# -----------------------------------------------------------------------------------------------------------
# Copyright (c) 2026 Huawei Technologies Co., Ltd.
# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
# CANN Open Software License Agreement Version 2.0 (the "License").
# Please refer to the License for details. You may not use this file except in compliance with the License.
# 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.
# See LICENSE in the root of the software repository for the full text of the License.
# -----------------------------------------------------------------------------------------------------------
# ######################################################################################################################
# 过滤新增mc2算子的文件
# ######################################################################################################################

aclnn_abs.h
aclnn_acos.h
aclnn_acosh.h
aclnn_ada_layer_norm_backward.h
aclnn_ada_layer_norm_grad.h
aclnn_ada_layer_norm.h
aclnn_ada_layer_norm_quant.h
aclnn_ada_layer_norm_v2.h
aclnn_adaptive_avg_pool2d_backward.h
aclnn_adaptive_avg_pool2d.h
aclnn_adaptive_avg_pool3d_backward.h
aclnn_adaptive_avg_pool3d.h
aclnn_adaptive_max_pool2d_backward.h
aclnn_adaptive_max_pool2d.h
aclnn_adaptive_max_pool3d_backward.h
aclnn_adaptive_max_pool3d.h
aclnn_addbmm.h
aclnn_addcdiv.h
aclnn_addcmul.h
aclnn_add.h
aclnn_add_layer_norm_grad.h
aclnn_add_layer_norm.h
aclnn_add_layer_norm_quant.h
aclnn_add_lora.h
aclnn_addmm.h
aclnn_addmv.h
aclnn_add_relu.h
aclnn_addr.h
aclnn_add_rms_norm_cast.h
aclnn_add_rms_norm_dynamic_mx_quant.h
aclnn_add_rms_norm_dynamic_quant.h
aclnn_add_rms_norm_dynamic_quant_v2.h
aclnn_add_rms_norm.h
aclnn_add_rms_norm_quant.h
aclnn_add_rms_norm_quant_v2.h
aclnn_add_v3.h
aclnn_advance_step.h
aclnn_advance_step_v2.h
aclnn_affine_grid.h
aclnn_all_gather_matmul.h
aclnn_all_gather_matmul_v2.h
aclnn_all.h
aclnn_all_to_all_all_gather_batch_matmul.h
aclnn_allto_allv_grouped_mat_mul.h
aclnn_allto_allv_quant_grouped_mat_mul.h
aclnn_amax.h
aclnn_amin.h
aclnn_aminmax_all.h
aclnn_aminmax_dim.h
aclnn_aminmax.h
aclnn_angle_v2.h
aclnn_any.h
aclnn_apply_adam.h
aclnn_apply_adam_w.h
aclnn_apply_adam_w_quant.h
aclnn_apply_adam_w_v2.h
aclnn_apply_fused_ema_adam.h
aclnn_apply_rotary_pos_emb.h
aclnn_apply_rotary_pos_emb_v2.h
aclnn_apply_top_k_top_p.h
aclnn_arange.h
aclnn_argmax.h
aclnn_argmin.h
aclnn_argsort.h
aclnn_ascend_anti_quant.h
aclnn_ascend_anti_quant_v2.h
aclnn_ascend_quant.h
aclnn_ascend_quant_v3.h
