pyproject.toml

[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "dsv4-inference"
version = "0.1.0"
description = "NVFP4 Mega MoE kernel for DeepSeek-V4-Pro on Blackwell (TileLang)"
requires-python = ">=3.10"
dependencies = [
    "torch>=2.5",
]

[tool.setuptools.packages.find]
where = ["."]
include = ["dsv4*"]
Initial: TileLang NVFP4 mega_moe kernel package - nvfp4_mega_moe_full: drop-in replacement for deep_gemm.mega.fp8_nvfp4_mega_moe - transform_nvfp4_weights_for_mega_moe: weight transformation (tested) - SymmBuffer + get_symm_buffer_for_nvfp4_mega_moe: API-matching stubs - MEGA_MOE_STATIC=1 support for pipeline testing - pyproject.toml for pip install 2026-05-13 15:44:51 +00:00			`[build-system]`
			`requires = ["setuptools>=68.0", "wheel"]`
			`build-backend = "setuptools.build_meta"`

			`[project]`
Restructure: cutedsl/ -> dsv4/ with proper layering - Split bridge.py -> ops/quantize.py, ops/layouts.py, ops/gemm_runner.py - Renamed classes: CuTeDSLNvfp4Linear -> Nvfp4Linear, etc. - Moved kernel code to dsv4/kernels/ (gemm, attention, compressor, decode, cuda) - Moved PyTorch bridges to dsv4/ops/ - Moved nn.Module layers to dsv4layers/ - Moved reference implementations to dsv4/reference/ - Moved vendored CUTLASS code to vendored/ - Archived ~190 debug tests to tests/archive/ - Kept ~15 canonical tests in tests/unit/ - Updated all import paths - Added stubs for future components (model/, cache/, loader/) - Updated pyproject.toml: dsv4-inference package name 2026-05-21 17:30:44 +00:00			`name = "dsv4-inference"`
Initial: TileLang NVFP4 mega_moe kernel package - nvfp4_mega_moe_full: drop-in replacement for deep_gemm.mega.fp8_nvfp4_mega_moe - transform_nvfp4_weights_for_mega_moe: weight transformation (tested) - SymmBuffer + get_symm_buffer_for_nvfp4_mega_moe: API-matching stubs - MEGA_MOE_STATIC=1 support for pipeline testing - pyproject.toml for pip install 2026-05-13 15:44:51 +00:00			`version = "0.1.0"`
			`description = "NVFP4 Mega MoE kernel for DeepSeek-V4-Pro on Blackwell (TileLang)"`
			`requires-python = ">=3.10"`
			`dependencies = [`
			`"torch>=2.5",`
			`]`

			`[tool.setuptools.packages.find]`
fix: dynamic buffer sizing in nvfp4_linear for varying token counts 2026-05-19 23:59:55 +00:00			`where = ["."]`
Restructure: cutedsl/ -> dsv4/ with proper layering - Split bridge.py -> ops/quantize.py, ops/layouts.py, ops/gemm_runner.py - Renamed classes: CuTeDSLNvfp4Linear -> Nvfp4Linear, etc. - Moved kernel code to dsv4/kernels/ (gemm, attention, compressor, decode, cuda) - Moved PyTorch bridges to dsv4/ops/ - Moved nn.Module layers to dsv4layers/ - Moved reference implementations to dsv4/reference/ - Moved vendored CUTLASS code to vendored/ - Archived ~190 debug tests to tests/archive/ - Kept ~15 canonical tests in tests/unit/ - Updated all import paths - Added stubs for future components (model/, cache/, loader/) - Updated pyproject.toml: dsv4-inference package name 2026-05-21 17:30:44 +00:00			`include = ["dsv4*"]`