chore: 整理 BatchNormGradV3 文档、许可证头与格式-ops-nn-AtomGit

Mdocs/zh/op_list.md+1-1

	@@ -3486,7 +3486,7 @@
3486	<td>✓</td>	3486	<td>✓</td>
3487	<td>✓</td>	3487	<td>✓</td>
3488	<td>AI Core</td>	3488	<td>AI Core</td>
3489	- <td>该算子暂无Ascend C代码实现，欢迎开发者补充贡献，贡献方式参考<a href="../../CONTRIBUTING.md">贡献指南</a>。</td>	3489	+ <td>批归一化反向传播算子，已提供 Ascend C 实现及 ACLNN 接口。</td>
3490	</tr>	3490	</tr>
3491	<tr>	3491	<tr>
3492	<td>norm</td>	3492	<td>norm</td>

Mnorm/batch_norm_grad_v3/CMakeLists.txt+5-5

	@@ -1,10 +1,10 @@
1	#	1	#
2	-# This program is free software, you can redistribute it and/or modify.
3	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	-# This file is a part of the CANN Open Software.	3	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+# CANN Open Software License Agreement Version 2.0 (the "License").
6	# Please refer to the License for details. You may not use this file except in compliance with the License.	5	# Please refer to the License for details. You may not use this file except in compliance with the License.
7	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	6	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		7	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
8	# See LICENSE in the root of the software repository for the full text of the License.	8	# See LICENSE in the root of the software repository for the full text of the License.
9	#/	9	#/
10		10
	@@ -17,4 +17,4 @@ foreach(SUB_DIR ${CURRENT_DIRS})
17	if(EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/${SUB_DIR}/CMakeLists.txt")	17	if(EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/${SUB_DIR}/CMakeLists.txt")
18	add_subdirectory(${SUB_DIR})	18	add_subdirectory(${SUB_DIR})
19	endif()	19	endif()
20	-endforeach()	20	+endforeach()

Mnorm/batch_norm_grad_v3/README.md+3-1

	@@ -1,3 +1,5 @@
1	# BatchNormGradV3	1	# BatchNormGradV3
2		2
3	-本目录仅包含BatchNormGradV3算子对应的aclnn接口；如您想要贡献该算子的AscendC实现，请参考[贡献流程](../../CONTRIBUTING.md)。	3	+本目录包含 BatchNormGradV3 算子的 Ascend C Kernel 实现、Host 侧 tiling 与形状和数据类型推导、ACLNN 接口及图模式注册代码，用于批归一化反向传播。
		4	+
		5	+接口说明见 [aclnnBatchNormBackward](docs/aclnnBatchNormBackward.md) 和 [aclnnFastBatchNormBackward](docs/aclnnFastBatchNormBackward.md)。

Mnorm/batch_norm_grad_v3/examples/test_aclnn_batch_norm_backward.cpp+5-6

	@@ -1,12 +1,11 @@
1	/**	1	/**
2	- * This program is free software, you can redistribute it and/or modify.
3	* Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	* Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	- * This file is a part of the CANN Open Software.	3	+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	- * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+ * CANN Open Software License Agreement Version 2.0 (the "License").
6	* Please refer to the License for details. You may not use this file except in compliance with the License.	5	* Please refer to the License for details. You may not use this file except in compliance with the License.
7	- * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING	6	+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
8	- * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. See LICENSE in the root of	7	+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
9	- * the software repository for the full text of the License.	8	+ * See LICENSE in the root of the software repository for the full text of the License.
10	*/	9	*/
11	#include <iostream>	10	#include <iostream>
12	#include <vector>	11	#include <vector>

Mnorm/batch_norm_grad_v3/op_graph/CMakeLists.txt+5-5

	@@ -1,11 +1,11 @@
1	-# This program is free software, you can redistribute it and/or modify.
2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	1	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
3	-# This file is a part of the CANN Open Software.	2	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	3	+# CANN Open Software License Agreement Version 2.0 (the "License").
5	# Please refer to the License for details. You may not use this file except in compliance with the License.	4	# Please refer to the License for details. You may not use this file except in compliance with the License.
6	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	5	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		6	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
7	# See LICENSE in the root of the software repository for the full text of the License.	7	# See LICENSE in the root of the software repository for the full text of the License.
8	#/	8	#/
9		9
10	message(STATUS "=== Debug: start ops.norm.batch_norm_grad_v3.graph_plugin.CMakeLists.txt ")	10	message(STATUS "=== Debug: start ops.norm.batch_norm_grad_v3.graph_plugin.CMakeLists.txt ")
11	-add_graph_plugin_sources()	11	+add_graph_plugin_sources()

Mnorm/batch_norm_grad_v3/op_host/CMakeLists.txt+5-5

	@@ -1,12 +1,12 @@
1	#	1	#
2	-# This program is free software, you can redistribute it and/or modify.
3	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	-# This file is a part of the CANN Open Software.	3	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+# CANN Open Software License Agreement Version 2.0 (the "License").
6	# Please refer to the License for details. You may not use this file except in compliance with the License.	5	# Please refer to the License for details. You may not use this file except in compliance with the License.
7	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	6	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		7	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
8	# See LICENSE in the root of the software repository for the full text of the License.	8	# See LICENSE in the root of the software repository for the full text of the License.
9	#/	9	#/
10	message(STATUS "=== Debug: start ops.norm.batch_norm_grad_v3.op_host.CMakeLists.txt ")	10	message(STATUS "=== Debug: start ops.norm.batch_norm_grad_v3.op_host.CMakeLists.txt ")
11		11
12	-add_modules_sources(HOSTNAME ${OPHOST_NAME} MODE PRIVATE DIR ${CMAKE_CURRENT_SOURCE_DIR} OPTYPE batch_norm_grad_v3 ACLNNTYPE aclnn_exclude DEPENDENCIES norm_common)	12	+add_modules_sources(HOSTNAME ${OPHOST_NAME} MODE PRIVATE DIR ${CMAKE_CURRENT_SOURCE_DIR} OPTYPE batch_norm_grad_v3 ACLNNTYPE aclnn_exclude DEPENDENCIES norm_common)