aclnn_asin.h
aclnn_asinh.h
aclnn_atan2.h
aclnn_atan.h
aclnn_atanh.h
aclnn_attention_to_ffn.h
aclnn_attention_update.h
aclnn_attention_worker_combine.h
aclnn_attention_worker_scheduler.h
aclnn_avgpool2d_backward.h
aclnn_avgpool2d.h
aclnn_avgpool3d_backward.h
aclnn_avgpool3d.h
aclnn_baddbmm.h
aclnn_batch_matmul.h
aclnn_batchmatmul_quant.h
aclnn_batch_matmul_reduce_scatter_all_to_all.h
aclnn_batch_norm_backward.h
aclnn_batch_norm_backward_reduce.h
aclnn_batch_norm_elemt_backward.h
aclnn_batch_norm_elemt.h
aclnn_batch_norm_gather_stats_with_counts.h
aclnn_batch_norm.h
aclnn_batch_norm_reduce.h
aclnn_batch_norm_stats.h
aclnn_bernoulli.h
aclnn_bidirection_lstm.h
aclnn_bidirection_lstmv2.h
aclnn_binary_cross_entropy_backward.h
aclnn_binary_cross_entropy.h
aclnn_binary_cross_entropy_with_logits_backward.h
aclnn_binary_cross_entropy_with_logits.h
aclnn_binary_cross_entropy_with_logits_target_backward.h
aclnn_bincount.h
aclnn_bitwiseand.h
aclnn_bitwise_and_scalar.h
aclnn_bitwise_and_tensor.h
aclnn_bitwise_not.h
aclnn_bitwise_or_scalar.h
aclnn_bitwise_or_tensor.h
aclnn_bitwise_xor_scalar.h
aclnn_bitwise_xor_tensor.h
aclnn_block_sparse_attention_grad.h
aclnn_block_sparse_attention.h
aclnn_cast.h
aclnn_cat.h
aclnn_cdist_backward.h
aclnn_cdist.h
aclnn_ceil.h
aclnn_celu.h
aclnn_chamfer_distance_backward.h
aclnn_channel_shuffle.h
aclnn_chunk_cat.h
aclnn_chunk_gated_delta_rule.h
aclnn_circular_pad2d_backward.h
aclnn_circular_pad2d.h
aclnn_circular_pad3d_backward.h
aclnn_circular_pad3d.h
aclnn_clamp.h
aclnn_clipped_swiglu.h
aclnn_coalesce_sparse.h
aclnn_complex.h
aclnn_confusion_transpose.h
aclnn_constant_pad_nd.h
aclnn_convert_weight_to_int4_pack.h
aclnn_convolution_backward.h
aclnn_convolution.h
aclnn_copy.h
aclnn_cos.h
aclnn_cosh.h
aclnn_cross_entropy_loss_grad.h
aclnn_cross_entropy_loss.h
aclnn_ctc_loss_backward.h
aclnn_ctc_loss.h
aclnn_cummax.h
aclnn_cummin.h
aclnn_cumprod.h
aclnn_cumsum.h
aclnn_deep_norm_grad.h
aclnn_deep_norm.h
aclnn_deformable_conv2d.h
aclnn_dense_lightning_indexer_grad_kl_loss.h
aclnn_dense_lightning_indexer_softmax_lse.h
aclnn_dequant_bias.h
aclnn_dequant_rope_quant_kvcache.h
aclnn_dequant_swiglu_quant.h
aclnn_dequant_swiglu_quant_v2.h
aclnn_diag_flat.h
aclnn_diag.h
aclnn_digamma.h
aclnn_distribute_barrier.h
aclnn_distribute_barrier_v2.h
aclnn_div.h
aclnn_dot.h
aclnn_dropout_backward.h
aclnn_dropout_do_mask.h
aclnn_dropout_gen_mask.h
aclnn_dropout.h
aclnn_dropout_v3.h
aclnn_dual_level_quant_matmul_nz.h
aclnn_dynamic_block_mx_quant.h
aclnn_dynamic_block_quant.h
