[mypy] Enable type checking for test directory (#5017)

This commit is contained in:
Cyrus Leung
2024-06-15 12:45:31 +08:00
committed by GitHub
parent 1b8a0d71cf
commit 0e9164b40a
92 changed files with 509 additions and 378 deletions

View File

@@ -86,9 +86,9 @@ def dequant_no_scale(
# Compare the optimized 1x16 and 2x8 cuda decompression/dequant kernels against
# the generic pytorch version.
# Just visual comparison.
def dequant_test(k: int, parts: torch.tensor, nbooks: int, bits: int) -> None:
def dequant_test(k: int, parts: torch.Tensor, nbooks: int, bits: int) -> None:
n = parts.sum().item()
n = int(parts.sum().item())
device = torch.device('cuda:0')
@@ -204,7 +204,7 @@ def main():
sys.stdout = sys.__stdout__
def run_grid(m: int, k: int, parts: torch.tensor, nbooks: int, bits: int,
def run_grid(m: int, k: int, parts: torch.Tensor, nbooks: int, bits: int,
methods):
# I didn't see visible improvements from increasing these, but feel free :)
@@ -252,10 +252,10 @@ def run_grid(m: int, k: int, parts: torch.tensor, nbooks: int, bits: int,
print('')
def run_timing(num_calls: int, m: int, k: int, parts: torch.tensor,
def run_timing(num_calls: int, m: int, k: int, parts: torch.Tensor,
nbooks: int, bits: int, method) -> float:
n = parts.sum().item()
n = int(parts.sum().item())
device = torch.device('cuda:0')