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Add GTX 1060 (Pascal sm_61) support #321

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Add GTX 1060 (Pascal sm_61) support #321

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2b26591
Add GTX 1060 (Pascal sm_61) support
raj1003 Mar 18, 2026
8f57fa5
Auto-detect GPU hardware and configure optimally
raj1003 Mar 19, 2026
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4 changes: 2 additions & 2 deletions prepare.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,9 +27,9 @@
# Constants (fixed, do not modify)
# ---------------------------------------------------------------------------

MAX_SEQ_LEN = 2048 # context length
MAX_SEQ_LEN = int(os.environ.get("AUTORESEARCH_SEQ_LEN", 2048)) # context length (auto-set by train.py)
TIME_BUDGET = 300 # training time budget in seconds (5 minutes)
EVAL_TOKENS = 40 * 524288 # number of tokens for val eval
EVAL_TOKENS = int(os.environ.get("AUTORESEARCH_EVAL_TOKENS", str(40 * 524288))) # tokens for val eval (auto-set by train.py)

# ---------------------------------------------------------------------------
# Configuration
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13 changes: 8 additions & 5 deletions pyproject.toml
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Expand Up @@ -5,23 +5,26 @@ description = "Autonomous pretraining research swarm"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"kernels>=0.11.7",
"matplotlib>=3.10.8",
"numpy>=2.2.6",
"pandas>=2.3.3",
"pyarrow>=21.0.0",
"requests>=2.32.0",
"rustbpe>=0.1.0",
"tiktoken>=0.11.0",
"torch==2.9.1",
"torch==2.5.1",
]

[project.optional-dependencies]
# FA3 requires sm_80+ (Ampere/Hopper); install with: uv sync --extra fa3
fa3 = ["kernels>=0.11.7"]

[tool.uv.sources]
torch = [
{ index = "pytorch-cu128" },
{ index = "pytorch-cu121" },
]

[[tool.uv.index]]
name = "pytorch-cu128"
url = "https://download.pytorch.org/whl/cu128"
name = "pytorch-cu121"
url = "https://download.pytorch.org/whl/cu121"
explicit = true
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