Merge pull request #663 from gongchensu/feature/moore_adapt

Issue/658 - Update test tolerances and remove device-specific dtype f…

test/infinicore/ops/matmul.py

@@ -33,7 +33,7 @@ _TEST_CASES_DATA = [
 # Tolerance configuration
 _TOLERANCE_MAP = {
     infinicore.float16: {"atol": 0, "rtol": 1e-2},
-    infinicore.float32: {"atol": 0, "rtol": 1e-3},
+    infinicore.float32: {"atol": 1e-4, "rtol": 1e-3},
     infinicore.bfloat16: {"atol": 0, "rtol": 5e-2},
 }
 

test/infiniop/libinfiniop/utils.py

@@ -463,11 +463,8 @@ def debug(actual, desired, atol=0, rtol=1e-2, equal_nan=False, verbose=True):
 
 
 def filter_tensor_dtypes_by_device(device, tensor_dtypes):
-    if device in (InfiniDeviceEnum.CPU, InfiniDeviceEnum.NVIDIA):
+    if device in (InfiniDeviceEnum.CPU, InfiniDeviceEnum.NVIDIA, InfiniDeviceEnum.METAX, InfiniDeviceEnum.ASCEND, InfiniDeviceEnum.ILUVATAR, InfiniDeviceEnum.CAMBRICON):
         return tensor_dtypes
-    elif device == InfiniDeviceEnum.MOORE:
-        # 过滤掉 BF16 和 F64（PyTorch 在摩尔平台上不支持这些类型的某些操作）
-        return [dt for dt in tensor_dtypes if dt != InfiniDtype.BF16 and dt != InfiniDtype.F64]
     else:
         # 过滤掉 torch.bfloat16
         return [dt for dt in tensor_dtypes if dt != torch.bfloat16]

test/infiniop/silu.py

@@ -57,7 +57,7 @@ _TEST_CASES = [
 ]
 
 # Data types used for testing
-_TENSOR_DTYPES = [InfiniDtype.BF16, InfiniDtype.F16, InfiniDtype.F32, InfiniDtype.F64]
+_TENSOR_DTYPES = [InfiniDtype.BF16, InfiniDtype.F16, InfiniDtype.F32]
 
 # Tolerance map for different data types
 _TOLERANCE_MAP = {