aclnn_dynamic_block_quant_v2.h
aclnn_dynamic_dual_level_mx_quant.h
aclnn_dynamic_mx_quant.h
aclnn_dynamic_mx_quant_v2.h
aclnn_dynamic_mx_quant_with_dual_axis.h
aclnn_dynamic_quant.h
aclnn_dynamic_quant_v2.h
aclnn_dynamic_quant_v3.h
aclnn_dynamic_quant_v4.h
aclnn_einsum.h
aclnn_elu_backward.h
aclnn_elu.h
aclnn_embedding_bag.h
aclnn_embedding_dense_backward.h
aclnn_embedding.h
aclnn_embedding_renorm.h
aclnn_eq_scalar.h
aclnn_eq_tensor.h
aclnn_equal.h
aclnn_erfc.h
aclnn_erf.h
aclnn_erfinv.h
aclnn_exp2.h
aclnn_expand.h
aclnn_expand_into_jagged_permute.h
aclnn_exp.h
aclnn_expm1.h
aclnn_exp_segsum_backward.h
aclnn_eye.h
aclnn_fake_quant_per_channel_affine_cachemask.h
aclnn_fake_quant_per_tensor_affine_cachemask.h
aclnn_fast_batch_norm_backward.h
aclnn_fast_gelu_backward.h
aclnn_fast_gelu.h
aclnn_fatrelu_mul.h
aclnn_ffn.h
aclnn_ffn_to_attention.h
aclnn_ffn_v2.h
aclnn_ffn_v3.h
aclnn_ffn_worker_batching.h
aclnn_ffn_worker_scheduler.h
aclnn_fill_diagonal.h
aclnn_fill_scalar.h
aclnn_fill_tensor.h
aclnn_flash_attention_score_grad.h
aclnn_flash_attention_score.h
aclnn_flat_quant.h
aclnn_flatten.h
aclnn_flip.h
aclnn_floor_divide.h
aclnn_floor.h
aclnn_fmod_scalar.h
aclnn_fmod_tensor.h
aclnn_foreach_abs.h
aclnn_foreach_acos.h
aclnn_foreach_addcdiv_list.h
aclnn_foreach_addcdiv_scalar.h
aclnn_foreach_addcdiv_scalar_list.h
aclnn_foreach_addcdiv_scalar_v2.h
aclnn_foreach_addcmul_list.h
aclnn_foreach_addcmul_scalar.h
aclnn_foreach_addcmul_scalar_list.h
aclnn_foreach_addcmul_scalar_v2.h
aclnn_foreach_add_list.h
aclnn_foreach_add_list_v2.h
aclnn_foreach_add_scalar.h
aclnn_foreach_add_scalar_list.h
aclnn_foreach_add_scalar_v2.h
aclnn_foreach_asin.h
aclnn_foreach_atan.h
aclnn_foreach_copy.h
aclnn_foreach_cos.h
aclnn_foreach_cosh.h
aclnn_foreach_div_list.h
aclnn_foreach_div_scalar.h
aclnn_foreach_div_scalar_list.h
aclnn_foreach_div_scalar_v2.h
aclnn_foreach_erfc.h
aclnn_foreach_erf.h
aclnn_foreach_exp.h
aclnn_foreach_expm1.h
aclnn_foreach_lerp_list.h
aclnn_foreach_lerp_scalar.h
aclnn_foreach_log10.h
aclnn_foreach_log1p.h
aclnn_foreach_log2.h
aclnn_foreach_log.h
aclnn_foreach_maximum_list.h
aclnn_foreach_maximum_scalar.h
aclnn_foreach_maximum_scalar_list.h
aclnn_foreach_maximum_scalar_v2.h
aclnn_foreach_minimum_list.h
aclnn_foreach_minimum_scalar.h
aclnn_foreach_minimum_scalar_list.h
aclnn_foreach_minimum_scalar_v2.h
aclnn_foreach_mul_list.h
aclnn_foreach_mul_scalar.h
aclnn_foreach_mul_scalar_list.h
aclnn_foreach_mul_scalar_v2.h
aclnn_foreach_neg.h
aclnn_foreach_non_finite_check_and_unscale.h
aclnn_foreach_norm.h
