cutlass/python/cutlass_library/sm90_shapes.py
Yujia Zhai cc3c29a81a
CUTLASS 3.6.0 (#1850)
* v3.6

* update changelog

* update readme

* fix typo

* fixing typos

* hopper gemm with weight prefetch

---------

Co-authored-by: yuzhai <yuzhai@nvidia.com>
Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
2024-10-09 15:33:27 -04:00

213 lines
6.2 KiB
Python

#################################################################################################
#
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"""
Valid WGMMA shapes, MMA multipliers, and cluster sizes for SM90, associated with levels.
These shape and level pairs are defined as dicts, where keys are shapes and values are their
associated levels. If the user input level for that category (MMA multiplier, WGMMA shape, cluster
size) is smaller than a shape's associated level, it will be excluded, and otherwise, included.
Higher levels are therefore less likely emitted, but lower levels are more emitted more frequently.
Level 0 is always emitted. The default behavior in `generator.py` is that level 1 is only emitted
when the `--kernel` argument is non-empty.
"""
# NOTE: more combinations are possible here.
# Levels [0, 3] exist in order to control exactly what configs are generated in different dtypes.
# The rest are only used in the exhaustive mode (when the corresponding level digit is 9).
# MMA multipliers are multiplied by MMA instruction shapes (WGMMA shapes) to get CTA shapes.
SM90_MMA_MULTIPLIERS = {
(2, 1, 4): 0,
(1, 1, 4): 1,
(4, 1, 4): 2,
(2, 2, 4): 3,
(2, 1, 8): 4,
(4, 1, 8): 4,
(1, 1, 8): 4,
(2, 2, 8): 4,
(2, 1, 16): 5,
(4, 1, 16): 5,
(1, 1, 16): 5,
(2, 2, 16): 5,
}
# Level 0: only (1, 2, 1) -- fp8 dense gemms in pruned case
# Level 1: clusters with 2 CTAs -- all but fp8 (s8, u8, f16, b16, f32, tf32) dense gemms in pruned case
# Level 2: clusters with 1 or 2 CTAs
# Level 3: clusters with 1, 2, or 4 CTAs
# Level 4: clusters with 1, 2, 4, or 8 CTAs
# Level 5: clusters with 1, 2, 4, 8, or 16 CTAs
SM90_CLUSTER_SIZES = {
(1, 2, 1): 0,
(2, 1, 1): 1,
(1, 1, 1): 2,
(2, 2, 1): 3,
(1, 4, 1): 3,
(4, 1, 1): 3,
(2, 4, 1): 4,
(4, 2, 1): 4,
(1, 8, 1): 4,
(8, 1, 1): 4,
(4, 4, 1): 5,
}
# WGMMA shapes
# Level 0: "default" shape only,
# Level 1: additional shapes for the unpruned case (tf32 only)
# Level 2: shapes that are all powers of 2
# Level 3: all other shapes
SM90_WGMMA_SHAPES_FP16_BF16_DENSE = {
(64, 8, 16): 2,
(64, 16, 16): 2,
(64, 24, 16): 3,
(64, 32, 16): 2,
(64, 40, 16): 3,
(64, 48, 16): 3,
(64, 56, 16): 3,
(64, 64, 16): 2,
(64, 72, 16): 3,
(64, 80, 16): 3,
(64, 88, 16): 3,
(64, 96, 16): 3,
(64, 104, 16): 3,
(64, 112, 16): 3,
(64, 120, 16): 3,
(64, 128, 16): 0,
(64, 136, 16): 3,
(64, 144, 16): 3,
(64, 152, 16): 3,
(64, 160, 16): 3,
(64, 168, 16): 3,
(64, 176, 16): 3,
(64, 184, 16): 3,
(64, 192, 16): 3,
(64, 200, 16): 3,
(64, 208, 16): 3,
(64, 216, 16): 3,
(64, 224, 16): 3,
(64, 232, 16): 3,
(64, 240, 16): 3,
(64, 248, 16): 3,
(64, 256, 16): 1,
}
SM90_WGMMA_SHAPES_TF32_DENSE = {
(64, 8, 8): 2,
(64, 16, 8): 2,
(64, 24, 8): 3,
(64, 32, 8): 2,
(64, 40, 8): 3,
(64, 48, 8): 3,
(64, 56, 8): 3,
(64, 64, 8): 2,
(64, 72, 8): 3,
(64, 80, 8): 3,
(64, 88, 8): 3,
(64, 96, 8): 3,
(64, 104, 8): 3,
(64, 112, 8): 3,
(64, 120, 8): 3,
(64, 128, 8): 0,
(64, 136, 8): 3,
(64, 144, 8): 3,
(64, 152, 8): 3,
(64, 160, 8): 3,
(64, 168, 8): 3,
(64, 176, 8): 3,
(64, 184, 8): 3,
(64, 192, 8): 3,
(64, 200, 8): 3,
(64, 208, 8): 3,
(64, 216, 8): 3,
(64, 224, 8): 3,
(64, 232, 8): 3,
(64, 240, 8): 3,
(64, 248, 8): 3,
(64, 256, 8): 1,
}
SM90_WGMMA_SHAPES_FP8_DENSE = {
(64, 8, 32): 2,
(64, 16, 32): 2,
(64, 24, 32): 3,
(64, 32, 32): 2,
(64, 40, 32): 3,
(64, 48, 32): 3,
(64, 56, 32): 3,
(64, 64, 32): 2,
(64, 72, 32): 3,
(64, 80, 32): 3,
(64, 88, 32): 3,
(64, 96, 32): 3,
(64, 104, 32): 3,
(64, 112, 32): 3,
(64, 120, 32): 3,
(64, 128, 32): 0,
(64, 136, 32): 3,
(64, 144, 32): 3,
(64, 152, 32): 3,
(64, 160, 32): 3,
(64, 168, 32): 3,
(64, 176, 32): 3,
(64, 184, 32): 3,
(64, 192, 32): 3,
(64, 200, 32): 3,
(64, 208, 32): 3,
(64, 216, 32): 3,
(64, 224, 32): 3,
(64, 232, 32): 3,
(64, 240, 32): 3,
(64, 248, 32): 3,
(64, 256, 32): 1,
}
SM90_WGMMA_SHAPES_INT8_DENSE = {
(64, 8, 32): 2,
(64, 16, 32): 2,
(64, 24, 32): 3,
(64, 32, 32): 2,
(64, 48, 32): 3,
(64, 64, 32): 2,
(64, 80, 32): 3,
(64, 96, 32): 3,
(64, 112, 32): 3,
(64, 128, 32): 0,
(64, 144, 32): 3,
(64, 160, 32): 3,
(64, 176, 32): 3,
(64, 192, 32): 3,
(64, 208, 32): 3,
(64, 224, 32): 3,
(64, 240, 32): 3,
(64, 256, 32): 1,
}