==================================================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_001/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_chunk.py . [hook] pytest_runtest_teardown:test_chunk_functional_interface[pynative] tests/st/mint/test_chunk.py::test_chunk_functional_interface[pynative],max_mem:2.0M TotalTime = 0.767883, [30] [bootstrap]: 0.00112844 [type_inference]: 0.559697 [event_method]: 1.552e-05 [auto_monad]: 0.00015447 [graph_reusing]: 5.70001e-06 [pre_auto_parallel]: 1.254e-05 [py_interpret_to_execute]: 0.00034143 [rewriter_before_opt_a]: 7.39e-05 [expand_dump_flag]: 3.37002e-06 [jit_opt_a]: 0.202782, [2] [Cycle 1]: 0.00245259, [27] [switch_simplify]: 6.27e-05 [loop_unroll]: 1.975e-05 [a_1]: 0.00045476 [with_stream_mark]: 3.451e-05 [recompute_prepare]: 1.284e-05 [updatestate_depend_eliminate]: 7.13e-06 [updatestate_assign_eliminate]: 8.84e-06 [updatestate_loads_eliminate]: 4.94003e-06 [parameter_eliminate]: 1.81998e-06 [specialize_transform]: 9.67001e-06 [updatestate_useless_node_eliminater]: 1.306e-05 [accelerated_algorithm]: 9.00001e-06 [meta_shard_fg_expand]: 3.16999e-06 [get_grad_eliminate_]: 8.15e-06 [merge_forward]: 6.97002e-06 [cell_reuse_recompute_pass]: 1.28002e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.449e-05 [j_node_and_user_rematch]: 1.496e-05 [meta_fg_expand]: 3.68999e-06 [replace_old_param]: 1.414e-05 [inline_without_move]: 8.54e-06 [renormalize]: 0.0013537 [add_forward_monad_depend]: 1.775e-05 [auto_monad_grad]: 2.76999e-06 [auto_monad_eliminator]: 2.873e-05 [cse]: 4.841e-05 [replace_applicator]: 2.303e-05 [Cycle 2]: 0.00059241, [27] [switch_simplify]: 9.76003e-06 [loop_unroll]: 8.2e-06 [a_1]: 0.00020723 [with_stream_mark]: 2.463e-05 [recompute_prepare]: 9.31e-06 [updatestate_depend_eliminate]: 7.31999e-06 [updatestate_assign_eliminate]: 4.99998e-06 [updatestate_loads_eliminate]: 4.95001e-06 [parameter_eliminate]: 1.73997e-06 [specialize_transform]: 9.02999e-06 [updatestate_useless_node_eliminater]: 1.194e-05 [accelerated_algorithm]: 8.90001e-06 [meta_shard_fg_expand]: 2.64999e-06 [get_grad_eliminate_]: 8e-06 [merge_forward]: 1.171e-05 [cell_reuse_recompute_pass]: 2.12001e-06 [cell_reuse_handle_not_recompute_node_pass]: 2.166e-05 [j_node_and_user_rematch]: 1.403e-05 [meta_fg_expand]: 3.49001e-06 [replace_old_param]: 1.166e-05 [inline_without_move]: 7.84002e-06 [renormalize]: 9.00181e-08 [add_forward_monad_depend]: 1.99999e-06 [auto_monad_grad]: 1.42e-06 [auto_monad_eliminator]: 1.596e-05 [cse]: 3.161e-05 [replace_applicator]: 1.127e-05 [py_interpret_to_execute_after_opt_a]: 1.998e-05 [rewriter_after_opt_a]: 0.00032912 [convert_after_rewriter]: 1.913e-05 [order_py_execute_after_rewriter]: 8.43001e-06 [mutable_eliminate]: 0.00083425 [jit_opt_b]: 8.276e-05, [1] [Cycle 1]: 7.113e-05, [2] [frontend_op_eliminate]: 2.683e-05 [inline_after_opt_a]: 2.843e-05 [cconv]: 