Mnorm/batch_norm_grad_v3/op_host/batch_norm_grad_v3_base_tiling.h+1-1

	@@ -159,4 +159,4 @@ protected:
159		159
160	} // namespace optiling	160	} // namespace optiling
161		161
162	-#endif	162	+#endif

Mnorm/batch_norm_grad_v3/op_kernel/batch_norm_grad_v3.cpp+1-1

	@@ -112,4 +112,4 @@ extern "C" __global__ __aicore__ void batch_norm_grad_v3(GM_ADDR dy, GM_ADDR x,
112	op.Init(gmStruct, &pipe);	112	op.Init(gmStruct, &pipe);
113	op.Process();	113	op.Process();
114	}	114	}
115	-}	115	+}

Mnorm/batch_norm_grad_v3/tests/CMakeLists.txt+4-4

	@@ -1,9 +1,9 @@
1	-# This program is free software, you can redistribute it and/or modify.
2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	1	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
3	-# This file is a part of the CANN Open Software.	2	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	3	+# CANN Open Software License Agreement Version 2.0 (the "License").
5	# Please refer to the License for details. You may not use this file except in compliance with the License.	4	# Please refer to the License for details. You may not use this file except in compliance with the License.
6	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	5	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		6	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
7	# See LICENSE in the root of the software repository for the full text of the License.	7	# See LICENSE in the root of the software repository for the full text of the License.
8	#/	8	#/
9		9

Mnorm/batch_norm_grad_v3/tests/st/aclnnBatchNormBackward/atk_aclnnBatchNormBackward.json+1-1

Mnorm/batch_norm_grad_v3/tests/st/aclnnBatchNormBackward/executor_aclnnBatchNormBackward.py+16-9

	@@ -1,12 +1,12 @@
1	#!/usr/bin/env python3	1	#!/usr/bin/env python3
2	# -- coding: utf-8 --	2	# -- coding: utf-8 --
3	# ----------------------------------------------------------------------------	3	# ----------------------------------------------------------------------------
4	-# This program is free software, you can redistribute it and/or modify.
5	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	4	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
6	-# This file is a part of the CANN Open Software.	5	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
7	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	6	+# CANN Open Software License Agreement Version 2.0 (the "License").
8	# Please refer to the License for details. You may not use this file except in compliance with the License.	7	# Please refer to the License for details. You may not use this file except in compliance with the License.
9	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	8	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		9	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
10	# See LICENSE in the root of the software repository for the full text of the License.	10	# See LICENSE in the root of the software repository for the full text of the License.
11	# ----------------------------------------------------------------------------	11	# ----------------------------------------------------------------------------
12		12
	@@ -16,14 +16,11 @@ from atk.configs.results_config import TaskResult
16	from atk.tasks.api_execute import register	16	from atk.tasks.api_execute import register
17	from atk.tasks.api_execute.base_api import BaseApi	17	from atk.tasks.api_execute.base_api import BaseApi
18	from atk.tasks.api_execute.aclnn_base_api import AclnnBaseApi	18	from atk.tasks.api_execute.aclnn_base_api import AclnnBaseApi
19	-from atk.tasks.dataset.base_dataset import OpsDataset
20	from atk.tasks.backends.lib_interface.acl_wrapper import AclFormat	19	from atk.tasks.backends.lib_interface.acl_wrapper import AclFormat
21	-import numpy as np
22		20
23		21
24	@register("function_aclnnBatchNormBackward")	22	@register("function_aclnnBatchNormBackward")
25	class aclnnBatchNormBackwardExecutor(BaseApi):	23	class aclnnBatchNormBackwardExecutor(BaseApi):
26	-
27	def __call__(self, input_data: InputDataset, with_output: bool = False):	24	def __call__(self, input_data: InputDataset, with_output: bool = False):
28	gradOut = input_data.kwargs["input0"]	25	gradOut = input_data.kwargs["input0"]
29	input_x = input_data.kwargs["input1"]	26	input_x = input_data.kwargs["input1"]
	@@ -49,7 +46,18 @@ class aclnnBatchNormBackwardExecutor(BaseApi):
49	gradOut_t = gradOut	46	gradOut_t = gradOut
50	input_x_t = input_x	47	input_x_t = input_x
51		48
52	- res = torch.ops.aten.native_batch_norm_backward(gradOut_t, input_x_t, weight, runningMean, runningVar, saveMean, saveInvstd, training, eps, outputMask)	49	+ res = torch.ops.aten.native_batch_norm_backward(
		50	+ gradOut_t,
		51	+ input_x_t,
		52	+ weight,
		53	+ runningMean,
		54	+ runningVar,
		55	+ saveMean,
		56	+ saveInvstd,
		57	+ training,
		58	+ eps,
		59	+ outputMask,
		60	+ )
53		61
54	res_list = []	62	res_list = []
55	for i in range(3):	63	for i in range(3):
	@@ -99,4 +107,3 @@ class aclnnBatchNormBackwardAclnnApi(AclnnBaseApi):
99	else:	107	else:
100	output.append(torch.zeros(self.shape_list[i]).to(self.dtype_list[i]))	108	output.append(torch.zeros(self.shape_list[i]).to(self.dtype_list[i]))
101	return output	109	return output
102	-

