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[FRONTEND] Semantic analysis refactor (#473)

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Moved dispatch.cc to semantic.py
Integer signedness now moved from C++ to python
Cleaner frontend type

Co-authored-by: Phil Tillet <phil@openai.com>
This commit is contained in:
daadaada
2022-03-17 12:25:30 +08:00
committed by GitHub
parent 0dd2ec2e3a
commit 539961072c
19 changed files with 2044 additions and 1670 deletions
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23
python/test/unit/language/test_core.py
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@@ -1,5 +1,4 @@
# flake8: noqa: F821,F841
import copy
import itertools
import re
from typing import Optional, Union
@@ -585,7 +584,6 @@ def test_f8_f16_roundtrip():
f8_output_tensor = torch.empty_like(f16, dtype=torch.int8)
f8_output = triton.reinterpret(f8_output_tensor, tl.float8)
print(f16.dtype, f8_output.dtype)
copy_kernel[grid](f16, f8_output, n_elements, BLOCK_SIZE=1024)
assert torch.all(f8_tensor == f8_output_tensor)
@@ -993,27 +991,6 @@ def test_noop(device='cuda'):
kernel[(1, )](x)
@pytest.mark.parametrize("value, value_type", [
(-1, 'i32'), (0, 'i32'), (1, None), (-2**31, 'i32'), (2**31 - 1, 'i32'),
(2**31, 'u32'), (2**32 - 1, 'u32'), (2**32, 'i64'), (2**63 - 1, 'i64'),
(-2**63, 'i64'), (2**63, 'u64'), (2**64 - 1, 'u64')
])
def test_value_specialization(value: int, value_type: str, device='cuda') -> None:
@triton.jit
def kernel(VALUE, X):
pass
x = torch.tensor([3.14159], device='cuda')
pgm = kernel[(1, )](value, x)
# Parse out the type of the 'VALUE' parameter from the Triton IR.
triton_ir = pgm.asm['ttir']
ir_value_match = re.match(r'\s*def void kernel\((\w+) VALUE ', triton_ir)
ir_value_type = None if ir_value_match is None else ir_value_match.group(1)
assert ir_value_type == value_type
@pytest.mark.parametrize(
"value, overflow",
[(2**64 - 1, False), (2**64, True), (-2**63, False), (-2**63 - 1, True)]