4.141e-05 [loop_unroll]: 0.00055734 [jit_opt_after_cconv]: 0.00025913, [1] [Cycle 1]: 0.00024901, [11] [c_1]: 5.643e-05 [parameter_eliminate]: 6.58e-06 [updatestate_depend_eliminate]: 1.347e-05 [updatestate_assign_eliminate]: 5.91003e-06 [updatestate_loads_eliminate]: 4.86997e-06 [cse]: 4.691e-05 [call_graph_tuple_transform]: 2.781e-05 [tuple_list_get_item_eliminator]: 9.69999e-06 [none_parameter_eliminate]: 1.50001e-06 [renormalize]: 3.69997e-07 [switch_simplify]: 9.91e-06 [remove_dup_value]: 2.69e-05 [partial_unused_args_eliminate]: 3.55998e-06 [environ_conv]: 3.346e-05 [add_recomputation]: 9.201e-05 [cse_after_recomputation]: 5.118e-05, [1] [Cycle 1]: 4.18e-05, [1] [cse]: 2.872e-05 [auto_monad_reorder]: 4.347e-05 [get_jit_bprop_graph]: 2.22001e-06 [rewriter_after_jit_bprop_graph]: 5.20999e-06 [opt_after_jit_grad]: 0.00062132 [symbol_engine_optimizer]: 0.00011301, [1] [Cycle 1]: 0.00010509, [6] [build]: 1.502e-05 [elim_shapecalc]: 1.262e-05 [elim_not_effective]: 2.103e-05 [opt_reshape]: 9.12001e-06 [fold_const_symbol]: 1.4e-05 [renormalize]: 9.79984e-07 [validate]: 9.584e-05 Sums bootstrap : 0.001128s : 0.20% type_inference : 0.559697s : 98.68% event_method : 0.000016s : 0.00% auto_monad : 0.000154s : 0.03% graph_reusing : 0.000006s : 0.00% pre_auto_parallel : 0.000013s : 0.00% py_interpret_to_execute : 0.000341s : 0.06% rewriter_before_opt_a : 0.000074s : 0.01% expand_dump_flag : 0.000003s : 0.00% jit_opt_a.switch_simplify : 0.000072s : 0.01% jit_opt_a.loop_unroll : 0.000028s : 0.00% jit_opt_a.a_1 : 0.000662s : 0.12% jit_opt_a.with_stream_mark : 0.000059s : 0.01% jit_opt_a.recompute_prepare : 0.000022s : 0.00% jit_opt_a.updatestate_depend_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_assign_eliminate : 0.000014s : 0.00% jit_opt_a.updatestate_loads_eliminate : 0.000010s : 0.00% jit_opt_a.parameter_eliminate : 0.000004s : 0.00% jit_opt_a.specialize_transform : 0.000019s : 0.00% jit_opt_a.updatestate_useless_node_eliminater : 0.000025s : 0.00% jit_opt_a.accelerated_algorithm : 0.000018s : 0.00% jit_opt_a.meta_shard_fg_expand : 0.000006s : 0.00% jit_opt_a.get_grad_eliminate_ : 0.000016s : 0.00% jit_opt_a.merge_forward : 0.000019s : 0.00% jit_opt_a.cell_reuse_recompute_pass : 0.000003s : 0.00% jit_opt_a.cell_reuse_handle_not_recompute_node_pass : 0.000046s : 0.01% jit_opt_a.j_node_and_user_rematch : 0.000029s : 0.01% jit_opt_a.meta_fg_expand : 0.000007s : 0.00% jit_opt_a.replace_old_param : 0.000026s : 0.00% jit_opt_a.inline_without_move : 0.000016s : 0.00% jit_opt_a.renormalize : 0.001354s : 0.24% jit_opt_a.add_forward_monad_depend : 0.000020s : 0.00% jit_opt_a.auto_monad_grad : 0.000004s : 0.00% jit_opt_a.auto_monad_eliminator : 0.000045s : 0.01% jit_opt_a.cse : 0.000080s : 0.01% jit_opt_a.replace_applicator : 0.000034s : 0.01% py_interpret_to_execute_after_opt_a : 0.000020s : 0.00% rewriter_after_opt_a : 0.000329s : 