aclnn_foreach_pow_list.h
aclnn_foreach_pow_scalar_and_tensor.h
aclnn_foreach_pow_scalar.h
aclnn_foreach_pow_scalar_list.h
aclnn_foreach_pow_scalar_v2.h
aclnn_foreach_reciprocal.h
aclnn_foreach_round_off_number.h
aclnn_foreach_round_off_number_v2.h
aclnn_foreach_sigmoid.h
aclnn_foreach_sign.h
aclnn_foreach_sin.h
aclnn_foreach_sinh.h
aclnn_foreach_sqrt.h
aclnn_foreach_sub_list.h
aclnn_foreach_sub_list_v2.h
aclnn_foreach_sub_scalar.h
aclnn_foreach_sub_scalar_list.h
aclnn_foreach_sub_scalar_v2.h
aclnn_foreach_tan.h
aclnn_foreach_tanh.h
aclnn_foreach_zero_inplace.h
aclnn_frac.h
aclnn_fused_causal_conv1d.h
aclnn_fused_cross_entropy_loss_with_max_sum.h
aclnn_fused_floyd_attention_grad.h
aclnn_fused_floyd_attention.h
aclnn_fused_infer_attention_score.h
aclnn_fused_infer_attention_score_v2.h
aclnn_fused_infer_attention_score_v3.h
aclnn_fused_infer_attention_score_v4.h
aclnn_fused_infer_attention_score_v5.h
aclnn_fused_linear_cross_entropy_loss_grad.h
aclnn_fused_linear_online_max_sum.h
aclnn_fused_matmul.h
aclnn_fused_quant_matmul.h
aclnn_fused_quant_matmul_weight_nz.h
aclnn_gather.h
aclnn_gather_nd.h
aclnn_gather_pa_kv_cache.h
aclnn_gather_v2.h
aclnn_gather_v3.h
aclnn_gcd.h
aclnn_geglu_backward.h
aclnn_geglu.h
aclnn_gelu_backward.h
aclnn_gelu_backward_v2.h
aclnn_gelu.h
aclnn_gelu_mul.h
aclnn_gelu_quant.h
aclnn_gelu_v2.h
aclnn_gemma_rms_norm.h
aclnn_gemm.h
aclnn_ger.h
aclnn_ge_scalar.h
aclnn_ge_tensor.h
aclnn_global_average_pool.h
aclnn_global_max_pool.h
aclnn_glu_backward.h
aclnn_glu.h
aclnn_grouped_bias_add_grad.h
aclnn_grouped_dynamic_block_quant.h
aclnn_grouped_dynamic_mx_quant.h
aclnn_grouped_matmul_add.h
aclnn_grouped_matmul_add_v2.h
aclnn_grouped_mat_mul_all_reduce.h
aclnn_grouped_mat_mul_allto_allv.h
aclnn_grouped_matmul_finalize_routing.h
aclnn_grouped_matmul_finalize_routing_v2.h
aclnn_grouped_matmul_finalize_routing_v3.h
aclnn_grouped_matmul_finalize_routing_weight_nz.h
aclnn_grouped_matmul_finalize_routing_weight_nz_v2.h
aclnn_grouped_matmul.h
aclnn_grouped_matmul_swiglu_quant.h
aclnn_grouped_matmul_swiglu_quant_v2.h
aclnn_grouped_matmul_swiglu_quant_weight_nz.h
aclnn_grouped_matmul_swiglu_quant_weight_nz_v2.h
aclnn_grouped_matmul_v2.h
aclnn_grouped_matmul_v3.h
aclnn_grouped_matmul_v4.h
aclnn_grouped_matmul_v5.h
aclnn_grouped_matmul_weight_nz.h
aclnn_group_norm_backward.h
aclnn_group_norm.h
aclnn_group_norm_silu.h
aclnn_group_norm_silu_quant.h
aclnn_group_norm_swish_grad.h
aclnn_group_norm_swish.h
aclnn_group_quant.h
aclnn_gt_scalar.h
aclnn_gt_tensor.h
aclnn_hans_decode.h
