issue/666 - Standardized test imports

test/infinicore/framework/__init__.py

@@ -18,9 +18,10 @@ from .utils import (
     infinicore_tensor_from_torch,
     rearrange_tensor,
     convert_infinicore_to_torch,
-    is_integer_dtype,
+    is_broadcast,
     is_complex_dtype,
     is_floating_dtype,
+    is_integer_dtype,
 )
 
 __all__ = [
@@ -51,9 +52,10 @@ __all__ = [
     "to_torch_dtype",
     "torch_device_map",
     # Type checking utilities
-    "is_integer_dtype",
+    "is_broadcast",
     "is_complex_dtype",
     "is_floating_dtype",
+    "is_integer_dtype",
     # Benchmarking utilities
     "BenchmarkUtils",
     "BenchmarkResult",

test/infinicore/ops/abs.py

@@ -5,8 +5,7 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
+from framework import BaseOperatorTest, TensorSpec, TestCase, GenericTestRunner
 
 # Test cases format: (in_shape, in_strides_or_None)
 _TEST_CASES_DATA = [

test/infinicore/ops/acos.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # =======================================================================
 # Test cases format: (shape, input_strides_or_None)

test/infinicore/ops/acosh.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # =======================================================================
 # Test cases format: (shape, input_strides_or_None)

test/infinicore/ops/adaptive_avg_pool1d.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, output_size_or_None)
 

test/infinicore/ops/adaptive_avg_pool2d.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, output_size_or_None)
 # adaptive_avg_pool2d maps input HxW to target output size (h, w)

test/infinicore/ops/adaptive_avg_pool3d.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, output_size_or_None)
 # adaptive_avg_pool3d maps input D x H x W to target output size (d, h, w)

test/infinicore/ops/adaptive_max_pool1d.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, output_size_or_None)
 

test/infinicore/ops/adaptive_max_pool2d.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase, TestResult
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 from framework.devices import InfiniDeviceEnum
 
 # Test cases format: (in_shape, in_strides_or_None, output_size_or_None)

test/infinicore/ops/add.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # ==============================================================================
 # Operator-specific configuration

test/infinicore/ops/addbmm.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (input_shape, batch1_shape, batch2_shape, input_strides_or_None, batch1_strides_or_None, batch2_strides_or_None, beta_or_None, alpha_or_None)
 # addbmm(input, batch1, batch2, beta=1, alpha=1, out=None)

test/infinicore/ops/addcdiv.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, t1_shape_or_None, t2_shape_or_None, value)
 

test/infinicore/ops/addcmul.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, t1_shape_or_None, t2_shape_or_None, value)
 

test/infinicore/ops/addmv.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (input_shape, mat_shape, vec_shape, input_strides_or_None, mat_strides_or_None, vec_strides_or_None, beta_or_None, alpha_or_None)
 

test/infinicore/ops/addr.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (input_shape, vec1_shape, vec2_shape, input_strides_or_None, vec1_strides_or_None, vec2_strides_or_None, beta_or_None, alpha_or_None)
 

test/infinicore/ops/affine_grid.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (theta_shape, out_shape, theta_strides_or_None)
 

test/infinicore/ops/all.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, dim_or_None, keepdim_or_None, out_strides_or_None)
 

test/infinicore/ops/alpha_dropout.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (shape, p, training, in_strides_or_None)
 

test/infinicore/ops/amax.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, dim_or_None, keepdim_or_None, out_strides_or_None)
 

test/infinicore/ops/amin.py

@@ -5,9 +5,13 @@ sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
 
 import torch
 import infinicore
-from framework.base import BaseOperatorTest, TensorSpec, TestCase
-from framework.runner import GenericTestRunner
-from framework.utils import is_broadcast
+from framework import (
+    BaseOperatorTest,
+    TensorSpec,
+    TestCase,
+    GenericTestRunner,
+    is_broadcast,
+)
 
 # Test cases format: (in_shape, in_strides_or_None, dim_or_None, keepdim_or_None, out_strides_or_None)