 gbps=201.872 ms=0.138
shape=1 variant=solution tflops=34.175 gbps=294.806 ms=0.094
shape=1 solution_peak_fraction=0.1638
shape=2 variant=eager tflops=31.232 gbps=42.573 ms=0.825
shape=2 variant=compiled tflops=121.859 gbps=166.108 ms=0.211
shape=2 variant=sota tflops=133.318 gbps=181.728 ms=0.193
shape=2 variant=solution tflops=83.335 gbps=113.595 ms=0.309
shape=2 solution_peak_fraction=0.0631
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: 37c093
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:08:08 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8             12W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 647492
Wall time: 1.0010 seconds
Process running with session ID 39584
Original token count: 0
Output:

Chunk ID: ce2c5b
Wall time: 1.0753 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.082 ms=0.763
shape=0 variant=compiled tflops=0.672 gbps=178.648 ms=0.150
shape=0 variant=sota tflops=2.274 gbps=604.704 ms=0.044
shape=0 variant=solution tflops=1.816 gbps=482.891 ms=0.055
shape=0 solution_peak_fraction=0.2683
shape=1 variant=eager tflops=4.168 gbps=35.957 ms=0.773
shape=1 variant=compiled tflops=20.600 gbps=177.704 ms=0.156
shape=1 variant=sota tflops=23.386 gbps=201.731 ms=0.138
shape=1 variant=solution tflops=34.129 gbps=294.406 ms=0.094
shape=1 solution_peak_fraction=0.1636
shape=2 variant=eager tflops=31.217 gbps=42.553 ms=0.826
shape=2 variant=compiled tflops=121.053 gbps=165.010 ms=0.213
shape=2 variant=sota tflops=133.230 gbps=181.608 ms=0.193
shape=2 variant=solution tflops=74.373 gbps=101.379 ms=0.346
shape=2 solution_peak_fraction=0.0563
shape=3

... (569 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: f3baeb
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:08:21 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   32C    P3             42W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: e2842c
Wall time: 1.0011 seconds
Process running with session ID 26771
Original token count: 0
Output:

Chunk ID: bccfd7
Wall time: 1.9940 seconds
Process exited with code 0
Original token count: 491
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.065 ms=0.763
shape=0 variant=compiled tflops=0.671 gbps=178.419 ms=0.150
shape=0 variant=sota tflops=2.315 gbps=615.606 ms=0.043
shape=0 variant=solution tflops=1.812 gbps=481.778 ms=0.056
shape=0 solution_peak_fraction=0.2677
shape=1 variant=eager tflops=4.168 gbps=35.954 ms=0.773
shape=1 variant=compiled tflops=20.577 gbps=177.504 ms=0.157
shape=1 variant=sota tflops=23.358 gbps=201.497 ms=0.138
shape=1 variant=solution tflops=34.135 gbps=294.456 ms=0.094
shape=1 solution_peak_fraction=0.1636
shape=2 variant=eager tflops=31.208 gbps=42.540 ms=0.826
shape=2 variant=compiled tflops=120.862 gbps=164.750 ms=0.213
shape=2 variant=sota tflops=133.032 gbps=181.338 ms=0.194
shape=2 variant=solution tflops=67.884 gbps=92.534 ms=0.380
shape=2 solution_peak_fraction=0.0514
shape=3 

... (568 more chars)

output:
  Success. Updated the following files:
  M /home/infatoshi/cuda/KernelBench-Hard/problems/07_w4a16_gemm/solution.py
metadata:
  exit_code: 0
  duration_seconds: 0.0

Chunk ID: e5e31e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:08:46 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8             11W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 6f49fb
Wall time: 1.0010 seconds
Process running with session ID 73572
Original token count: 0
Output:

Chunk ID: a17f09
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
PASS

Chunk ID: 4ad9be
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 5
Output:
All checks passed!

Chunk ID: 294c2d
Wall time: 0.0080 seconds
Process exited with code 5
Original token count: 85
Output:
============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.3, pluggy-1.6.0
rootdir: /home/infatoshi/cuda/KernelBench-Hard
configfile: pyproject.toml
plugins: anyio-4.13.0
collected 0 items

============================ no tests ran in 0.00s =============================

Chunk ID: 91409b
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 7
Output:
../../tests/test_eval.py

Chunk ID: c71938
Wall time: 1.0011 seconds
Process running with session ID 94738
Original token count: 0
Output:

Chunk ID: e9dbe2
Wall time: 0.0000 seconds
Process exited with code 2
Original token count: 779
Output:
============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.3, pluggy-1.6.0
rootdir: /home/infatoshi/cuda/KernelBench-Hard
configfile: pyproject.toml
plugins: anyio-4.13.0
collected 11 items / 3 errors

==================================== ERRORS ====================================
_ ERROR collecting outputs/runs/20260427_131223_opencode_openrouter-pinned_minimax_minimax-m2.7_06_sonic_moe_swiglu/scratch/test_triton.py _
ImportError while importing test module '/home/infatoshi/cuda/KernelBench-Hard/outputs/runs/20260427_131223_opencode_openrouter-pinned_minimax_minimax-m2.7_06_sonic_moe_swiglu/scratch/test_triton.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
outputs/runs/20260427_131223_opencode_openrouter-pinned_minimax_minimax-m2.7_06_sonic_moe_swiglu/scratch/test_triton.py:5: in <module>
    import solution
E   ModuleNotFoundError: No module named 'solution'
_ ERROR collecting outputs/runs/20260427_184750_opencode_openrouter-pinned_qwen_qwen3.6-27b_03_paged_attention/scratch/test_triton.py _
outputs/runs/20260427_184750_open