aclnn_hans_encode.h
aclnn_hardshrink_backward.h
aclnn_hardshrink.h
aclnn_hardsigmoid_backward.h
aclnn_hardsigmoid.h
aclnn_hardswish_backward.h
aclnn_hardswish_backward_v2.h
aclnn_hard_swish.h
aclnn_hardswish.h
aclnn_hardtanh_backward.h
aclnn_hardtanh.h
aclnn_hbm_stress_test_pi.h
aclnn_heaviside.h
aclnn_histc.h
aclnn_im2col.h
aclnn_incre_flash_attention.h
aclnn_incre_flash_attention_v2.h
aclnn_incre_flash_attention_v3.h
aclnn_incre_flash_attention_v4.h
aclnn_index_add.h
aclnn_index_add_v2.h
aclnn_index_copy.h
aclnn_index_fill.h
aclnn_index_fill_tensor.h
aclnn_index.h
aclnn_index_put_impl.h
aclnn_index_select.h
aclnn_inplace_add_rms_norm.h
aclnn_inplace_matmul_all_reduce_add_rms_norm.h
aclnn_inplace_quant_matmul_all_reduce_add_rms_norm.h
aclnn_inplace_weight_quant_matmul_all_reduce_add_rms_norm.h
aclnn_instance_norm.h
aclnn_interleave_rope.h
aclnn_inverse.h
aclnn_isclose.h
aclnn_isfinite.h
aclnn_is_inf.h
aclnn_isin.h
aclnn_isin_tensor_scalar.h
aclnn_isneginf.h
aclnn_isposinf.h
aclnn_kl_div_backward.h
aclnn_kl_div.h
aclnn_kl_div_target_backward.h
aclnn_kthvalue.h
aclnn_kv_rms_norm_rope_cache.h
aclnn_l1_loss_backward.h
aclnn_l1_loss.h
aclnn_layer_norm_backward.h
aclnn_layer_norm.h
aclnn_layer_norm_quant.h
aclnn_leaky_relu_backward.h
aclnn_leaky_relu.h
aclnn_left_shift.h
aclnn_lerp_scalar.h
aclnn_lerp_tensor.h
aclnn_le_scalar.h
aclnn_le_tensor.h
aclnn_lgamma.h
aclnn_lightning_indexer_grad.h
aclnn_lightning_indexer.h
aclnn_linalg_cholesky.h
aclnn_linalg_cross.h
aclnn_linalg_qr.h
aclnn_linalg_vector_norm.h
aclnn_linspace.h
aclnn_log10.h
aclnn_log1p.h
aclnn_log2.h
aclnn_logaddexp2.h
aclnn_logaddexp.h
aclnn_logdet.h
aclnn_log.h
aclnn_logical_and.h
aclnn_logical_not.h
aclnn_logical_or.h
aclnn_logical_xor.h
aclnn_logit_grad.h
aclnn_logit.h
aclnn_logsigmoid_backward.h
aclnn_logsigmoid.h
aclnn_logsoftmax_backward.h
aclnn_logsoftmax.h
aclnn_logspace.h
aclnn_logsumexp.h
aclnn_lstm_backward.h
aclnn_lstm.h
aclnn_lt_scalar.h
aclnn_lt_tensor.h
aclnn_masked_fill_scalar.h
aclnn_masked_fill_tensor.h
aclnn_masked_scale.h
aclnn_masked_scatter.h
aclnn_masked_select.h
aclnn_masked_softmax_with_rel_pos_bias.h
aclnn_matmul_all_reduce_add_rms_norm.h
aclnn_matmul_all_reduce.h
aclnn_matmul_all_reduce_v2.h
aclnn_matmul_compress_dequant.h
aclnn_matmul_compress.h
aclnn_matmul.h
aclnn_matmul_reduce_scatter.h
aclnn_matmul_reduce_scatter_v2.h
aclnn_max_dim.h
aclnn_max.h
aclnn_maximum.h
aclnn_maxn.h
aclnn_max_pool2d_with_indices_backward.h
aclnn_max_pool2d_with_indices.h
aclnn_max_pool3d_with_argmax_backward.h
