==================================================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_006/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_unsqueeze.py . [hook] pytest_runtest_teardown:test_unsqueeze_functional_interface[pynative] tests/st/mint/test_unsqueeze.py::test_unsqueeze_functional_interface[pynative],max_mem:2.0M TotalTime = 0.598192, [30] [bootstrap]: 0.0009059 [type_inference]: 0.468698 [event_method]: 1.7e-05 [auto_monad]: 0.00022612 [graph_reusing]: 7e-06 [pre_auto_parallel]: 1.214e-05 [py_interpret_to_execute]: 2.726e-05 [rewriter_before_opt_a]: 0.00014535 [expand_dump_flag]: 3.41999e-06 [jit_opt_a]: 0.124226, [2] [Cycle 1]: 0.114482, [27] [switch_simplify]: 0.00011908 [loop_unroll]: 2.417e-05 [a_1]: 0.00054494 [with_stream_mark]: 3.221e-05 [recompute_prepare]: 1.075e-05 [updatestate_depend_eliminate]: 6.88e-06 [updatestate_assign_eliminate]: 5.39e-06 [updatestate_loads_eliminate]: 4.62e-06 [parameter_eliminate]: 1.86e-06 [specialize_transform]: 8.45999e-06 [updatestate_useless_node_eliminater]: 1.106e-05 [accelerated_algorithm]: 1.193e-05 [meta_shard_fg_expand]: 2.68e-06 [get_grad_eliminate_]: 7.79997e-06 [merge_forward]: 6.07999e-06 [cell_reuse_recompute_pass]: 1.17999e-06 [cell_reuse_handle_not_recompute_node_pass]: 3.565e-05 [j_node_and_user_rematch]: 1.364e-05 [meta_fg_expand]: 3.36999e-06 [replace_old_param]: 1.29e-05 [inline_without_move]: 8.08001e-06 [renormalize]: 0.113125 [add_forward_monad_depend]: 2.363e-05 [auto_monad_grad]: 3.41001e-06 [auto_monad_eliminator]: 4.06e-05 [cse]: 7.525e-05 [replace_applicator]: 3.419e-05 [Cycle 2]: 0.00060175, [27] [switch_simplify]: 1.039e-05 [loop_unroll]: 9.21998e-06 [a_1]: 0.00021083 [with_stream_mark]: 2.087e-05 [recompute_prepare]: 1.078e-05 [updatestate_depend_eliminate]: 6.44999e-06 [updatestate_assign_eliminate]: 5.52001e-06 [updatestate_loads_eliminate]: 5.55001e-06 [parameter_eliminate]: 2.79999e-06 [specialize_transform]: 9.90002e-06 [updatestate_useless_node_eliminater]: 1.081e-05 [accelerated_algorithm]: 8.01001e-06 [meta_shard_fg_expand]: 2.61999e-06 [get_grad_eliminate_]: 8.03999e-06 [merge_forward]: 5.84999e-06 [cell_reuse_recompute_pass]: 4.03999e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.133e-05 [j_node_and_user_rematch]: 1.561e-05 [meta_fg_expand]: 3.71999e-06 [replace_old_param]: 1.524e-05 [inline_without_move]: 8.32e-06 [renormalize]: 5.9983e-08 [add_forward_monad_depend]: 2.34001e-06 [auto_monad_grad]: 1.61998e-06 [auto_monad_eliminator]: 1.408e-05 [cse]: 1.938e-05 [replace_applicator]: 7.77002e-06 [py_interpret_to_execute_after_opt_a]: 2.212e-05 [rewriter_after_opt_a]: 0.00070187 [convert_after_rewriter]: 1.473e-05 [order_py_execute_after_rewriter]: 7.59002e-06 [mutable_eliminate]: 0.00082253 [jit_opt_b]: 7.589e-05, [1] [Cycle 1]: 6.567e-05, [2] [frontend_op_eliminate]: 2.488e-05 [inline_after_opt_a]: 2.625e-05 [cconv]: 3.642e-05 [loop_unroll]: 0.00049274 [jit_opt_after_cconv]: 0.00022622, [1] [Cycle 1]: 0.00021925, [11] [c_1]: 5.035e-05 [parameter_eliminate]: 4.33001e-06 [updatestate_depend_eliminate]: 1.098e-05 [updatestate_assign_eliminate]: 5.12e-06 [updatestate_loads_eliminate]: 4.69002e-06 [cse]: 4.034e-05 [call_graph_tuple_transform]: 2.488e-05 [tuple_list_get_item_eliminator]: 9.66e-06 [none_parameter_eliminate]: 1.58002e-06 [renormalize]: 9.89996e-07 [switch_simplify]: 9.11002e-06 [remove_dup_value]: 1.873e-05 [partial_unused_args_eliminate]: 3.04001e-06 [environ_conv]: 