... (1719 more chars)

Chunk ID: ff7c23
Wall time: 0.7315 seconds
Process exited with code 0
Original token count: 105
Output:
============================= test session starts ==============================
platform linux -- Python 3.11.15, pytest-9.0.3, pluggy-1.6.0
rootdir: /home/infatoshi/cuda/KernelBench-Hard
configfile: pyproject.toml
plugins: anyio-4.13.0
collected 10 items

tests/test_eval.py ..........                                            [100%]

============================== 10 passed in 0.52s ==============================

Chunk ID: a87765
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 515
Output:
Tue Apr 28 02:09:17 2026       
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 595.58.03              Driver Version: 595.58.03      CUDA Version: 13.2     |
+-----------------------------------------+------------------------+----------------------+
| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                         |                        |               MIG M. |
|=========================================+========================+======================|
|   0  NVIDIA RTX PRO 6000 Blac...    On  |   00000000:01:00.0  On |                  Off |
| 30%   31C    P8              9W /  600W |     471MiB /  97887MiB |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                           

... (661 more chars)

Chunk ID: 904f6c
Wall time: 1.0010 seconds
Process running with session ID 57532
Original token count: 0
Output:

Chunk ID: 16c57c
Wall time: 1.6495 seconds
Process exited with code 0
Original token count: 492
Output:
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
/home/infatoshi/cuda/KernelBench-Hard/.venv/lib/python3.11/site-packages/bitsandbytes/backends/cuda/ops.py:468: FutureWarning: _check_is_size will be removed in a future PyTorch release along with guard_size_oblivious.     Use _check(i >= 0) instead.
  torch._check_is_size(blocksize)
shape=0 variant=eager tflops=0.132 gbps=35.067 ms=0.763
shape=0 variant=compiled tflops=0.671 gbps=178.572 ms=0.150
shape=0 variant=sota tflops=2.300 gbps=611.556 ms=0.044
shape=0 variant=solution tflops=1.817 gbps=483.169 ms=0.055
shape=0 solution_peak_fraction=0.2684
shape=1 variant=eager tflops=4.165 gbps=35.928 ms=0.773
shape=1 variant=compiled tflops=20.586 gbps=177.577 ms=0.156
shape=1 variant=sota tflops=23.350 gbps=201.427 ms=0.138
shape=1 variant=solution tflops=34.054 gbps=293.759 ms=0.095
shape=1 solution_peak_fraction=0.1632
shape=2 variant=eager tflops=31.213 gbps=42.548 ms=0.826
shape=2 variant=compiled tflops=121.254 gbps=165.283 ms=0.213
shape=2 variant=sota tflops=133.119 gbps=181.458 ms=0.194
shape=2 variant=solution tflops=83.223 gbps=113.443 ms=0.310
shape=2 solution_peak_fraction=0.0630
shape=3

... (569 more chars)

Chunk ID: 940785
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:

Chunk ID: f45bb3
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:

Chunk ID: 73dd89
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 1625
Output:
from __future__ import annotations

import torch
import torch.nn as nn
import triton
import triton.language as tl


GROUP_SIZE = 128


@triton.jit
def _w4a16_matmul_kernel(
    x_ptr,
    wq_ptr,
    scales_ptr,
    zeros_ptr,
    out_ptr,
    M: tl.constexpr,
    N: tl.constexpr,
    K: tl.constexpr,
    BLOCK_M: tl.constexpr,
    BLOCK_N: tl.constexpr,
    PACKED_BLOCK: tl.constexpr,
):
    pid_m = tl.program_id(0)
    pid_n = tl.program_id(1)

    offs_m = pid_m * BLOCK_M + tl.arange(0, BLOCK_M)
    offs_n = pid_n * BLOCK_N + tl.arange(0, BLOCK_N)
    offs_p = tl.arange(0, PACKED_BLOCK)

    acc = tl.zeros((BLOCK_M, BLOCK_N), tl.float32)

    for g in range(0, K // 128):
        packed_k = g * 64 + offs_p
        k_even = g * 128 + offs_p * 2
        k_odd = k_even + 1

        x_even = tl.load(
            x_ptr + offs_m[:, None] * K + k_even[None, :],
            mask=offs_m[:, None] < M,
            other=0.0,
        )
        x_odd = tl.load(
            x_ptr + offs_m[:, None] * K + k_odd[None, :],
            mask=offs_m[:, None] < M,
            other=0.0,
        )

        packed = tl.load(
            wq_ptr + packed_k[:, None] * N + offs_n[None, :],
            mask=offs_n[None, :] < N,
            other=0,
        ).to(tl.uint32)
        scale = tl.load(
            scales_ptr + g * N + offs_n,
            mask=offs_n < N,
            other=0.0,
        ).t

... (5105 more chars)

Chunk ID: 07369d
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 2
Output:
triton

Chunk ID: 60d5e0
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 0
Output:

Chunk ID: f43dc4
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 32
Output:
-rw-rw-r-- 1 infatoshi infatoshi    7 Apr 28 02:08 framework.txt
-rw-rw-r-- 1 infatoshi infatoshi 6500 Apr 28 02:08 solution.py

Chunk ID: 2f684e
Wall time: 0.0000 seconds
Process exited with code 0
Original token count: 5
Output:
All checks passed!