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Add non-contiguous test. #618

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Merged
zrr1999 merged 2 commits into from
Mar 5, 2026
Merged

Add non-contiguous test. #618

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9b0c5ba
Add non-contiguous test.
baoqiwen Mar 5, 2026
fa3d697
Merge branch 'main' into bqw_non_contiguous_test
baoqiwen Mar 5, 2026
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17 changes: 17 additions & 0 deletions tester/api_config/config_analyzer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,13 +4,15 @@
import copy
import math
import os
import random
import re

import numpy
import paddle
import torch

USE_CACHED_NUMPY = os.getenv("USE_CACHED_NUMPY", "False").lower() == "true"
TEST_NON_CONTIGUOUS = os.getenv("TEST_NON_CONTIGUOUS", "0").lower() in ("true", "1")
cached_numpy = {}

not_zero_apis = frozenset(
Expand Down Expand Up @@ -84,6 +86,7 @@ def __init__(self, shape, dtype, place=None):
self.numpy_tensor = None
self.paddle_tensor = None
self.torch_tensor = None
self.shuffle_dims = None

def __deepcopy__(self, memo):
cls = self.__class__
Expand Down Expand Up @@ -2642,6 +2645,13 @@ def get_paddle_tensor(self, api_config):
self.paddle_tensor.stop_gradient = False
if self.dtype == "bfloat16":
self.paddle_tensor = paddle.cast(self.paddle_tensor, dtype="bfloat16")
if TEST_NON_CONTIGUOUS:
if not self.shuffle_dims:
ndim = self.paddle_tensor.dim()
self.shuffle_dims = list(range(ndim))
random.shuffle(self.shuffle_dims)
print("paddle shuffle:", self.shuffle_dims)
return paddle.transpose(self.paddle_tensor, self.shuffle_dims)
return self.paddle_tensor

def get_torch_tensor(self, api_config):
Expand Down Expand Up @@ -2669,6 +2679,13 @@ def get_torch_tensor(self, api_config):
)
if self.dtype == "bfloat16":
self.torch_tensor = self.torch_tensor.to(dtype=torch.bfloat16)
if TEST_NON_CONTIGUOUS:
if not self.shuffle_dims:
ndim = self.torch_tensor.dim()
self.shuffle_dims = list(range(ndim))
random.shuffle(self.shuffle_dims)
print("torch shuffle:", self.shuffle_dims)
return torch.permute(self.torch_tensor, self.shuffle_dims)
return self.torch_tensor

def clear_tensor(self):
Expand Down