2.401e-05 [add_recomputation]: 0.00014448 [cse_after_recomputation]: 3.278e-05, [1] [Cycle 1]: 2.52e-05, [1] [cse]: 1.69e-05 [auto_monad_reorder]: 3.929e-05 [get_jit_bprop_graph]: 3.01001e-06 [rewriter_after_jit_bprop_graph]: 4.22998e-06 [opt_after_jit_grad]: 0.00059868 [symbol_engine_optimizer]: 0.00010417, [1] [Cycle 1]: 9.581e-05, [6] [build]: 5.11002e-06 [elim_shapecalc]: 1.122e-05 [elim_not_effective]: 2.265e-05 [opt_reshape]: 9.52999e-06 [fold_const_symbol]: 1.425e-05 [renormalize]: 6.80011e-07 [validate]: 0.00017093 Sums bootstrap : 0.000906s : 0.15% type_inference : 0.468698s : 79.70% event_method : 0.000017s : 0.00% auto_monad : 0.000226s : 0.04% graph_reusing : 0.000007s : 0.00% pre_auto_parallel : 0.000012s : 0.00% py_interpret_to_execute : 0.000027s : 0.00% rewriter_before_opt_a : 0.000145s : 0.02% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000129s : 0.02% jit_opt_a.loop_unroll : 0.000033s : 0.01% jit_opt_a.a_1 : 0.000756s : 0.13% jit_opt_a.with_stream_mark : 0.000053s : 0.01% jit_opt_a.recompute_prepare : 0.000022s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000011s : 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 : 0.000018s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000022s : 0.00% jit_opt_a.accelerated_algorithm : 0.000020s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000005s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000016s : 0.00% jit_opt_a.merge_forward : 0.000012s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000005s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000057s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000029s : 0.00% jit_opt_a.meta_fg_expand : 0.000007s : 0.00% jit_opt_a.replace_old_param : 0.000028s : 0.00% jit_opt_a.inline_without_move : 0.000016s : 0.00% jit_opt_a.renormalize : 0.113125s : 19.24% jit_opt_a.add_forward_monad_depend : 0.000026s : 0.00% jit_opt_a.auto_monad_grad : 0.000005s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000055s : 0.01% jit_opt_a.cse : 0.000095s : 0.02% jit_opt_a.replace_applicator : 0.000042s : 0.01% py_interpret_to_execute_after_opt_a : 0.000022s : 0.00% rewriter_after_opt_a : 0.000702s : 0.12% convert_after_rewriter : 0.000015s : 0.00% order_py_execute_after_rewriter : 0.000008s : 0.00% mutable_eliminate : 0.000823s : 0.14% jit_opt_b.frontend_op_eliminate : 0.000025s : 0.00% jit_opt_b.inline_after_opt_a : 0.000026s : 0.00% cconv : 0.000036s : 0.01% loop_unroll : 0.000493s : 0.08% jit_opt_after_cconv.c_1 : 0.000050s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000004s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000011s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000040s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000025s : 0.00% jit_opt_after_cconv.tuple_list_get_item_eliminator : 0.000010s : 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 : 0.000009s : 0.00% remove_dup_value : 0.000019s : 0.00% partial_unused_args_eliminate : 0.000003s : 0.00% environ_conv : 0.000024s : 0.00% add_recomputation : 0.000144s : 0.02% cse_after_recomputation.cse : 0.000017s : 0.00% auto_monad_reorder : 0.000039s : 0.01% get_jit_bprop_graph : 0.000003s : 0.00% rewriter_after_jit_bprop_graph : 0.000004s : 0.00% opt_after_jit_grad : 0.000599s : 0.10% symbol_engine_optimizer.build : 0.000005s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000011s : 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 : 0.000014s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000171s : 0.03% Time group info: ------[substitution.] 