0.06% convert_after_rewriter : 0.000019s : 0.00% order_py_execute_after_rewriter : 0.000008s : 0.00% mutable_eliminate : 0.000834s : 0.15% jit_opt_b.frontend_op_eliminate : 0.000027s : 0.00% jit_opt_b.inline_after_opt_a : 0.000028s : 0.01% cconv : 0.000041s : 0.01% loop_unroll : 0.000557s : 0.10% jit_opt_after_cconv.c_1 : 0.000056s : 0.01% jit_opt_after_cconv.parameter_eliminate : 0.000007s : 0.00% jit_opt_after_cconv.updatestate_depend_eliminate : 0.000013s : 0.00% jit_opt_after_cconv.updatestate_assign_eliminate : 0.000006s : 0.00% jit_opt_after_cconv.updatestate_loads_eliminate : 0.000005s : 0.00% jit_opt_after_cconv.cse : 0.000047s : 0.01% jit_opt_after_cconv.call_graph_tuple_transform : 0.000028s : 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 : 0.000000s : 0.00% jit_opt_after_cconv.switch_simplify : 0.000010s : 0.00% remove_dup_value : 0.000027s : 0.00% partial_unused_args_eliminate : 0.000004s : 0.00% environ_conv : 0.000033s : 0.01% add_recomputation : 0.000092s : 0.02% cse_after_recomputation.cse : 0.000029s : 0.01% auto_monad_reorder : 0.000043s : 0.01% get_jit_bprop_graph : 0.000002s : 0.00% rewriter_after_jit_bprop_graph : 0.000005s : 0.00% opt_after_jit_grad : 0.000621s : 0.11% symbol_engine_optimizer.build : 0.000015s : 0.00% symbol_engine_optimizer.elim_shapecalc : 0.000013s : 0.00% symbol_engine_optimizer.elim_not_effective : 0.000021s : 0.00% symbol_engine_optimizer.opt_reshape : 0.000009s : 0.00% symbol_engine_optimizer.fold_const_symbol : 0.000014s : 0.00% symbol_engine_optimizer.renormalize : 0.000001s : 0.00% validate : 0.000096s : 0.02% Time group info: ------[substitution.] 0.000242 43 4.50% : 0.000011s : 2: substitution.depend_value_elim 1.21% : 0.000003s : 4: substitution.elim_not_effective 0.85% : 0.000002s : 4: substitution.fold_const_symbol 3.11% : 0.000008s : 5: substitution.graph_param_transform 71.16% : 0.000172s : 2: substitution.inline 2.68% : 0.000006s : 8: substitution.j_node_and_user_rematch 3.48% : 0.000008s : 8: substitution.remove_not_recompute_node 2.97% : 0.000007s : 2: substitution.replace_old_param 5.26% : 0.000013s : 3: substitution.updatestate_pure_node_eliminater 4.78% : 0.000012s : 5: substitution.updatestate_useless_node_eliminater ------[type_inference.] 0.559610 2 99.83% : 0.558650s : 1: type_inference.infer 0.17% : 0.000960s : 1: type_inference.specialize ------[replace.] 0.000033 2 100.00% : 0.000033s : 2: replace.inline ------[match.] 0.000170 2 100.00% : 0.000170s : 2: match.inline ------[predicate.] 