Mnorm/batch_norm_grad_v3/tests/ut/CMakeLists.txt+5-5

	@@ -1,9 +1,9 @@
1	-# This program is free software, you can redistribute it and/or modify.
2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	1	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
3	-# This file is a part of the CANN Open Software.	2	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	3	+# CANN Open Software License Agreement Version 2.0 (the "License").
5	# Please refer to the License for details. You may not use this file except in compliance with the License.	4	# Please refer to the License for details. You may not use this file except in compliance with the License.
6	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	5	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		6	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
7	# See LICENSE in the root of the software repository for the full text of the License.	7	# See LICENSE in the root of the software repository for the full text of the License.
8	#/	8	#/
9		9
	@@ -14,4 +14,4 @@ foreach(SUB_DIR ${CURRENT_DIRS})
14	if(EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/${SUB_DIR}/CMakeLists.txt")	14	if(EXISTS "${CMAKE_CURRENT_SOURCE_DIR}/${SUB_DIR}/CMakeLists.txt")
15	add_subdirectory(${SUB_DIR})	15	add_subdirectory(${SUB_DIR})
16	endif()	16	endif()
17	-endforeach()	17	+endforeach()

Mnorm/batch_norm_grad_v3/tests/ut/op_host/CMakeLists.txt+4-4

	@@ -1,9 +1,9 @@
1	-# This program is free software, you can redistribute it and/or modify.
2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	1	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
3	-# This file is a part of the CANN Open Software.	2	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	3	+# CANN Open Software License Agreement Version 2.0 (the "License").
5	# Please refer to the License for details. You may not use this file except in compliance with the License.	4	# Please refer to the License for details. You may not use this file except in compliance with the License.
6	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	5	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		6	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
7	# See LICENSE in the root of the software repository for the full text of the License.	7	# See LICENSE in the root of the software repository for the full text of the License.
8	#/	8	#/
9		9

Mnorm/batch_norm_grad_v3/tests/ut/op_host/op_api/CMakeLists.txt+4-5

	@@ -1,9 +1,9 @@
1	-# This program is free software, you can redistribute it and/or modify.
2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	1	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
3	-# This file is a part of the CANN Open Software.	2	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	3	+# CANN Open Software License Agreement Version 2.0 (the "License").
5	# Please refer to the License for details. You may not use this file except in compliance with the License.	4	# Please refer to the License for details. You may not use this file except in compliance with the License.
6	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	5	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		6	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
7	# See LICENSE in the root of the software repository for the full text of the License.	7	# See LICENSE in the root of the software repository for the full text of the License.
8	#/	8	#/
9		9
	@@ -11,4 +11,3 @@ file(GLOB CURRENT_DIRS RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_SOUR
11	if(UT_TEST_ALL OR OP_API_UT)	11	if(UT_TEST_ALL OR OP_API_UT)
12	add_modules_ut_sources(HOSTNAME ${OP_API_MODULE_NAME} MODE PRIVATE DIR ${CMAKE_CURRENT_SOURCE_DIR})	12	add_modules_ut_sources(HOSTNAME ${OP_API_MODULE_NAME} MODE PRIVATE DIR ${CMAKE_CURRENT_SOURCE_DIR})
13	endif()	13	endif()
14	-

Mnorm/batch_norm_grad_v3/tests/ut/op_host/op_api/test_aclnn_batchnorm_backward.cpp+5-6

	@@ -1,12 +1,11 @@
1	/**	1	/**
2	- * This program is free software, you can redistribute it and/or modify.
3	* Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	* Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	- * This file is a part of the CANN Open Software.	3	+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	- * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+ * CANN Open Software License Agreement Version 2.0 (the "License").
6	* Please refer to the License for details. You may not use this file except in compliance with the License.	5	* Please refer to the License for details. You may not use this file except in compliance with the License.
7	- * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING	6	+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
8	- * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. See LICENSE in the root of	7	+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
9	- * the software repository for the full text of the License.	8	+ * See LICENSE in the root of the software repository for the full text of the License.
10	*/	9	*/
11		10
12	#include "gtest/gtest.h"	11	#include "gtest/gtest.h"

Mnorm/batch_norm_grad_v3/tests/ut/op_host/test_batch_norm_grad_v3_infershape.cpp+5-6

	@@ -1,12 +1,11 @@
1	/**	1	/**
2	- * This program is free software, you can redistribute it and/or modify.
3	* Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	* Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	- * This file is a part of the CANN Open Software.	3	+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	- * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+ * CANN Open Software License Agreement Version 2.0 (the "License").
6	* Please refer to the License for details. You may not use this file except in compliance with the License.	5	* Please refer to the License for details. You may not use this file except in compliance with the License.
7	- * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING	6	+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
8	- * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. See LICENSE in the root of	7	+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
9	- * the software repository for the full text of the License.	8	+ * See LICENSE in the root of the software repository for the full text of the License.
10	*/	9	*/
11	#include <gtest/gtest.h>	10	#include <gtest/gtest.h>
12	#include <iostream>	11	#include <iostream>

Mnorm/batch_norm_grad_v3/tests/ut/op_host/test_batch_norm_grad_v3_tiling.h+5-6

	@@ -1,12 +1,11 @@
1	/**	1	/**
2	- * This program is free software, you can redistribute it and/or modify.
3	* Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	* Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	- * This file is a part of the CANN Open Software.	3	+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	- * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+ * CANN Open Software License Agreement Version 2.0 (the "License").
6	* Please refer to the License for details. You may not use this file except in compliance with the License.	5	* Please refer to the License for details. You may not use this file except in compliance with the License.
7	- * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING	6	+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
8	- * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. See LICENSE in the root of	7	+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
9	- * the software repository for the full text of the License.	8	+ * See LICENSE in the root of the software repository for the full text of the License.
10	*/	9	*/
11		10
12	/*!	11	/*!

