==================================================Ascend ============================= test session starts ============================== platform linux -- Python 3.9.19, pytest-6.2.5, py-1.11.0, pluggy-1.5.0 rootdir: /home/jenkins/mindspore/testcases/testcases/tests/st/mint, configfile: ../../../../../../sault/virtual_test/virtualenv_002/sault/config/pytest.ini plugins: mock-3.14.0, hydra-core-1.3.2, forked-1.6.0, anyio-4.9.0, xdist-1.32.0 collected 2 items test_permute.py . [hook] pytest_runtest_teardown:test_permute_functional_interface[pynative] tests/st/mint/test_permute.py::test_permute_functional_interface[pynative],max_mem:2.0M TotalTime = 1.76013, [30] [bootstrap]: 0.00086064 [type_inference]: 1.5546 [event_method]: 2.148e-05 [auto_monad]: 0.00028576 [graph_reusing]: 6.96999e-06 [pre_auto_parallel]: 1.722e-05 [py_interpret_to_execute]: 0.00047076 [rewriter_before_opt_a]: 0.00017347 [expand_dump_flag]: 4.77e-06 [jit_opt_a]: 0.141383, [2] [Cycle 1]: 0.0513513, [27] [switch_simplify]: 0.00011493 [loop_unroll]: 2.811e-05 [a_1]: 0.0250007 [with_stream_mark]: 6.182e-05 [recompute_prepare]: 2.586e-05 [updatestate_depend_eliminate]: 9.62999e-06 [updatestate_assign_eliminate]: 6.222e-05 [updatestate_loads_eliminate]: 5.86e-06 [parameter_eliminate]: 3.11001e-06 [specialize_transform]: 1.317e-05 [updatestate_useless_node_eliminater]: 2.93e-05 [accelerated_algorithm]: 1.284e-05 [meta_shard_fg_expand]: 5.12e-06 [get_grad_eliminate_]: 1.037e-05 [merge_forward]: 7.21001e-06 [cell_reuse_recompute_pass]: 4.61002e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.297e-05 [j_node_and_user_rematch]: 1.687e-05 [meta_fg_expand]: 4.96002e-06 [replace_old_param]: 1.834e-05 [inline_without_move]: 9.40001e-06 [renormalize]: 0.0252725 [add_forward_monad_depend]: 2.674e-05 [auto_monad_grad]: 3.83999e-06 [auto_monad_eliminator]: 4.375e-05 [cse]: 7.625e-05 [replace_applicator]: 4.123e-05 [Cycle 2]: 0.00066726, [27] [switch_simplify]: 1.225e-05 [loop_unroll]: 1.155e-05 [a_1]: 0.00024788 [with_stream_mark]: 2.856e-05 [recompute_prepare]: 1.323e-05 [updatestate_depend_eliminate]: 6.92002e-06 [updatestate_assign_eliminate]: 6.46999e-06 [updatestate_loads_eliminate]: 4.48999e-06 [parameter_eliminate]: 2.37999e-06 [specialize_transform]: 9.86e-06 [updatestate_useless_node_eliminater]: 1.33e-05 [accelerated_algorithm]: 1.054e-05 [meta_shard_fg_expand]: 2.74999e-06 [get_grad_eliminate_]: 8.60999e-06 [merge_forward]: 8.47e-06 [cell_reuse_recompute_pass]: 5.19e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.461e-05 [j_node_and_user_rematch]: 1.632e-05 [meta_fg_expand]: 3.08e-06 [replace_old_param]: 1.541e-05 [inline_without_move]: 8.69998e-06 [renormalize]: 7.99773e-08 [add_forward_monad_depend]: 2.80002e-06 [auto_monad_grad]: 1.92999e-06 [auto_monad_eliminator]: 1.701e-05 [cse]: 2.785e-05 [replace_applicator]: 8.59e-06 [py_interpret_to_execute_after_opt_a]: 2.624e-05 [rewriter_after_opt_a]: 0.00071715 [convert_after_rewriter]: 8.591e-05 [order_py_execute_after_rewriter]: 8.84998e-06 [mutable_eliminate]: 0.0009545 [jit_opt_b]: 9.034e-05, [1] [Cycle 1]: 7.961e-05, [2] [frontend_op_eliminate]: 3.308e-05 [inline_after_opt_a]: 3.081e-05 [cconv]: 4.514e-05 [loop_unroll]: 0.00053474 [jit_opt_after_cconv]: 0.029067, [1] [Cycle 1]: 0.0290557, [11] [c_1]: 0.0287211 [parameter_eliminate]: 1.096e-05 [updatestate_depend_eliminate]: 2.962e-05 [updatestate_assign_eliminate]: 8.31002e-06 [updatestate_loads_eliminate]: 5.41002e-06 [cse]: 7.008e-05 [call_graph_tuple_transform]: 5.423e-05 [tuple_list_get_item_eliminator]: 1.137e-05 [none_parameter_eliminate]: 1.91e-06 [renormalize]: 1.02e-06 [switch_simplify]: 1.084e-05 [remove_dup_value]: 2.696e-05 [partial_unused_args_eliminate]: 2.90998e-06 [environ_conv]: 3.534e-05 [add_recomputation]: 0.00016119 [cse_after_recomputation]: 4.134e-05, [1] [Cycle 1]: 2.923e-05, [1] [cse]: 2.189e-05 [auto_monad_reorder]: 4.103e-05 [get_jit_bprop_graph]: 2.70002e-06 [rewriter_after_jit_bprop_graph]: 6.86999e-06 [opt_after_jit_grad]: 0.00094677 [symbol_engine_optimizer]: 0.00010625, [1] [Cycle 1]: 9.804e-05, [6] [build]: 8.28001e-06 [elim_shapecalc]: 1.228e-05 [elim_not_effective]: 2.273e-05 [opt_reshape]: 1.032e-05 [fold_const_symbol]: 1.466e-05 [renormalize]: 1.80007e-07 [validate]: 0.00023757 Sums bootstrap : 0.000861s : 0.05% type_inference : 1.554599s : 94.75% event_method : 0.000021s : 0.00% auto_monad : 0.000286s : 0.02% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000017s : 0.00% py_interpret_to_execute : 0.000471s : 0.03% rewriter_before_opt_a : 0.000173s : 0.01% expand_dump_flag : 0.000005s : 0.00% jit_opt_a.switch_simplify : 0.000127s : 0.01% jit_opt_a.loop_unroll : 0.000040s : 0.00% jit_opt_a.a_1 : 0.025249s : 1.54% jit_opt_a.with_stream_mark : 0.000090s : 0.01% jit_opt_a.recompute_prepare : 0.000039s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000017s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000069s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000005s : 0.00% jit_opt_a.specialize_transform : 0.000023s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000043s : 0.00% jit_opt_a.accelerated_algorithm : 0.000023s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000008s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000019s : 0.00% jit_opt_a.merge_forward : 0.000016s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000010s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000058s : 0.00% jit_opt_a.j_node_and_user_rematch : 0.000033s : 0.00% jit_opt_a.meta_fg_expand : 0.000008s : 0.00% jit_opt_a.replace_old_param : 0.000034s : 0.00% jit_opt_a.inline_without_move : 0.000018s : 0.00% jit_opt_a.renormalize : 0.025273s : 1.54% jit_opt_a.add_forward_monad_depend : 0.000030s : 0.00% jit_opt_a.auto_monad_grad : 0.000006s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000061s : 0.00% jit_opt_a.cse : 0.000104s : 0.01% jit_opt_a.replace_applicator : 0.000050s : 0.00% py_interpret_to_execute_after_opt_a : 0.000026s : 0.00% rewriter_after_opt_a : 0.000717s : 0.04% convert_after_rewriter : 0.000086s : 0.01% order_py_execute_after_rewriter : 0.000009s : 0.00% mutable_eliminate : 0.000955s : 0.06% jit_opt_b.frontend_op_eliminate : 0.000033s : 0.00% jit_opt_b.inline_after_opt_a : 0.000031s : 0.00% cconv : 0.000045s : 0.00% loop_unroll : 0.000535s : 0.03% jit_opt_after_cconv.c_1 : 0.028721s : 1.75% jit_opt_after_cconv.parameter_eliminate : 0.000011s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000030s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000008s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000070s : 0.00% jit_opt_after_cconv.call_graph_tuple_transform : 0.000054s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000011s : 0.00% jit_opt_after_cconv.none_parameter_eliminate : 0.000002s : 0.00% jit_opt_after_cconv.renormalize : 