0.000184 767 0.91% : 0.000002s : 11: predicate.accumulaten_eliminater 1.80% : 0.000003s : 5: predicate.ad_related_special_op_eliminate 0.85% : 0.000002s : 11: predicate.addn_check_dump 1.01% : 0.000002s : 11: predicate.addn_zero_filter 1.85% : 0.000003s : 11: predicate.arithmetic_simplify 0.97% : 0.000002s : 11: predicate.cast_eliminate 0.65% : 0.000001s : 5: predicate.check_bprop_eliminate 0.84% : 0.000002s : 11: predicate.compare_switch_simplify 1.14% : 0.000002s : 11: predicate.depend_value_elim 0.83% : 0.000002s : 11: predicate.dict_get_item_const_eliminator 1.05% : 0.000002s : 11: predicate.dict_get_item_eliminator 1.11% : 0.000002s : 11: predicate.dict_set_item_eliminator 1.48% : 0.000003s : 5: predicate.dumpgradient_eliminate 0.43% : 0.000001s : 5: predicate.elim_not_effective 0.66% : 0.000001s : 5: predicate.elim_shapecalc_of_broadcastargs 1.00% : 0.000002s : 11: predicate.environ_add_const_eliminate 0.94% : 0.000002s : 11: predicate.environ_get_add_eliminate 1.06% : 0.000002s : 11: predicate.environ_get_depend_swap 0.91% : 0.000002s : 11: predicate.environ_get_eliminate 1.08% : 0.000002s : 11: predicate.environ_get_set_eliminate 0.23% : 0.000000s : 5: predicate.fold_const_symbol 1.39% : 0.000003s : 10: predicate.get_grad_eliminate 0.40% : 0.000001s : 5: predicate.graph_param_transform 4.89% : 0.000009s : 23: predicate.inline 1.29% : 0.000002s : 10: predicate.inline_without_move 0.44% : 0.000001s : 10: predicate.j_node_and_user_rematch 1.38% : 0.000003s : 10: predicate.less_batch_normalization 1.10% : 0.000002s : 11: predicate.list_to_tuple_eliminator_ 1.56% : 0.000003s : 16: predicate.load_eliminater 2.29% : 0.000004s : 5: predicate.loop_unroll_after_grad 2.20% : 0.000004s : 20: predicate.loop_unroll_before_grad 1.99% : 0.000004s : 16: predicate.make_slice_get_slice_eliminator 0.92% : 0.000002s : 11: predicate.merge_addn 1.00% : 0.000002s : 11: predicate.minmaximum_grad 2.83% : 0.000005s : 5: predicate.mutable_eliminate 0.59% : 0.000001s : 5: predicate.opt_reshape 1.71% : 0.000003s : 16: predicate.partial_eliminate 0.96% : 0.000002s : 11: predicate.print_const_string_wrapper 1.22% : 0.000002s : 11: predicate.reduce_eliminate 0.97% : 0.000002s : 11: predicate.redundant_stop_gradient_eliminater 0.96% : 0.000002s : 10: predicate.remove_not_recompute_node 1.38% : 0.000003s : 21: predicate.replace_applicator 0.69% : 0.000001s : 10: predicate.replace_old_param 0.30% : 0.000001s : 5: predicate.reset_defer_inline 0.97% : 0.000002s : 11: predicate.reshape_eliminate 1.02% : 0.000002s : 11: predicate.row_tensor_add_zeros_like 0.89% : 0.000002s : 5: predicate.row_tensor_eliminate 1.13% : 0.000002s : 11: predicate.same_eliminate 0.52% : 0.000001s : 10: predicate.set_cell_output_no_recompute 1.38% : 0.000003s : 10: predicate.special_op_eliminate 1.19% : 0.000002s : 10: predicate.specialize_transform 1.01% : 0.000002s : 11: predicate.split_environ_get_set_with_tuple_value 1.16% : 0.000002s : 11: predicate.stack_unstack_eliminate 0.59% : 0.000001s : 5: predicate.switch_call_monad_eliminater 12.94% : 0.000024s : 13: predicate.switch_defer_inline 1.36% : 0.000002s : 13: predicate.switch_layer_defer_inline 5.26% : 0.000010s : 38: predicate.switch_simplify 1.16% : 0.000002s : 11: predicate.tile_eliminate 