Files
tilelang/testing/python/tools/test_tilelang_tools_analyzer.py
T
Tong WUandLeiWang1999 228c7c0486 [Feature] Support iket profiler for CUDA backend (#2515)
* Add experimental IKET CUDA backend hooks

* Keep IKET APIs under namespace

* Use real Perfetto screenshot for IKET example

* Show IKET events in Perfetto timeline screenshot

* Add IKET validation overhead example

* Remove IKET validation overhead example

* Fix IKET lint issues

* Move IKET integration to CUDA tools

* Add tools documentation and fix workflow regressions

---------

Co-authored-by: LeiWang1999 <leiwang1999@outlook.com>
2026-07-12 20:03:30 +08:00

72 lines
2.0 KiB
Python

import tilelang
import tilelang.language as T
from tilelang.tools import Analyzer
class _Device:
compute_capability = "80"
bandwidth = [750, 12080]
@tilelang.jit
def _gemm(A, B):
M = N = K = 64
block_M = block_N = block_K = 32
A: T.Tensor((M, K), T.float16)
B: T.Tensor((N, K), T.float16)
C = T.empty((M, N), T.float16)
with T.Kernel(T.ceildiv(N, block_N), T.ceildiv(M, block_M), threads=128) as (bx, by):
A_shared = T.alloc_shared((block_M, block_K), T.float16)
B_shared = T.alloc_shared((block_N, block_K), T.float16)
C_local = T.alloc_fragment((block_M, block_N), T.float32)
T.clear(C_local)
for k in T.serial(T.ceildiv(K, block_K)):
T.copy(A[by * block_M, k * block_K], A_shared)
T.copy(B[bx * block_N, k * block_K], B_shared)
T.gemm(A_shared, B_shared, C_local, transpose_B=True)
T.copy(C_local, C[by * block_M, bx * block_N])
return C
@tilelang.jit
def _single_block_gemm(A, B):
M = N = K = 32
A: T.Tensor((M, K), T.float16)
B: T.Tensor((N, K), T.float16)
C = T.empty((M, N), T.float16)
with T.Kernel(1, threads=128):
A_shared = T.alloc_shared((M, K), T.float16)
B_shared = T.alloc_shared((N, K), T.float16)
C_local = T.alloc_fragment((M, N), T.float32)
T.copy(A, A_shared)
T.copy(B, B_shared)
T.clear(C_local)
T.gemm(A_shared, B_shared, C_local, transpose_B=True)
T.copy(C_local, C)
return C
def test_analyzer_recognizes_tileop_names():
result = Analyzer.analysis(_gemm.get_tir(), _Device())
assert result.total_flops == 2 * 64 * 64 * 64
assert result.total_global_bytes == 40_960
def test_analyzer_resets_grid_extents_for_each_prim_func():
analyzer = Analyzer(_single_block_gemm.get_tir(), _Device())
analyzer.block_counts["blockIdx.y"] = 7
result = analyzer.ir_pass().calculate()
assert result.total_flops == 2 * 32 * 32 * 32
assert result.total_global_bytes == 6_144