Mnorm/batch_norm_grad_v3/tests/ut/op_kernel/CMakeLists.txt+5-5

	@@ -1,11 +1,11 @@
1	-# This program is free software, you can redistribute it and/or modify.
2	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	1	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
3	-# This file is a part of the CANN Open Software.	2	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
4	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	3	+# CANN Open Software License Agreement Version 2.0 (the "License").
5	# Please refer to the License for details. You may not use this file except in compliance with the License.	4	# Please refer to the License for details. You may not use this file except in compliance with the License.
6	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	5	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		6	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
7	# See LICENSE in the root of the software repository for the full text of the License.	7	# See LICENSE in the root of the software repository for the full text of the License.
8	#/	8	#/
9	if ((UT_TEST_ALL OR OP_KERNEL_UT) AND NOT UT_DONE)	9	if ((UT_TEST_ALL OR OP_KERNEL_UT) AND NOT UT_DONE)
10	AddOpTestCase(batch_norm_grad_v3 "ascend910B1" "" )	10	AddOpTestCase(batch_norm_grad_v3 "ascend910B1" "" )
11	-endif()	11	+endif()

Mnorm/batch_norm_grad_v3/tests/ut/op_kernel/batch_norm_grad_v3_data/compare_data.py+7-5

	@@ -1,12 +1,12 @@
1	#!/usr/bin/env python3	1	#!/usr/bin/env python3
2	# -- coding: utf-8 --	2	# -- coding: utf-8 --
3	# ----------------------------------------------------------------------------	3	# ----------------------------------------------------------------------------
4	-# This program is free software, you can redistribute it and/or modify.
5	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	4	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
6	-# This file is a part of the CANN Open Software.	5	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
7	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	6	+# CANN Open Software License Agreement Version 2.0 (the "License").
8	# Please refer to the License for details. You may not use this file except in compliance with the License.	7	# Please refer to the License for details. You may not use this file except in compliance with the License.
9	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	8	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		9	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
10	# See LICENSE in the root of the software repository for the full text of the License.	10	# See LICENSE in the root of the software repository for the full text of the License.
11	# ----------------------------------------------------------------------------	11	# ----------------------------------------------------------------------------
12	import sys	12	import sys
	@@ -14,6 +14,7 @@ import sys
14	import numpy as np	14	import numpy as np
15	from bfloat16 import bfloat16	15	from bfloat16 import bfloat16
16		16
		17	+
17	def compare_data(dx_dtype):	18	def compare_data(dx_dtype):
18	if dx_dtype == "bfloat16":	19	if dx_dtype == "bfloat16":
19	dx = np.fromfile("./cce_cpu_dx.bin", bfloat16).astype(np.float32)	20	dx = np.fromfile("./cce_cpu_dx.bin", bfloat16).astype(np.float32)
	@@ -29,5 +30,6 @@ def compare_data(dx_dtype):
29	if not check_dx:	30	if not check_dx:
30	raise RuntimeError("dx compare failed")	31	raise RuntimeError("dx compare failed")
31		32
		33	+
32	if __name__ == "__main__":	34	if __name__ == "__main__":
33	- compare_data(*sys.argv[1:])	35	+ compare_data(*sys.argv[1:])

Mnorm/batch_norm_grad_v3/tests/ut/op_kernel/batch_norm_grad_v3_data/gen_data.py+111-39

	@@ -1,12 +1,12 @@
1	#!/usr/bin/python	1	#!/usr/bin/python
2	# -- coding: utf-8 --	2	# -- coding: utf-8 --
3	# ----------------------------------------------------------------------------	3	# ----------------------------------------------------------------------------
4	-# This program is free software, you can redistribute it and/or modify.
5	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	4	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
6	-# This file is a part of the CANN Open Software.	5	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
7	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	6	+# CANN Open Software License Agreement Version 2.0 (the "License").
8	# Please refer to the License for details. You may not use this file except in compliance with the License.	7	# Please refer to the License for details. You may not use this file except in compliance with the License.
9	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	8	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		9	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
10	# See LICENSE in the root of the software repository for the full text of the License.	10	# See LICENSE in the root of the software repository for the full text of the License.
11	# ----------------------------------------------------------------------------	11	# ----------------------------------------------------------------------------
12		12
	@@ -14,23 +14,48 @@ import sys
14	import numpy as np	14	import numpy as np
15	import torch	15	import torch
16	import tensorflow as tf	16	import tensorflow as tf
		17	+
17	bfloat16 = tf.bfloat16.as_numpy_dtype	18	bfloat16 = tf.bfloat16.as_numpy_dtype
18		19
19	case_list = {	20	case_list = {
20	- "case1" : {"x_shape":[5, 2, 32, 128], "weight_shape":[2]},	21	+ "case1": {"x_shape": [5, 2, 32, 128], "weight_shape": [2]},
21	- "case2" : {"x_shape":[170, 2, 2, 125], "weight_shape":[2]},	22	+ "case2": {"x_shape": [170, 2, 2, 125], "weight_shape": [2]},
22	- "case3" : {"x_shape":[8, 2, 8, 16, 16], "weight_shape":[2]},	23	+ "case3": {"x_shape": [8, 2, 8, 16, 16], "weight_shape": [2]},
23	- "case4" : {"x_shape":[32, 2, 13, 16], "weight_shape":[8]},	24	+ "case4": {"x_shape": [32, 2, 13, 16], "weight_shape": [8]},
24	- "case5" : {"x_shape":[32, 2, 16, 16], "weight_shape":[4]},	25	+ "case5": {"x_shape": [32, 2, 16, 16], "weight_shape": [4]},
25	- "case6" : {"x_shape":[32, 2, 16, 16], "weight_shape":[8]},	26	+ "case6": {"x_shape": [32, 2, 16, 16], "weight_shape": [8]},
26	- "case7" : {"x_shape":[1, 2, 448, 448], "weight_shape":[2]},	27	+ "case7": {"x_shape": [1, 2, 448, 448], "weight_shape": [2]},
27	- "case8" : {"x_shape":[10, 2, 192, 108], "weight_shape":[2]},	28	+ "case8": {"x_shape": [10, 2, 192, 108], "weight_shape": [2]},
28	- "case9" : {"x_shape":[20, 2, 28, 28, 16], "weight_shape":[2]},	29	+ "case9": {"x_shape": [20, 2, 28, 28, 16], "weight_shape": [2]},
29	- "infer_channel_last_fp32": {"x_shape":[10, 2, 3, 200], "weight_shape":[200], "is_training": False, "epsilon": 0, "format": "NHWC"},	30	+ "infer_channel_last_fp32": {
30	- "infer_fp32": {"x_shape":[1, 2, 1, 1], "weight_shape":[2], "is_training": False, "epsilon": 0, "format": "NCHW"},	31	+ "x_shape": [10, 2, 3, 200],
		32	+ "weight_shape": [200],
		33	+ "is_training": False,
		34	+ "epsilon": 0,
		35	+ "format": "NHWC",
		36	+ },
		37	+ "infer_fp32": {
		38	+ "x_shape": [1, 2, 1, 1],
		39	+ "weight_shape": [2],
		40	+ "is_training": False,
		41	+ "epsilon": 0,
		42	+ "format": "NCHW",
		43	+ },
31	}	44	}
32		45
33	-def batch_norm_grad_v3(dy, x, weight, running_mean, running_var, save_mean, save_rstd, training=True, epsilon=1e-5, format="NCHW"):	46	+
		47	+def batch_norm_grad_v3(
		48	+ dy,
		49	+ x,
		50	+ weight,
		51	+ running_mean,
		52	+ running_var,
		53	+ save_mean,
		54	+ save_rstd,
		55	+ training=True,
		56	+ epsilon=1e-5,
		57	+ format="NCHW",
		58	+):
34	dtype = dy.dtype	59	dtype = dy.dtype
35	if dtype != np.float32:	60	if dtype != np.float32:
36	dy = dy.astype(np.float32)	61	dy = dy.astype(np.float32)
	@@ -47,41 +72,77 @@ def batch_norm_grad_v3(dy, x, weight, running_mean, running_var, save_mean, save
47	tensor_save_rstd = torch.from_numpy(save_rstd).to(torch.float32)	72	tensor_save_rstd = torch.from_numpy(save_rstd).to(torch.float32)
48		73
49	if format == "NHWC":	74	if format == "NHWC":
50	- tensor_dy = tensor_dy.permute(0, 3, 1, 2) #NHWC -> NCHW	75	+ tensor_dy = tensor_dy.permute(0, 3, 1, 2) # NHWC -> NCHW
51	tensor_x = tensor_x.permute(0, 3, 1, 2)	76	tensor_x = tensor_x.permute(0, 3, 1, 2)
52	elif format == "NDHWC":	77	elif format == "NDHWC":
53	- tensor_dy = tensor_dy.permute(0, 4, 1, 2, 3) #NDHWC -> NCDHW	78	+ tensor_dy = tensor_dy.permute(0, 4, 1, 2, 3) # NDHWC -> NCDHW
54	tensor_x = tensor_x.permute(0, 4, 1, 2, 3)	79	tensor_x = tensor_x.permute(0, 4, 1, 2, 3)
55		80
56	- res = torch.ops.aten.native_batch_norm_backward(grad_out=tensor_dy, input=tensor_x,	81	+ res = torch.ops.aten.native_batch_norm_backward(
57	- weight=tensor_weight, running_mean=tensor_running_mean, running_var=tensor_running_var,	82	+ grad_out=tensor_dy,
58	- save_mean=tensor_save_mean, save_invstd=tensor_save_rstd, train=training, eps=epsilon,	83	+ input=tensor_x,
59	- output_mask=[True, True, True])	84	+ weight=tensor_weight,
		85	+ running_mean=tensor_running_mean,
		86	+ running_var=tensor_running_var,
		87	+ save_mean=tensor_save_mean,
		88	+ save_invstd=tensor_save_rstd,
		89	+ train=training,
		90	+ eps=epsilon,
		91	+ output_mask=[True, True, True],
		92	+ )
60		93
61	dx = res[0].numpy().astype(dtype)	94	dx = res[0].numpy().astype(dtype)
62	dgamma = res[1].numpy().astype(dtype)	95	dgamma = res[1].numpy().astype(dtype)
63	dbeta = res[2].numpy().astype(dtype)	96	dbeta = res[2].numpy().astype(dtype)
64		97
65	if format == "NHWC":	98	if format == "NHWC":
66	- dx = np.transpose(dx, (0, 2, 3, 1)) #NCHW -> NHWC	99	+ dx = np.transpose(dx, (0, 2, 3, 1)) # NCHW -> NHWC
67	elif format == "NDHWC":	100	elif format == "NDHWC":
68	- dx = np.transpose(dx, (0, 2, 3, 4, 1)) #NCDHW -> NDHWC	101	+ dx = np.transpose(dx, (0, 2, 3, 4, 1)) # NCDHW -> NDHWC
69		102
70	return dx, dgamma, dbeta	103	return dx, dgamma, dbeta
71		104
72		105
73	def gen_golden_data_simple(param, dtype):	106	def gen_golden_data_simple(param, dtype):
74	- dy = np.random.uniform(-2, 2, param["x_shape"]).astype(dtype).reshape(param["x_shape"])	107	+ dy = (
75	- x = np.random.uniform(-2, 2, param["x_shape"]).astype(dtype).reshape(param["x_shape"])	108	+ np.random.uniform(-2, 2, param["x_shape"])
76	- weight = np.random.uniform(-2, 2, param["weight_shape"]).astype(dtype).reshape(param["weight_shape"])	109	+ .astype(dtype)
77	- running_mean = np.random.uniform(-2, 2, param["weight_shape"]).astype(np.float32).reshape(param["weight_shape"])	110	+ .reshape(param["x_shape"])
78	- running_var = np.random.uniform(1, 1, param["weight_shape"]).astype(np.float32).reshape(param["weight_shape"])	111	+ )
79	- save_mean = np.random.uniform(-2, 2, param["weight_shape"]).astype(np.float32).reshape(param["weight_shape"])	112	+ x = (
80	- save_rstd = np.random.uniform(-2, 2, param["weight_shape"]).astype(np.float32).reshape(param["weight_shape"])	113	+ np.random.uniform(-2, 2, param["x_shape"])
		114	+ .astype(dtype)
		115	+ .reshape(param["x_shape"])
		116	+ )
		117	+ weight = (
		118	+ np.random.uniform(-2, 2, param["weight_shape"])
		119	+ .astype(dtype)
		120	+ .reshape(param["weight_shape"])
		121	+ )
		122	+ running_mean = (
		123	+ np.random.uniform(-2, 2, param["weight_shape"])
		124	+ .astype(np.float32)
		125	+ .reshape(param["weight_shape"])
		126	+ )
		127	+ running_var = (
		128	+ np.random.uniform(1, 1, param["weight_shape"])
		129	+ .astype(np.float32)
		130	+ .reshape(param["weight_shape"])
		131	+ )
		132	+ save_mean = (
		133	+ np.random.uniform(-2, 2, param["weight_shape"])
		134	+ .astype(np.float32)
		135	+ .reshape(param["weight_shape"])
		136	+ )
		137	+ save_rstd = (
		138	+ np.random.uniform(-2, 2, param["weight_shape"])
		139	+ .astype(np.float32)
		140	+ .reshape(param["weight_shape"])
		141	+ )
81		142
82	- is_training = param.get('is_training', True)	143	+ is_training = param.get("is_training", True)
83	- epsilon = param.get('epsilon', 1e-5)	144	+ epsilon = param.get("epsilon", 1e-5)
84	- format = param.get('format', "NCHW")	145	+ format = param.get("format", "NCHW")
85		146
86	dy.tofile("input_dy.bin")	147	dy.tofile("input_dy.bin")
87	x.tofile("input_x.bin")	148	x.tofile("input_x.bin")
	@@ -91,17 +152,28 @@ def gen_golden_data_simple(param, dtype):
91	save_mean.tofile("input_save_mean.bin")	152	save_mean.tofile("input_save_mean.bin")
92	save_rstd.tofile("input_save_rstd.bin")	153	save_rstd.tofile("input_save_rstd.bin")
93		154
94	- dx_golden, dgamma_golden, dbeta_golden = batch_norm_grad_v3(dy, x, weight, running_mean, running_var, save_mean, save_rstd, is_training, epsilon, format)	155	+ dx_golden, dgamma_golden, dbeta_golden = batch_norm_grad_v3(
		156	+ dy,
		157	+ x,
		158	+ weight,
		159	+ running_mean,
		160	+ running_var,
		161	+ save_mean,
		162	+ save_rstd,
		163	+ is_training,
		164	+ epsilon,
		165	+ format,
		166	+ )
95	dx_golden.tofile("dx_golden.bin")	167	dx_golden.tofile("dx_golden.bin")
96	dgamma_golden.tofile("dgamma_golden.bin")	168	dgamma_golden.tofile("dgamma_golden.bin")
97	dbeta_golden.tofile("dbeta_golden.bin")	169	dbeta_golden.tofile("dbeta_golden.bin")
98		170
99		171
100	DTYPE_MAP = {	172	DTYPE_MAP = {
101	- "float16":np.float16,	173	+ "float16": np.float16,
102	- "float":np.float32,	174	+ "float": np.float32,
103	"float32": np.float32,	175	"float32": np.float32,
104	- "bfloat16": bfloat16	176	+ "bfloat16": bfloat16,
105	}	177	}
106		178
107	if __name__ == "__main__":	179	if __name__ == "__main__":
	@@ -112,4 +184,4 @@ if __name__ == "__main__":
112	param = case_list.get(case_name)	184	param = case_list.get(case_name)
113	dtype = DTYPE_MAP.get(dtype)	185	dtype = DTYPE_MAP.get(dtype)
114	print("param:", param)	186	print("param:", param)
115	- gen_golden_data_simple(param, dtype)	187	+ gen_golden_data_simple(param, dtype)