0.000001s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000011s : 0.00% remove_dup_value : 0.000027s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000035s : 0.00% add_recomputation : 0.000161s : 0.01% cse_after_recomputation.cse : 0.000022s : 0.00% auto_monad_reorder : 0.000041s : 0.00% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000007s : 0.00% opt_after_jit_grad : 0.000947s : 0.06% symbol_engine_optimizer.build : 0.000008s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000012s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000023s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000010s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000015s : 0.00% symbol_engine_optimizer.renormalize : 0.000000s : 0.00% validate : 0.000238s : 0.01% Time group info: ------[substitution.] 0.000285 45 4.93% : 0.000014s : 2: substitution.depend_value_elim 1.26% : 0.000004s : 4: substitution.elim_not_effective 0.80% : 0.000002s : 4: substitution.fold_const_symbol 4.01% : 0.000011s : 6: substitution.graph_param_transform 65.58% : 0.000187s : 3: substitution.inline 2.45% : 0.000007s : 8: substitution.j_node_and_user_rematch 3.34% : 0.000009s : 8: substitution.remove_not_recompute_node 4.32% : 0.000012s : 2: substitution.replace_old_param 6.75% : 0.000019s : 3: substitution.updatestate_pure_node_eliminater 6.56% : 0.000019s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 1.554352 2 99.88% : 1.552449s : 1: type_inference.infer 0.12% : 0.001902s : 1: type_inference.specialize ------[replace.] 0.000039 3 100.00% : 0.000039s : 3: replace.inline ------[match.] 0.000184 3 100.00% : 0.000184s : 3: match.inline ------[predicate.] 0.000219 970 1.48% : 0.000003s : 14: predicate.accumulaten_eliminater 1.55% : 0.000003s : 6: predicate.ad_related_special_op_eliminate 1.00% : 0.000002s : 14: predicate.addn_check_dump 1.13% : 0.000002s : 14: predicate.addn_zero_filter 2.68% : 0.000006s : 14: predicate.arithmetic_simplify 1.37% : 0.000003s : 14: predicate.cast_eliminate 0.51% : 0.000001s : 6: predicate.check_bprop_eliminate 0.94% : 0.000002s : 14: predicate.compare_switch_simplify 1.40% : 0.000003s : 14: predicate.depend_value_elim 0.88% : 0.000002s : 14: predicate.dict_get_item_const_eliminator 1.24% : 0.000003s : 14: predicate.dict_get_item_eliminator 1.64% : 0.000004s : 14: predicate.dict_set_item_eliminator 0.95% : 0.000002s : 6: predicate.dumpgradient_eliminate 0.47% : 0.000001s : 6: predicate.elim_not_effective 0.63% : 0.000001s : 6: predicate.elim_shapecalc_of_broadcastargs 0.98% : 0.000002s : 14: predicate.environ_add_const_eliminate 0.88% : 0.000002s : 14: predicate.environ_get_add_eliminate 0.84% : 0.000002s : 14: predicate.environ_get_depend_swap 1.24% : 0.000003s : 14: predicate.environ_get_eliminate 1.02% : 0.000002s : 14: predicate.environ_get_set_eliminate 0.25% : 0.000001s : 6: predicate.fold_const_symbol 1.26% : 0.000003s : 12: predicate.get_grad_eliminate 0.37% : 0.000001s : 6: predicate.graph_param_transform 5.16% : 0.000011s : 29: predicate.inline 0.98% : 0.000002s : 12: predicate.inline_without_move 0.42% : 0.000001s : 12: predicate.j_node_and_user_rematch 2.35% : 0.000005s : 12: predicate.less_batch_normalization 1.19% : 0.000003s : 14: predicate.list_to_tuple_eliminator_ 1.80% : 0.000004s : 20: predicate.load_eliminater 1.40% : 0.000003s : 6: predicate.loop_unroll_after_grad 2.70% : 0.000006s : 30: predicate.loop_unroll_before_grad 1.95% : 0.000004s : 20: predicate.make_slice_get_slice_eliminator 1.01% : 0.000002s : 14: predicate.merge_addn 0.79% : 0.000002s : 14: predicate.minmaximum_grad 2.09% : 0.000005s : 6: predicate.mutable_eliminate 0.55% : 0.000001s : 6: predicate.opt_reshape 1.68% : 0.000004s : 20: predicate.partial_eliminate 1.31% : 0.000003s : 14: predicate.print_const_string_wrapper 1.51% : 0.000003s : 14: predicate.reduce_eliminate 1.36% : 0.000003s : 14: predicate.redundant_stop_gradient_eliminater 0.73% : 0.000002s : 12: predicate.remove_not_recompute_node 2.39% : 0.000005s : 26: predicate.replace_applicator 0.88% : 0.000002s : 12: predicate.replace_old_param 0.30% : 0.000001s : 6: predicate.reset_defer_inline 1.31% : 0.000003s : 14: predicate.reshape_eliminate 1.18% : 0.000003s : 14: predicate.row_tensor_add_zeros_like 0.71% : 0.000002s : 6: predicate.row_tensor_eliminate 1.11% : 0.000002s : 14: predicate.same_eliminate 0.76% : 0.000002s : 12: predicate.set_cell_output_no_recompute 1.25% : 0.000003s : 12: predicate.special_op_eliminate 1.11% : 0.000002s : 12: predicate.specialize_transform 1.26% : 0.000003s : 14: predicate.split_environ_get_set_with_tuple_value 1.53% : 0.000003s : 14: predicate.stack_unstack_eliminate 1.18% : 0.000003s : 6: predicate.switch_call_monad_eliminater 1.54% : 0.000003s : 17: predicate.switch_defer_inline 1.52% : 0.000003s : 17: predicate.switch_layer_defer_inline 5.62% : 0.000012s : 53: predicate.switch_simplify 2.75% : 0.000006s : 14: predicate.tile_eliminate 1.22% : 0.000003s : 14: predicate.transpose_eliminate 1.40% : 0.000003s : 14: predicate.tuple_list_convert_item_index_to_positive 1.26% : 0.000003s : 14: predicate.tuple_list_get_item_depend_reorder 3.42% : 0.000007s : 26: predicate.tuple_list_get_item_eliminator 2.06% : 0.000005s : 14: predicate.tuple_list_set_item_eliminator 1.05% : 0.000002s : 14: predicate.tuple_to_list_eliminator_ 1.63% : 0.000004s : 20: predicate.updatestate_pure_node_eliminater 5.29% : 0.000012s : 32: predicate.updatestate_useless_node_eliminater 1.47% : 0.000003s : 14: predicate.value_based_eliminate 0.40% : 0.000001s : 6: predicate.virtual_view_grad_eliminate 0.73% : 0.000002s : 6: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.003455 23 77.98% : 0.002695s : 18: func_graph_cloner_run.FuncGraphClonerGraph 22.02% : 0.000761s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 1.810819 72 0.01% : 0.000166s : 1: add_recomputation 0.02% : 0.000293s : 1: auto_monad 0.00% : 0.000044s : 1: auto_monad_reorder 0.05% : 0.000895s : 1: bootstrap 0.00% : 0.000048s : 1: cconv 0.01% : 0.000093s : 1: convert_after_rewriter 0.00% : 0.000044s : 1: cse_after_recomputation 0.00% : 0.000038s : 1: environ_conv 0.00% : 0.000027s : 1: event_method 0.00% : 0.000007s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 7.81% : 0.141389s : 1: jit_opt_a 1.61% : 0.029075s : 1: jit_opt_after_cconv 0.01% : 0.000094s : 1: jit_opt_b 0.03% : 0.000546s : 1: loop_unroll 0.05% : 0.000971s : 1: mutable_eliminate 1.42% : 0.025644s : 26: opt.transform.jit_opt_a 1.59% : 0.028785s : 4: opt.transform.jit_opt_after_cconv 0.00% : 0.000053s : 4: opt.transform.jit_opt_b 0.00% : 0.000019s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000028s : 1: opt.transform.mutable_eliminate 0.00% : 0.000041s : 1: opt.transform.opt_after_jit_grad 0.00% : 0.000056s : 4: opt.transform.symbol_engine_opt 0.05% : 0.000959s : 1: opt_after_jit_grad 0.00% : 0.000012s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000020s : 1: pre_auto_parallel 0.03% : 0.000485s : 1: py_interpret_to_execute 0.00% : 0.000029s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000030s : 1: remove_dup_value 0.12% : 0.002140s : 1: renormalize.infer 1.28% : 0.023109s : 1: renormalize.specialize 0.00% : 0.000009s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000730s : 1: rewriter_after_opt_a 0.01% : 0.000181s : 1: rewriter_before_opt_a 0.01% : 0.000109s : 1: symbol_engine_optimizer 85.85% : 1.554631s : 1: type_inference . [hook] pytest_runtest_teardown:test_permute_functional_interface[KBK] tests/st/mint/test_permute.py::test_permute_functional_interface[KBK],max_mem:4.0M =============================== warnings summary =============================== ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/classifier/transdata/transdata_classifier.py:222: DeprecationWarning: invalid escape sequence \B """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:143: DeprecationWarning: invalid escape sequence \c """ ../../../../../../../../usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170 /usr/local/Ascend/cann-8.5.0/python/site-packages/tbe/dsl/unify_schedule/vector/transdata/common/graph/transdata_graph_info.py:170: DeprecationWarning: invalid escape sequence \c """ ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for type is zero. setattr(self, word, getattr(machar, word).flat[0]) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2.py:57: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad.py:56: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/batchnorm_fold2_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("batchnorm_fold2_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:51: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/correction_mul_grad.py:143: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("correction_mul_grad_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad.py:92: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perlayer_grad_reduce.py:49: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perlayer_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad.py:91: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_learned_scale_quant_perchannel_grad_reduce.py:48: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_learned_scale_quant_perchannel_grad_d_reduce") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel.py:52: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perchannel_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_perchannel_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer.py:54: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/fake_quant_perlayer_grad.py:81: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("fake_quant_per_layer_grad") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perchannel.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perchannel") ../../../../../../anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50 /home/jenkins/anaconda3/envs/ci39/lib/python3.9/site-packages/mindspore/ops/_op_impl/_custom_op/minmax_update_perlayer.py:50: DeprecationWarning: te_fusion.fusion_manager.fusion_manager.register is deprecated,please replace it with tbe.common.register.register_op_compute @fusion_manager.register("minmax_update_perlayer") -- Docs: https://docs.pytest.org/en/stable/warnings.html ================== 2 passed, 25 warnings in 279.61s (0:04:39) ==================