Fix SMEM-P copy: use tcgen05.copy.St32x32bOp with Float32 and copy from rP_words (Float32) not rP_bf16

This commit is contained in:
2026-05-23 19:11:08 +00:00
parent 01fd6d03db
commit 77e01acd13

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@@ -261,9 +261,11 @@ class FmhaKernel:
# Uses make_tiled_copy_C to partition threads by QK MMA's C-fragment layout.
# Softmax warps have P values in QK C-fragment layout (same as rP_bf16).
# This copy writes those values to sP which has PV A-operand SMEM layout.
# According to STAGE_D.md: use tcgen05.copy.St32x32bOp with Float32 (not BF16)
# and use make_tiled_copy_C(store_atom, qk_mma) to partition by QK C-fragment
smem_copy_atom = cute.make_copy_atom(
cute.nvgpu.CopyUniversalOp(),
self.q_dtype,
tcgen05.copy.St32x32bOp(tcgen05.copy.Repetition(32)),
Float32,
num_bits_per_copy=128,
)
tiled_smem_copy = cute.make_tiled_copy_C(smem_copy_atom, qk_mma)
@@ -344,16 +346,16 @@ class FmhaKernel:
else:
# SMEM-P: Use QK C-fragment layout for source (not TMEM layout)
# rP_bf16 uses tTMEM_LOADrS.layout (TMEM layout) causing rank mismatch
# Create view with QK C-fragment layout (tStS0.layout)
# Create view with QK C-fragment layout (tStS0.layout) using Float32 source (rP_words)
rP_qk_layout = tStS0.layout # QK C-fragment layout for this thread
rP_qk = cute.make_tensor(cute.recast_ptr(rP_bf16.iterator, dtype=self.q_dtype), rP_qk_layout)
rP_qk = cute.make_tensor(cute.recast_ptr(rP_words.iterator, dtype=Float32), rP_qk_layout)
# Partition source with QK layout
tSMEM_CPYrP_qk = thr_smem_copy.partition_S(rP_qk)
# Debug shapes
print(f"[SMEM-P PROPER] rP_bf16 shape: {cute.shape(rP_bf16)}, layout: TMEM")
print(f"[SMEM-P PROPER] rP_qk shape: {cute.shape(rP_qk)}, layout: QK C-fragment")
print(f"[SMEM-P PROPER] rP_qk shape: {cute.shape(rP_qk)}, layout: QK C-fragment (Float32)")
print(f"[SMEM-P PROPER] tSMEM_CPYrP_qk shape: {cute.shape(tSMEM_CPYrP_qk)} rank: {len(cute.shape(tSMEM_CPYrP_qk))}")
print(f"[SMEM-P PROPER] tSMEM_CPYsP shape: {cute.shape(tSMEM_CPYsP)} rank: {len(cute.shape(tSMEM_CPYsP))}")