Mnorm/batch_norm_grad_v3/tests/ut/op_kernel/batch_norm_grad_v3_data/gen_tiling.py+170-13

	@@ -1,12 +1,12 @@
1	#!/usr/bin/python	1	#!/usr/bin/python
2	# -- coding: utf-8 --	2	# -- coding: utf-8 --
3	# ----------------------------------------------------------------------------	3	# ----------------------------------------------------------------------------
4	-# This program is free software, you can redistribute it and/or modify.
5	# Copyright (c) 2025 Huawei Technologies Co., Ltd.	4	# Copyright (c) 2025 Huawei Technologies Co., Ltd.
6	-# This file is a part of the CANN Open Software.	5	+# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
7	-# Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	6	+# CANN Open Software License Agreement Version 2.0 (the "License").
8	# Please refer to the License for details. You may not use this file except in compliance with the License.	7	# Please refer to the License for details. You may not use this file except in compliance with the License.
9	-# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.	8	+# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
		9	+# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
10	# See LICENSE in the root of the software repository for the full text of the License.	10	# See LICENSE in the root of the software repository for the full text of the License.
11	# ----------------------------------------------------------------------------	11	# ----------------------------------------------------------------------------
12		12
	@@ -14,22 +14,179 @@ import numpy as np
14	import sys	14	import sys
15		15
16	TILING_CASE_LIST = {	16	TILING_CASE_LIST = {
17	- "case1": [5, 2, 4096, 8192, 2, 0, 1, 2, 8192, 1, 64, 4096, 0, 32, 8192, 8192, 2, 4096, 4096, 4096, 1, 0, 0, 0, 0],	17	+ "case1": [
18	- "case2": [170, 2, 250, 8000, 2, 0, 1, 2, 8192, 1, 64, 4096, 0, 32, 16000, 16000, 2, 10500, 8000, 8000, 1, 0, 0, 0, 0],	18	+ 5,
19	- "case3": [8, 2, 2048, 0, 2, 2, 0, 1, 8192, 1, 64, 4096, 0, 64, 12288, 12288, 1, 16384, 6144, 6144, 2, 4096, 6144, 6144, 2],	19	+ 2,
		20	+ 4096,
		21	+ 8192,
		22	+ 2,
		23	+ 0,
		24	+ 1,
		25	+ 2,
		26	+ 8192,
		27	+ 1,
		28	+ 64,
		29	+ 4096,
		30	+ 0,
		31	+ 32,
		32	+ 8192,
		33	+ 8192,
		34	+ 2,
		35	+ 4096,
		36	+ 4096,
		37	+ 4096,
		38	+ 1,
		39	+ 0,
		40	+ 0,
		41	+ 0,
		42	+ 0,
		43	+ ],
		44	+ "case2": [
		45	+ 170,
		46	+ 2,
		47	+ 250,
		48	+ 8000,
		49	+ 2,
		50	+ 0,
		51	+ 1,
		52	+ 2,
		53	+ 8192,
		54	+ 1,
		55	+ 64,
		56	+ 4096,
		57	+ 0,
		58	+ 32,
		59	+ 16000,
		60	+ 16000,
		61	+ 2,
		62	+ 10500,
		63	+ 8000,
		64	+ 8000,
		65	+ 1,
		66	+ 0,
		67	+ 0,
		68	+ 0,
		69	+ 0,
		70	+ ],
		71	+ "case3": [
		72	+ 8,
		73	+ 2,
		74	+ 2048,
		75	+ 0,
		76	+ 2,
		77	+ 2,
		78	+ 0,
		79	+ 1,
		80	+ 8192,
		81	+ 1,
		82	+ 64,
		83	+ 4096,
		84	+ 0,
		85	+ 64,
		86	+ 12288,
		87	+ 12288,
		88	+ 1,
		89	+ 16384,
		90	+ 6144,
		91	+ 6144,
		92	+ 2,
		93	+ 4096,
		94	+ 6144,
		95	+ 6144,
		96	+ 2,
		97	+ ],
20	"case4": [32, 2, 208, 6656, 2, 0, 1, 2, 4096, 0, 64, 2, 1, 1, 1, 2],	98	"case4": [32, 2, 208, 6656, 2, 0, 1, 2, 4096, 0, 64, 2, 1, 1, 1, 2],
21	"case5": [32, 2, 256, 8192, 2, 0, 1, 2, 4096, 0, 64, 2, 1, 1, 1, 2],	99	"case5": [32, 2, 256, 8192, 2, 0, 1, 2, 4096, 0, 64, 2, 1, 1, 1, 2],
22	"case6": [32, 2, 256, 8192, 2, 0, 1, 2, 4096, 0, 64, 2, 1, 1, 1, 2],	100	"case6": [32, 2, 256, 8192, 2, 0, 1, 2, 4096, 0, 64, 2, 1, 1, 1, 2],
23	- "case7": [1, 2, 200704, 0, 2, 2, 0, 1, 8192, 1, 64, 4096, 0, 64, 14880, 14880, 8, 81664, 7440, 7440, 10, 7264, 7440, 7440, 2],	101	+ "case7": [
24	- "case8": [10, 2, 20736, 0, 2, 2, 0, 1, 8192, 1, 64, 4096, 0, 64, 14880, 14880, 1, 5856, 7440, 7440, 0, 5856, 7440, 7440, 2],	102	+ 1,
25	- "case9": [20, 2, 12544, 0, 2, 2, 0, 1, 8192, 1, 64, 4096, 0, 64, 12544, 12544, 1, 0, 6272, 6272, 0, 0, 6272, 6272, 2],	103	+ 2,
		104	+ 200704,
		105	+ 0,
		106	+ 2,
		107	+ 2,
		108	+ 0,
		109	+ 1,
		110	+ 8192,
		111	+ 1,
		112	+ 64,
		113	+ 4096,
		114	+ 0,
		115	+ 64,
		116	+ 14880,
		117	+ 14880,
		118	+ 8,
		119	+ 81664,
		120	+ 7440,
		121	+ 7440,
		122	+ 10,
		123	+ 7264,
		124	+ 7440,
		125	+ 7440,
		126	+ 2,
		127	+ ],
		128	+ "case8": [
		129	+ 10,
		130	+ 2,
		131	+ 20736,
		132	+ 0,
		133	+ 2,
		134	+ 2,
		135	+ 0,
		136	+ 1,
		137	+ 8192,
		138	+ 1,
		139	+ 64,
		140	+ 4096,
		141	+ 0,
		142	+ 64,
		143	+ 14880,
		144	+ 14880,
		145	+ 1,
		146	+ 5856,
		147	+ 7440,
		148	+ 7440,
		149	+ 0,
		150	+ 5856,
		151	+ 7440,
		152	+ 7440,
		153	+ 2,
		154	+ ],
		155	+ "case9": [
		156	+ 20,
		157	+ 2,
		158	+ 12544,
		159	+ 0,
		160	+ 2,
		161	+ 2,
		162	+ 0,
		163	+ 1,
		164	+ 8192,
		165	+ 1,
		166	+ 64,
		167	+ 4096,
		168	+ 0,
		169	+ 64,
		170	+ 12544,
		171	+ 12544,
		172	+ 1,
		173	+ 0,
		174	+ 6272,
		175	+ 6272,
		176	+ 0,
		177	+ 0,
		178	+ 6272,
		179	+ 6272,
		180	+ 2,
		181	+ ],
26	"infer_channel_last_fp32": [2, 1, 2, 200, 2, 1, 192, 8, 184, 60, 60, 0],	182	"infer_channel_last_fp32": [2, 1, 2, 200, 2, 1, 192, 8, 184, 60, 60, 0],
27	"infer_fp32": [1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 64, 1, 0, 0],	183	"infer_fp32": [1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 2, 2, 64, 1, 0, 0],
28	"infer_full_load_fp32": [1, 2, 1, 8, 1, 1, 956, 2, 0],	184	"infer_full_load_fp32": [1, 2, 1, 8, 1, 1, 956, 2, 0],
29	"infer_split_load_fp32": [10000, 2, 100, 1000000, 1, 1, 6128, 1, 2, 3872, 2, 0],	185	"infer_split_load_fp32": [10000, 2, 100, 1000000, 1, 1, 6128, 1, 2, 3872, 2, 0],
30	"train_full_load_fp32": [1, 2, 1, 8, 1, 1, 956, 2, 0],	186	"train_full_load_fp32": [1, 2, 1, 8, 1, 1, 956, 2, 0],
31	- "train_split_load_fp32": [10000, 2, 100, 1000000, 1, 1, 6128, 1, 2, 3872, 2, 0]	187	+ "train_split_load_fp32": [10000, 2, 100, 1000000, 1, 1, 6128, 1, 2, 3872, 2, 0],
32	- }	188	+}
		189	+
33		190
34	def main(case_name):	191	def main(case_name):
35	data = TILING_CASE_LIST.get(case_name)	192	data = TILING_CASE_LIST.get(case_name)
	@@ -39,6 +196,6 @@ def main(case_name):
39	tiling_data.tofile(tiling_file)	196	tiling_data.tofile(tiling_file)
40		197
41		198
42	-if __name__ == '__main__':	199	+if __name__ == "__main__":
43	case_name = sys.argv[1]	200	case_name = sys.argv[1]
44	main(case_name)	201	main(case_name)

