L2 P19 · popcorn

error 19_DepthwiseSeparableConv1D_GELU_ResAdd.py

model

gpt-5.5-priority

turns / max

2 / 10

tool calls

tokens (total)

wall clock

—

truncated

backend

cuda fp32

variant

popcorn

runtime

—

ref runtime

0.00 μs

speedup

—

started

2026-05-02T21:53:41Z

reference PyTorch source (the prompt the agent sees)

import torch
import torch.nn as nn

class Model(nn.Module):
    """
    1D depthwise separable convolution block: pointwise Conv1d (channel mixing), depthwise Conv1d (spatial),
    GELU activation, and residual addition. Used in genomic foundation models (Enformer) for efficient
    sequence processing of DNA/RNA.
    """
    def __init__(self, channels, expanded_channels, kernel_size):
        super(Model, self).__init__()
        self.pointwise = nn.Conv1d(channels, expanded_channels, 1)
        self.depthwise = nn.Conv1d(expanded_channels, expanded_channels, kernel_size,
                                   padding=kernel_size // 2, groups=expanded_channels)
        self.activation = nn.GELU()
        self.project_back = nn.Conv1d(expanded_channels, channels, 1)

    def forward(self, x):
        residual = x
        x = self.pointwise(x)
        x = self.depthwise(x)
        x = self.activation(x)
        x = self.project_back(x)
        x = x + residual
        return x

batch_size = 32
channels = 256
expanded_channels = 512
seq_len = 4096
kernel_size = 9

def get_inputs():
    return [torch.randn(popcorn_pri.jitter_int(batch_size), channels, popcorn_pri.jitter_int(seq_len))]

def get_init_inputs():
    return [channels, expanded_channels, kernel_size]

turn 09.6s turn · 9.6s LLM · 0.0s tools

call → get_gpu_specs

callget_gpu_specs {}

result ← get_gpu_specs (fail)

failget_gpu_specs get_gpu_specs FAILED: unexpected error during tool execution. _WorkItemTimeout: work item exceeded soft timeout budget Traceback (most recent call last): File "/scratch/tejas/PopcornBench/src/kernelbench/agent/agent.py", line 627, in _execute_tool return tool.execute(self.ctx, **args) File "/scratch/tejas/PopcornBench/src/kernelbench/agent/tools.py", line 656, in execute return ctx.eval_client.get_gpu_specs(ctx) File "/scratch/tejas/PopcornBench/src/kernelbench/agent/eval_client.py", line 62, in get_gpu_specs return self._call("specs", args) File "/scratch/tejas/PopcornBench/src/kernelbench/agent/eval_client.py", line 117, in _call payload = self._response_q.get(timeout=remaining) File "<string>", line 2, in get File "/home/prabhune/.local/share/uv/python/cpython-3.10-linux-x86_64-gnu/lib/python3.10/multiprocessing/managers.py", line 818, in _callmethod kind, result = conn.recv() File "/home/prabhune/.local/share/uv/python/cpython-3.10-linux-x86_64-gnu/lib/python3.10/multiprocessing/connection.py", line 250, in recv buf = self._recv_bytes() File "/home/prabhune/.local/share/uv/python/cpython-3.10-linux-x86_64-gnu/lib/python3.10/multiprocessing/connection.py", line 414, in _recv_bytes buf = self._recv(4) File "/home/prabhune/.local/share/uv/python/cpython-3.10-linux-x86_64-gnu/lib/python3.10/multiprocessing/connection.py", line 379, in _recv chunk = read(handle, remaining) File "/scratch/tejas/PopcornBench/scripts/run_sweep.py", line 161, in _alarm_handler raise _WorkItemTimeout("work item exceeded soft timeout budget") __mp_main__._WorkItemTimeout: work item exceeded soft timeout budget

turn 19.6s turn · 9.6s LLM · 0.0s tools

feedbackLLM call failed: Empty: