Merge pull request #667 from InfiniTensor/issue/666

issue/666 - Standardized test imports

test/infinicore/ops/cosine_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: (input1_shape, input2_shape, target_shape, input1_strides_or_None, input2_strides_or_None, target_strides_or_None, margin_or_None)
 # infinicore.nn.functional.cosine_embedding_loss(x1, x2, y, margin=0.0, reduction='mean')

test/infinicore/ops/cosine_similarity.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, dim, eps, a_strides_or_None, b_strides_or_None)
 # infinicore.nn.functional.cosine_similarity(x1, x2, dim=1, eps=1e-8)

test/infinicore/ops/count_nonzero.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)
 # count_nonzero counts number of non-zero elements along dims or overall

test/infinicore/ops/cov.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, correction, fweights, aweights)
 _TEST_CASES_DATA = [

test/infinicore/ops/cross.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, dim, a_strides_or_None, b_strides_or_None)
 # infinicore.cross(a, b, dim=-1)

test/infinicore/ops/cross_entropy.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
 from framework.tensor import TensorInitializer
 
 # Test cases format: (input_shape_logits_N_C, target_shape_N, input_strides_or_None, weight_present_bool, ignore_index_or_None)

test/infinicore/ops/cummax.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, dim, input_strides_or_None, out_strides_or_None)
 # cummax returns (values, indices). We will validate the values tensor using the

test/infinicore/ops/cummin.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, dim, input_strides_or_None, out_strides_or_None)
 # cummin returns (values, indices). We validate values similar to cummax.

test/infinicore/ops/cumprod.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, dim, input_strides_or_None, out_strides_or_None)
 # cumprod computes cumulative product along dim. PyTorch does not support explicit

test/infinicore/ops/cumsum.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, dim, input_strides_or_None, out_strides_or_None)
 # cumsum supports out= in PyTorch? PyTorch provides infinicore.cumsum(input, dim, *, out=None)

test/infinicore/ops/deg2rad.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/det.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)
 # det(input) — only out-of-place (no inplace/out parameter for det)

test/infinicore/ops/diag.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, diagonal_k_or_None)
 # infinicore.diag: behavior depends on input dim: 1-D -> returns 2-D diag matrix; 2-D -> returns 1-D diagonal

test/infinicore/ops/diag_embed.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, offset_or_None)
 # diag_embed(input, offset=0, dim1=-2, dim2=-1)

test/infinicore/ops/diagflat.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, offset_or_None)
 # diagflat(input, offset=0, dim=0)

test/infinicore/ops/diagonal.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, offset_or_None, dim1_or_None, dim2_or_None)
 # infinicore.diagonal(input, offset=0, dim1=0, dim2=1)

test/infinicore/ops/diagonal_scatter.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/diff.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, n, dim, input_strides_or_None)
 

test/infinicore/ops/digamma.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/dist.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: (shape, a_strides_or_None, b_strides_or_None, p_or_None)
 # dist computes p-norm distance between two tensors