Mnorm/batch_norm_grad_v3/tests/ut/op_kernel/batch_norm_grad_v3_tiling_def.h+6-7

	@@ -1,12 +1,11 @@
1	/**	1	/**
2	- * This program is free software, you can redistribute it and/or modify.
3	* Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	* Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	- * This file is a part of the CANN Open Software.	3	+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	- * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+ * CANN Open Software License Agreement Version 2.0 (the "License").
6	* Please refer to the License for details. You may not use this file except in compliance with the License.	5	* Please refer to the License for details. You may not use this file except in compliance with the License.
7	- * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING	6	+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
8	- * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. See LICENSE in the root of	7	+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
9	- * the software repository for the full text of the License.	8	+ * See LICENSE in the root of the software repository for the full text of the License.
10	*/	9	*/
11		10
12	/*!	11	/*!
	@@ -259,4 +258,4 @@ inline void InitTilingData(uint8_t* tiling, T* const_data)
259	tiling_struct tiling_data; \	258	tiling_struct tiling_data; \
260	InitTilingData<tiling_struct>(tiling_arg, &tiling_data)	259	InitTilingData<tiling_struct>(tiling_arg, &tiling_data)
261		260
262	-#endif	261	+#endif

Mnorm/batch_norm_grad_v3/tests/ut/op_kernel/test_batch_norm_grad_v3.cpp+5-6

	@@ -1,12 +1,11 @@
1	/**	1	/**
2	- * This program is free software, you can redistribute it and/or modify.
3	* Copyright (c) 2025 Huawei Technologies Co., Ltd.	2	* Copyright (c) 2025 Huawei Technologies Co., Ltd.
4	- * This file is a part of the CANN Open Software.	3	+ * This program is free software, you can redistribute it and/or modify it under the terms and conditions of
5	- * Licensed under CANN Open Software License Agreement Version 2.0 (the "License").	4	+ * CANN Open Software License Agreement Version 2.0 (the "License").
6	* Please refer to the License for details. You may not use this file except in compliance with the License.	5	* Please refer to the License for details. You may not use this file except in compliance with the License.
7	- * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING	6	+ * THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
8	- * BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. See LICENSE in the root of	7	+ * INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
9	- * the software repository for the full text of the License.	8	+ * See LICENSE in the root of the software repository for the full text of the License.
10	*/	9	*/
11		10
12	/*!	11	/*!