aclnn_max_pool3d_with_argmax.h
aclnn_max_pool.h
aclnn_max_unpool2d_backward.h
aclnn_max_unpool2d.h
aclnn_max_unpool3d_backward.h
aclnn_max_unpool3d.h
aclnn_max_v2.h
aclnn_mean.h
aclnn_median.h
aclnn_mhc_post.h
aclnn_mhc_pre.h
aclnn_mhc_sinkhorn.h
aclnn_min_dim.h
aclnn_min.h
aclnn_minimum.h
aclnn_minn.h
aclnn_mish_backward.h
aclnn_mish.h
aclnn_mla_preprocess.h
aclnn_mla_preprocess_v2.h
aclnn_mla_prolog.h
aclnn_mla_prolog_v2_weight_nz.h
aclnn_mla_prolog_v3_weight_nz.h
aclnn_mm.h
aclnn_modulate_backward.h
aclnn_modulate.h
aclnn_moe_compute_expert_tokens.h
aclnn_moe_distribute_combine_add_rms_norm.h
aclnn_moe_distribute_combine_add_rms_norm_v2.h
aclnn_moe_distribute_combine.h
aclnn_moe_distribute_combine_v2.h
aclnn_moe_distribute_combine_v3.h
aclnn_moe_distribute_combine_v4.h
aclnn_moe_distribute_dispatch.h
aclnn_moe_distribute_dispatch_v2.h
aclnn_moe_distribute_dispatch_v3.h
aclnn_moe_distribute_dispatch_v4.h
aclnn_moe_finalize_routing.h
aclnn_moe_finalize_routing_v2_grad.h
aclnn_moe_finalize_routing_v2.h
aclnn_moe_fused_topk.h
aclnn_moe_gating_top_k.h
aclnn_moe_gating_top_k_softmax.h
aclnn_moe_gating_top_k_softmax_v2.h
aclnn_moe_init_routing.h
aclnn_moe_init_routing_quant.h
aclnn_moe_init_routing_quant_v2.h
aclnn_moe_init_routing_v2_grad.h
aclnn_moe_init_routing_v2.h
aclnn_moe_init_routing_v3.h
aclnn_moe_token_permute_grad.h
aclnn_moe_token_permute.h
aclnn_moe_token_permute_with_ep_grad.h
aclnn_moe_token_permute_with_ep.h
aclnn_moe_token_permute_with_routing_map_grad.h
aclnn_moe_token_permute_with_routing_map.h
aclnn_moe_token_unpermute_grad.h
aclnn_moe_token_unpermute.h
aclnn_moe_token_unpermute_with_ep_grad.h
aclnn_moe_token_unpermute_with_ep.h
aclnn_moe_token_unpermute_with_routing_map_grad.h
aclnn_moe_token_unpermute_with_routing_map.h
aclnn_moe_update_expert.h
aclnn_mse_loss_backward.h
aclnn_mse_loss.h
aclnn_mse_loss_out.h
aclnn_mul.h
aclnn_multilabel_margin_loss.h
aclnn_multinomial.h
aclnn_multi_scale_deformable_attention_grad.h
aclnn_multi_scale_deformable_attn_function.h
aclnn_mv.h
aclnn_nan_to_num.h
aclnn_neg.h
aclnn_ne_scalar.h
aclnn_ne_tensor.h
aclnn_nll_loss2d_backward.h
aclnn_nll_loss2d.h
aclnn_nll_loss_backward.h
aclnn_nll_loss.h
aclnn_nonzero.h
aclnn_nonzero_v2.h
aclnn_normal.h
aclnn_normal_out.h
aclnn_norm.h
aclnn_norm_rope_concat_grad.h
aclnn_norm_rope_concat.h
aclnn_npu_format_cast.h
aclnn_nsa_compress_attention.h
aclnn_nsa_compress_attention_infer.h
aclnn_nsa_compress_grad.h
aclnn_nsa_compress.h
aclnn_nsa_compress_with_cache.h
aclnn_nsa_selected_attention_grad.h
