【inductor】Temporarily close some inductor ci tests, accelarate ci access control-pytorch-AtomGit

已合并

【inductor】Temporarily close some inductor ci tests, accelarate ci access control #30302

kkjocker创建于 1月31日从kkjocker/pytorch_730： v2.7.1_main 合入到 Ascend/pytorch： v2.7.1

【inductor】Temporarily close some inductor ci tests, accelarate ci access control #30302

已合并

kkjocker创建于 1月31日

从kkjocker/pytorch_730 v2.7.1_main合入到Ascend/pytorch v2.7.1

共 8 个文件变更+16-0

Mtest/_inductor/test_abs.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -9,6 +10,7 @@ class TestAbs(TestUtils):
9	result = torch.abs(first_element)	10	result = torch.abs(first_element)
10	return result	11	return result
11		12
		13	+ @unittest.skip("it takes too long, not supported yet")
12	@parametrize('shape', [(1024, 32), (256, 8)])	14	@parametrize('shape', [(1024, 32), (256, 8)])
13	@parametrize('dtype', ['float16', 'float32', 'bfloat16'])	15	@parametrize('dtype', ['float16', 'float32', 'bfloat16'])
14	def test_pointwise_cases(self, shape, dtype):	16	def test_pointwise_cases(self, shape, dtype):

Mtest/_inductor/test_floor.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -9,6 +10,7 @@ class TestFloor(TestUtils):
9	result = torch.floor(first_element)	10	result = torch.floor(first_element)
10	return result	11	return result
11		12
		13	+ @unittest.skip("it takes too long, not supported yet")
12	@parametrize('shape', TestUtils._pointwise_demo_shapes)	14	@parametrize('shape', TestUtils._pointwise_demo_shapes)
13	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32', 'int64'])	15	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32', 'int64'])
14	def test_pointwise_cases(self, shape, dtype):	16	def test_pointwise_cases(self, shape, dtype):

Mtest/_inductor/test_ge.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -8,6 +9,7 @@ class TestGe(TestUtils):
8	def op_calc(self, first_element, second_element):	9	def op_calc(self, first_element, second_element):
9	return torch.ge(first_element, second_element)	10	return torch.ge(first_element, second_element)
10		11
		12	+ @unittest.skip("it takes too long, not supported yet")
11	@parametrize('shape', TestUtils._pointwise_demo_shapes)	13	@parametrize('shape', TestUtils._pointwise_demo_shapes)
12	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32'])	14	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32'])
13	def test_pointwise_cases(self, shape, dtype):	15	def test_pointwise_cases(self, shape, dtype):

Mtest/_inductor/test_gt.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -9,6 +10,7 @@ class TestGt(TestUtils):
9	result = torch.gt(first_element, second_element)	10	result = torch.gt(first_element, second_element)
10	return result	11	return result
11		12
		13	+ @unittest.skip("it takes too long, not supported yet")
12	@parametrize('shape', TestUtils._pointwise_demo_shapes)	14	@parametrize('shape', TestUtils._pointwise_demo_shapes)
13	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32'])	15	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32'])
14	def test_pointwise_cases(self, shape, dtype):	16	def test_pointwise_cases(self, shape, dtype):

Mtest/_inductor/test_reshape.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -15,6 +16,7 @@ class TestReshape(TestUtils):
15	y = a + b	16	y = a + b
16	return y	17	return y
17		18
		19	+ @unittest.skip("it takes too long, not supported yet")
18	@parametrize('shape', [(1, 12, 256, 8)])	20	@parametrize('shape', [(1, 12, 256, 8)])
19	@parametrize('dtype', ['float32', 'int32', 'float16', 'bfloat16', 'int64'])	21	@parametrize('dtype', ['float32', 'int32', 'float16', 'bfloat16', 'int64'])
20	def test_view_cases(self, shape, dtype):	22	def test_view_cases(self, shape, dtype):

Mtest/_inductor/test_rsqrt.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -9,6 +10,7 @@ class TestRsqrt(TestUtils):
9	result = torch.rsqrt(first_element)	10	result = torch.rsqrt(first_element)
10	return result	11	return result
11		12
		13	+ @unittest.skip("it takes too long, not supported yet")
12	@parametrize('shape', TestUtils._pointwise_demo_shapes)	14	@parametrize('shape', TestUtils._pointwise_demo_shapes)
13	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32', 'int64'])	15	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32', 'int64'])
14	def test_pointwise_cases(self, shape, dtype):	16	def test_pointwise_cases(self, shape, dtype):

Mtest/_inductor/test_sub.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -9,6 +10,7 @@ class TestSub(TestUtils):
9	result = first_element - second_element	10	result = first_element - second_element
10	return result	11	return result
11		12
		13	+ @unittest.skip("it takes too long, not supported yet")
12	@parametrize('shape', TestUtils._pointwise_demo_shapes)	14	@parametrize('shape', TestUtils._pointwise_demo_shapes)
13	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32', 'int64'])	15	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32', 'int64'])
14	def test_pointwise_cases(self, shape, dtype):	16	def test_pointwise_cases(self, shape, dtype):

Mtest/_inductor/test_where.py+2-0

	@@ -1,3 +1,4 @@
		1	+import unittest
1	import torch	2	import torch
2	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests	3	from torch.testing._internal.common_utils import run_tests, parametrize, instantiate_parametrized_tests
3	from testutils import TestUtils	4	from testutils import TestUtils
	@@ -8,6 +9,7 @@ class TestWhere(TestUtils):
8	def op_calc(self, condition, first_element, second_element):	9	def op_calc(self, condition, first_element, second_element):
9	return torch.where(condition, first_element, second_element)	10	return torch.where(condition, first_element, second_element)
10		11
		12	+ @unittest.skip("it takes too long, not supported yet")
11	@parametrize('shape', TestUtils._pointwise_demo_shapes)	13	@parametrize('shape', TestUtils._pointwise_demo_shapes)
12	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32'])	14	@parametrize('dtype', ['float16', 'float32', 'bfloat16', 'int32'])
13	def test_pointwise_cases(self, shape, dtype):	15	def test_pointwise_cases(self, shape, dtype):