issue/666 - Standardized test imports

test/infinicore/ops/hardsigmoid.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)
 

test/infinicore/ops/hardswish.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)
 

test/infinicore/ops/hardtanh.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, min_val_or_None, max_val_or_None)
 

test/infinicore/ops/heaviside.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, a_strides_or_None, b_strides_or_None, out_strides_or_None)

test/infinicore/ops/hinge_embedding_loss.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: (input_shape, target_shape, input_strides_or_None, target_strides_or_None, margin_or_None)
 # infinicore.nn.functional.hinge_embedding_loss(input, target, margin=1.0, reduction='mean')

test/infinicore/ops/histc.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: (input_shape, input_strides_or_None, bins, min_val, max_val)
 _TEST_CASES_DATA = [

test/infinicore/ops/histogram.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: (input_shape, input_strides_or_None, bins_or_sequence, range_or_None)
 _TEST_CASES_DATA = [

test/infinicore/ops/hsplit.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: (input_shape, input_strides_or_None, sections_or_None)
 # infinicore.hsplit(input, sections)

test/infinicore/ops/huber_loss.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: (input_shape, target_shape, input_strides_or_None, target_strides_or_None, delta_or_None)
 # infinicore.nn.functional.huber_loss(input, target, reduction='mean', delta=1.0)

test/infinicore/ops/hypot.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: (a_shape, a_strides_or_None, b_shape_or_None)
 # infinicore.hypot(a, b)

test/infinicore/ops/index_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,
+)
 
 # Test cases format: (target_shape, target_strides_or_None, dim, index_shape, src_shape)
 _TEST_CASES_DATA = [

test/infinicore/ops/index_copy.py

@@ -5,10 +5,14 @@ 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,
+    is_broadcast,
+)
 from framework.tensor import TensorInitializer
-from framework.utils import is_broadcast
 
 # Test cases format: (target_shape, target_strides_or_None, dim, index_shape, src_shape)
 _TEST_CASES_DATA = [

test/infinicore/ops/index_reduce.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: (target_shape, target_strides_or_None, dim, index_shape, reduce)
 _TEST_CASES_DATA = [

test/infinicore/ops/index_select.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: (input_shape, input_strides_or_None, dim, index_shape)
 _TEST_CASES_DATA = [

test/infinicore/ops/inner.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: (a_shape, b_shape, a_strides_or_None, b_strides_or_None)
 # infinicore.inner(a, b)

test/infinicore/ops/instance_norm.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: (input_shape, input_strides_or_None, running_mean_present_bool, running_var_present_bool, weight_bias_present_bool, use_input_stats_or_None, momentum_or_None, eps_or_None)
 # infinicore.nn.functional.instance_norm(input, running_mean=None, running_var=None, weight=None, bias=None, use_input_stats=False, momentum=0.1, eps=1e-5)

test/infinicore/ops/interpolate.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, size_or_scale_factor, mode, align_corners_or_None, input_strides_or_None)
 # infinicore.nn.functional.interpolate(input, size=None, scale_factor=None, mode='nearest', align_corners=None)

test/infinicore/ops/inverse.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: (matrix_shape, strides_or_None)
 # inverse(input) — only out-of-place (no out parameter)

test/infinicore/ops/isclose.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, a_strides_or_None, b_strides_or_None, extra_kwargs_or_None)
 # isclose compares two tensors with atol/rtol; we include kwargs combinations

test/infinicore/ops/isfinite.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)
 # isfinite checks each element for finiteness and returns boolean tensor