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Fix failing tests on main #231

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Merged
merged 1 commit into from
Jun 30, 2025
Merged

Fix failing tests on main #231

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2 changes: 1 addition & 1 deletion .pyre_configuration
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@
"source": "examples"
}
],
"optional_search_path": ["../pytorch", "../pytorch-hg", "../pytorch-nightly"],
"optional_search_path": ["../pytorch", "../pytorch-hg", "../pytorch-nightly", "../triton/python"],
"python_version": "3.10",
"exclude": [".*third_party.*"],
"strict": true
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10 changes: 5 additions & 5 deletions test/test_examples.py
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Expand Up @@ -358,7 +358,6 @@ def test_bmm(self):
args,
torch.bmm(args[0], args[1]),
block_sizes=[16, 16, 16, 16],
l2_grouping=4,
),
"""\
from __future__ import annotations
Expand All @@ -375,18 +374,19 @@ def _bmm_kernel(A, B, out, _BLOCK_SIZE_0: tl.constexpr, _BLOCK_SIZE_1: tl.conste
pid_1 = tl.program_id(0) // num_blocks_0 % num_blocks_1
pid_2 = tl.program_id(0) // (num_blocks_0 * num_blocks_1)
offset_0 = pid_0 * _BLOCK_SIZE_0
indices_0 = offset_0 + tl.arange(0, _BLOCK_SIZE_0).to(tl.int32)
indices_0 = (offset_0 + tl.arange(0, _BLOCK_SIZE_0)).to(tl.int32)
offset_1 = pid_1 * _BLOCK_SIZE_1
indices_1 = offset_1 + tl.arange(0, _BLOCK_SIZE_1).to(tl.int32)
indices_1 = (offset_1 + tl.arange(0, _BLOCK_SIZE_1)).to(tl.int32)
offset_2 = pid_2 * _BLOCK_SIZE_2
indices_2 = offset_2 + tl.arange(0, _BLOCK_SIZE_2).to(tl.int32)
indices_2 = (offset_2 + tl.arange(0, _BLOCK_SIZE_2)).to(tl.int32)
acc = tl.full([_BLOCK_SIZE_0, _BLOCK_SIZE_1, _BLOCK_SIZE_2], 0.0, tl.float32)
for offset_3 in range(0, 768, _BLOCK_SIZE_3):
indices_3 = offset_3 + tl.arange(0, _BLOCK_SIZE_3).to(tl.int32)
acc_copy = acc
acc_copy_0 = acc_copy
load = tl.load(A + (indices_0[:, None, None] * 393216 + indices_1[None, :, None] * 768 + indices_3[None, None, :] * 1), None)
load_1 = tl.load(B + (indices_0[:, None, None] * 786432 + indices_3[None, :, None] * 1024 + indices_2[None, None, :] * 1), None)
acc = tl.dot(load, load_1, acc=acc_copy, input_precision='tf32')
acc = tl.dot(load, load_1, acc=acc_copy_0, input_precision='tf32')
v_0 = acc.to(tl.float16)
tl.store(out + (indices_0[:, None, None] * 524288 + indices_1[None, :, None] * 1024 + indices_2[None, None, :] * 1), v_0, None)

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