0.000266 44 4.67% : 0.000012s : 2: substitution.depend_value_elim 1.33% : 0.000004s : 4: substitution.elim_not_effective 0.72% : 0.000002s : 4: substitution.fold_const_symbol 2.92% : 0.000008s : 5: substitution.graph_param_transform 67.13% : 0.000178s : 3: substitution.inline 2.32% : 0.000006s : 8: substitution.j_node_and_user_rematch 7.73% : 0.000021s : 8: substitution.remove_not_recompute_node 3.62% : 0.000010s : 2: substitution.replace_old_param 4.97% : 0.000013s : 3: substitution.updatestate_pure_node_eliminater 4.59% : 0.000012s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.468618 2 99.83% : 0.467832s : 1: type_inference.infer 0.17% : 0.000786s : 1: type_inference.specialize ------[replace.] 0.000038 3 100.00% : 0.000038s : 3: replace.inline ------[match.] 0.000176 3 100.00% : 0.000176s : 3: match.inline ------[predicate.] 0.000198 825 1.15% : 0.000002s : 12: predicate.accumulaten_eliminater 1.45% : 0.000003s : 5: predicate.ad_related_special_op_eliminate 1.00% : 0.000002s : 12: predicate.addn_check_dump 1.04% : 0.000002s : 12: predicate.addn_zero_filter 1.80% : 0.000004s : 12: predicate.arithmetic_simplify 1.12% : 0.000002s : 12: predicate.cast_eliminate 0.43% : 0.000001s : 5: predicate.check_bprop_eliminate 0.93% : 0.000002s : 12: predicate.compare_switch_simplify 1.01% : 0.000002s : 12: predicate.depend_value_elim 0.93% : 0.000002s : 12: predicate.dict_get_item_const_eliminator 1.02% : 0.000002s : 12: predicate.dict_get_item_eliminator 1.11% : 0.000002s : 12: predicate.dict_set_item_eliminator 0.67% : 0.000001s : 5: predicate.dumpgradient_eliminate 0.42% : 0.000001s : 5: predicate.elim_not_effective 0.64% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.01% : 0.000002s : 12: predicate.environ_add_const_eliminate 0.83% : 0.000002s : 12: predicate.environ_get_add_eliminate 0.91% : 0.000002s : 12: predicate.environ_get_depend_swap 0.92% : 0.000002s : 12: predicate.environ_get_eliminate 0.96% : 0.000002s : 12: predicate.environ_get_set_eliminate 0.24% : 0.000000s : 5: predicate.fold_const_symbol 1.07% : 0.000002s : 10: predicate.get_grad_eliminate 0.26% : 0.000001s : 5: predicate.graph_param_transform 4.34% : 0.000009s : 25: predicate.inline 0.99% : 0.000002s : 10: predicate.inline_without_move 0.40% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.37% : 0.000003s : 10: predicate.less_batch_normalization 1.25% : 0.000002s : 12: predicate.list_to_tuple_eliminator_ 1.26% : 0.000002s : 17: predicate.load_eliminater 1.23% : 0.000002s : 5: predicate.loop_unroll_after_grad 2.41% : 0.000005s : 25: predicate.loop_unroll_before_grad 1.62% : 0.000003s : 17: predicate.make_slice_get_slice_eliminator 1.08% : 0.000002s : 12: predicate.merge_addn 0.92% : 0.000002s : 12: predicate.minmaximum_grad 1.38% : 0.000003s : 5: predicate.mutable_eliminate 0.53% : 0.000001s : 5: predicate.opt_reshape 1.64% : 0.000003s : 17: predicate.partial_eliminate 0.95% : 0.000002s : 12: predicate.print_const_string_wrapper 19.74% : 0.000039s : 12: predicate.reduce_eliminate 0.99% : 0.000002s : 12: predicate.redundant_stop_gradient_eliminater 0.68% : 0.000001s : 10: predicate.remove_not_recompute_node 1.57% : 0.000003s : 22: predicate.replace_applicator 0.74% : 0.000001s : 10: predicate.replace_old_param 0.80% : 0.000002s : 5: predicate.reset_defer_inline 1.38% : 0.000003s : 12: predicate.reshape_eliminate 1.00% : 0.000002s : 12: predicate.row_tensor_add_zeros_like 0.73% : 0.000001s : 5: predicate.row_tensor_eliminate 1.08% : 0.000002s : 12: predicate.same_eliminate 0.69% : 0.000001s : 10: predicate.set_cell_output_no_recompute 0.97% : 0.000002s : 10: predicate.special_op_eliminate 1.08% : 0.000002s : 10: predicate.specialize_transform 1.06% : 0.000002s : 12: predicate.split_environ_get_set_with_tuple_value 0.96% : 0.000002s : 12: predicate.stack_unstack_eliminate 0.44% : 0.000001s : 5: predicate.switch_call_monad_eliminater 1.41% : 0.000003s : 15: predicate.switch_defer_inline 1.28% : 0.000003s : 15: predicate.switch_layer_defer_inline 4.83% : 0.000010s : 45: predicate.switch_simplify 1.25% : 0.000002s : 12: predicate.tile_eliminate 0.96% : 0.000002s : 12: predicate.transpose_eliminate 1.17% : 0.000002s : 12: predicate.tuple_list_convert_item_index_to_positive 0.98% : 0.000002s : 12: predicate.tuple_list_get_item_depend_reorder 3.26% : 0.000006s : 22: predicate.tuple_list_get_item_eliminator 1.18% : 0.000002s : 12: predicate.tuple_list_set_item_eliminator 1.06% : 0.000002s : 12: predicate.tuple_to_list_eliminator_ 1.39% : 0.000003s : 17: predicate.updatestate_pure_node_eliminater 2.70% : 0.000005s : 27: predicate.updatestate_useless_node_eliminater 1.34% : 0.000003s : 12: predicate.value_based_eliminate 0.39% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 0.57% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000361 6 6.52% : 0.000024s : 1: func_graph_cloner_run.FuncGraphClonerGraph 93.48% : 0.000337s : 5: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.712305 72 0.02% : 0.000148s : 1: add_recomputation 0.03% : 0.000232s : 1: auto_monad 0.01% : 0.000042s : 1: auto_monad_reorder 0.13% : 0.000937s : 1: bootstrap 0.01% : 0.000039s : 1: cconv 0.00% : 0.000020s : 1: convert_after_rewriter 0.00% : 0.000035s : 1: cse_after_recomputation 0.00% : 0.000027s : 1: environ_conv 0.00% : 0.000022s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000010s : 1: graph_reusing 17.44% : 0.124230s : 1: jit_opt_a 0.03% : 0.000229s : 1: jit_opt_after_cconv 0.01% : 0.000080s : 1: jit_opt_b 0.07% : 0.000503s : 1: loop_unroll 0.12% : 0.000837s : 1: mutable_eliminate 0.15% : 0.001090s : 26: opt.transform.jit_opt_a 0.01% : 0.000090s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000043s : 4: opt.transform.jit_opt_b 0.00% : 0.000018s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000028s : 1: opt.transform.mutable_eliminate 0.01% : 0.000036s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000054s : 4: opt.transform.symbol_engine_opt 0.09% : 0.000635s : 1: opt_after_jit_grad 0.00% : 0.000010s : 1: order_py_execute_after_rewriter 0.00% : 0.000005s : 1: partial_unused_args_eliminate 0.00% : 0.000014s : 1: pre_auto_parallel 0.00% : 0.000030s : 1: py_interpret_to_execute 0.00% : 0.000025s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000022s : 1: remove_dup_value 0.08% : 0.000535s : 1: renormalize.infer 15.80% : 0.112573s : 1: renormalize.specialize 0.00% : 0.000006s : 1: rewriter_after_jit_bprop_graph 0.10% : 0.000709s : 1: rewriter_after_opt_a 0.02% : 0.000149s : 1: rewriter_before_opt_a 0.02% : 0.000108s : 1: symbol_engine_optimizer 65.80% : 0.468720s : 1: type_inference . [hook] pytest_runtest_teardown:test_unsqueeze_functional_interface[KBK] tests/st/mint/test_unsqueeze.py::test_unsqueeze_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 314.35s (0:05:14) ==================