0.95% : 0.000002s : 11: predicate.transpose_eliminate 1.17% : 0.000002s : 11: predicate.tuple_list_convert_item_index_to_positive 1.07% : 0.000002s : 11: predicate.tuple_list_get_item_depend_reorder 3.48% : 0.000006s : 21: predicate.tuple_list_get_item_eliminator 1.28% : 0.000002s : 11: predicate.tuple_list_set_item_eliminator 1.22% : 0.000002s : 11: predicate.tuple_to_list_eliminator_ 1.53% : 0.000003s : 16: predicate.updatestate_pure_node_eliminater 3.05% : 0.000006s : 26: predicate.updatestate_useless_node_eliminater 1.25% : 0.000002s : 11: predicate.value_based_eliminate 0.38% : 0.000001s : 5: predicate.virtual_view_grad_eliminate 0.80% : 0.000001s : 5: predicate.zero_like_fill_zero ------[func_graph_cloner_run.] 0.000638 6 28.87% : 0.000184s : 2: func_graph_cloner_run.FuncGraphClonerGraph 71.13% : 0.000454s : 4: func_graph_cloner_run.FuncGraphSpecializer ------[meta_graph.] 0.000000 0 ------[manager.] 0.000000 0 ------[pynative] 0.000000 0 ------[others.] 0.770131 72 0.01% : 0.000099s : 1: add_recomputation 0.02% : 0.000160s : 1: auto_monad 0.01% : 0.000048s : 1: auto_monad_reorder 0.15% : 0.001156s : 1: bootstrap 0.01% : 0.000044s : 1: cconv 0.00% : 0.000023s : 1: convert_after_rewriter 0.01% : 0.000054s : 1: cse_after_recomputation 0.00% : 0.000037s : 1: environ_conv 0.00% : 0.000021s : 1: event_method 0.00% : 0.000006s : 1: expand_dump_flag 0.00% : 0.000005s : 1: get_jit_bprop_graph 0.00% : 0.000008s : 1: graph_reusing 26.33% : 0.202785s : 1: jit_opt_a 0.03% : 0.000264s : 1: jit_opt_after_cconv 0.01% : 0.000086s : 1: jit_opt_b 0.07% : 0.000568s : 1: loop_unroll 0.11% : 0.000848s : 1: mutable_eliminate 0.13% : 0.000964s : 26: opt.transform.jit_opt_a 0.01% : 0.000099s : 4: opt.transform.jit_opt_after_cconv 0.01% : 0.000047s : 4: opt.transform.jit_opt_b 0.00% : 0.000023s : 1: opt.transform.loop_unroll_optimizer 0.00% : 0.000026s : 1: opt.transform.mutable_eliminate 0.00% : 0.000038s : 1: opt.transform.opt_after_jit_grad 0.01% : 0.000053s : 4: opt.transform.symbol_engine_opt 0.08% : 0.000635s : 1: opt_after_jit_grad 0.00% : 0.000011s : 1: order_py_execute_after_rewriter 0.00% : 0.000006s : 1: partial_unused_args_eliminate 0.00% : 0.000015s : 1: pre_auto_parallel 0.05% : 0.000348s : 1: py_interpret_to_execute 0.00% : 0.000022s : 1: py_interpret_to_execute_after_opt_a 0.00% : 0.000030s : 1: remove_dup_value 0.10% : 0.000749s : 1: renormalize.infer 0.08% : 0.000594s : 1: renormalize.specialize 0.00% : 0.000007s : 1: rewriter_after_jit_bprop_graph 0.04% : 0.000336s : 1: rewriter_after_opt_a 0.01% : 0.000079s : 1: rewriter_before_opt_a 0.02% : 0.000116s : 1: symbol_engine_optimizer 72.68% : 0.559720s : 1: type_inference . [hook] pytest_runtest_teardown:test_chunk_functional_interface[KBK] tests/st/mint/test_chunk.py::test_chunk_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 225.37s (0:03:45) ==================