LeiWang1999 commented on code in PR #15106:
URL: https://github.com/apache/tvm/pull/15106#discussion_r1232993648
##########
python/tvm/testing/tir.py:
##########
@@ -128,3 +128,114 @@ def tile_wmma_fragment(block_read, height, width):
sch.tensorize(sch.get_loops(C_warp)[-2], mma_store_intrin)
return sch
+
+
+def mfma_schedule(
+ workload,
+ k_inner,
+ in_dtype,
+ b_transposed,
+ i_factors,
+ j_factors,
+ k_factors,
+ index_map_A,
+ index_map_B,
+ index_map_C,
+ ldmatrix_a_intrin,
+ ldmatrix_b_intrin,
+ mfma_intrin,
+ mfma_fill_intrin,
+ mfma_store_intrin,
+ shared_scope="shared",
+):
+ import tvm
+ ir_module = tvm.IRModule({"main": workload})
+ sch = tvm.tir.Schedule(ir_module)
+
+ wmma_m = 16
+ wmma_n = 16
+ wmma_k = k_inner
+ warp_size = 64
+ block = sch.get_block("C")
+ i, j, k = sch.get_loops(block)
+ i, i_tc = sch.split(i, factors=[None, wmma_m])
+ j, j_tc = sch.split(j, factors=[None, wmma_n])
+ k, k_tc = sch.split(k, factors=[None, k_inner])
+
+ sch.reorder(i, j, k, i_tc, j_tc, k_tc)
+
+ block_inner = sch.blockize(i_tc)
+ block_outer, block_inner = block_inner, block
+
+ num_ty = i_factors[2] * j_factors[2]
+
+ i0, i1, i2, i3, i4 = sch.split(i, factors=i_factors)
+ j0, j1, j2, j3, j4 = sch.split(j, factors=j_factors)
+ k0, k1, k2 = sch.split(k, k_factors)
+
+ sch.reorder(i0, j0, i1, j1, j2, i2, k0, k1, i3, j3, k2, i4, j4)
+
+ block_idx = sch.fuse(i0, j0)
+ block_idy = sch.fuse(i1, j1)
+ thread_idy = sch.fuse(j2, i2)
+ sch.bind(block_idx, "blockIdx.x")
+ sch.bind(block_idy, "blockIdx.y")
+ sch.bind(thread_idy, "threadIdx.y")
+
+ def fetch_to_shared(block, idx, ndim):
+ block_read = sch.cache_read(block, idx, shared_scope)
+ sch.compute_at(block_read, k0)
+ vector_size = 16 if in_dtype == "int8" else 8
+ fused = sch.fuse(*sch.get_loops(block_read)[-ndim:])
+ _, f_1, f_2, f_3 = sch.split(
+ fused, factors=[None, num_ty, warp_size, vector_size])
+ sch.bind(f_2, "threadIdx.x")
+ sch.bind(f_1, "threadIdx.y")
+ sch.vectorize(f_3)
+ return block_read
+
+ fetch_to_shared(block_outer, 0, 2)
+ fetch_to_shared(block_outer, 1, 2)
+
+ A_warp = sch.cache_read(block_outer, 0, "local")
+ B_warp = sch.cache_read(block_outer, 1, "local")
+
+ sch.compute_at(A_warp, k1)
+ sch.compute_at(B_warp, k1)
+ C_warp = sch.cache_write(block_outer, 0, "local")
+ sch.reverse_compute_at(C_warp, thread_idy)
+
+ ii, jj = sch.get_loops(C_warp)[-2:]
+ io, ii = sch.split(ii, factors=[None, 16])
+ jo, ji = sch.split(jj, factors=[None, 16])
+ sch.reorder(io, jo, ii, ji)
+
+ sch.decompose_reduction(block_outer, sch.get_loops(block_outer)[3])
+ block_init_c = sch.get_block("C_init")
+
+ def tile_wmma_fragment(block_read, height, width):
+ i, j = sch.get_loops(block_read)[-2:]
+ i0, i1 = sch.split(i, factors=[None, height])
+ j0, j1 = sch.split(j, factors=[None, width])
+ sch.reorder(i0, j0, i1, j1)
+ return i1
+
+ loop_a = tile_wmma_fragment(A_warp, 16, k_inner)
+
+ if b_transposed:
+ loop_b = tile_wmma_fragment(B_warp, 16, k_inner)
+ else:
+ loop_b = tile_wmma_fragment(B_warp, k_inner, 16)
+
+ sch.transform_layout(A_warp, ("write", 0), index_map_A)
+ sch.transform_layout(B_warp, ("write", 0), index_map_B)
+ sch.transform_layout(C_warp, ("read", 0), index_map_C)
+ print(sch.mod["main"].script())
Review Comment:
absolutely not, thanks for pointing it out!
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