aclnn_nsa_selected_attention.h
aclnn_nsa_selected_attention_infer.h
aclnn_one_hot.h
aclnn_ones.h
aclnn_ops_math.h
aclnn_ops_nn.h
aclnn_ops_oam.h
aclnn_ops_transformer.h
aclnn_pad2d_backward.h
aclnn_pdist_forward.h
aclnn_pdist.h
aclnn_permute.h
aclnn_polar.h
aclnn_pow.h
aclnn_pow_tensor_tensor.h
aclnn_precision_compare.h
aclnn_precision_compare_v2.h
aclnn_prelu_backward.h
aclnn_prelu.h
aclnn_prod.h
aclnn_prompt_flash_attention.h
aclnn_prompt_flash_attention_v2.h
aclnn_prompt_flash_attention_v3.h
aclnn_put.h
aclnn_qkv_rms_norm_rope_cache.h
aclnn_qr.h
aclnn_quant_batch_matmul_inplace_add.h
aclnn_quant_convolution.h
aclnn_quant_grouped_mat_mul_allto_allv.h
aclnn_quant_grouped_matmul_dequant.h
aclnn_quant_grouped_matmul_dequant_weight_nz.h
aclnn_quant_grouped_matmul_inplace_add.h
aclnn_quantized_batch_norm.h
aclnn_quantize.h
aclnn_quant_matmul_all_reduce_add_rms_norm.h
aclnn_quant_matmul_all_reduce.h
aclnn_quant_matmul_all_reduce_v2.h
aclnn_quant_matmul_all_reduce_v3.h
aclnn_quant_matmul_all_reduce_v4.h
aclnn_quant_matmul_dequant.h
aclnn_quant_matmul.h
aclnn_quant_matmul_reduce_sum.h
aclnn_quant_matmul_v3.h
aclnn_quant_matmul_v4.h
aclnn_quant_matmul_v5.h
aclnn_quant_matmul_weight_nz.h
aclnn_quant_scatter.h
aclnn_quant_scatter_v2.h
aclnn_rain_fusion_attention.h
aclnn_random.h
aclnn_randperm.h
aclnn_range.h
aclnn_real.h
aclnn_reciprocal.h
aclnn_recurrent_gated_delta_rule.h
aclnn_reduce_log_sum.h
aclnn_reduce_nansum.h
aclnn_reduce_sum.h
aclnn_reflection_pad1d_backward.h
aclnn_reflection_pad1d.h
aclnn_reflection_pad2d.h
aclnn_reflection_pad3d_backward.h
aclnn_reflection_pad3d.h
aclnn_relu.h
aclnn_remainder.h
aclnn_renorm.h
aclnn_repeat.h
aclnn_repeat_interleave_grad.h
aclnn_repeat_interleave.h
aclnn_replication_pad1d_backward.h
aclnn_replication_pad1d.h
aclnn_replication_pad2d.h
aclnn_replication_pad3d_backward.h
aclnn_replication_pad3d.h
aclnn_rfft1_d.h
aclnn_right_shift.h
aclnn_ring_attention_update.h
aclnn_rms_norm_dynamic_mx_quant.h
aclnn_rms_norm_grad.h
aclnn_rms_norm.h
aclnn_rms_norm_quant.h
aclnn_roll.h
aclnn_rope_with_sin_cos_cache.h
aclnn_rope_with_sin_cos_cache_v2.h
aclnn_rotary_position_embedding_grad.h
aclnn_rotary_position_embedding.h
aclnn_rotary_position_embedding_v2.h
aclnn_round.h
aclnn_rrelu_with_noise.h
aclnn_rsqrt.h
aclnn_rsub.h
aclnn_scaled_masked_softmax_backward.h
aclnn_scaled_masked_softmax.h
aclnn_scale.h
aclnn_scatter_add.h
aclnn_scatter.h
aclnn_scatter_list.h
aclnn_scatter_nd.h
aclnn_scatter_nd_update.h
aclnn_scatter_pa_cache.h
aclnn_scatter_pa_kv_cache.h
aclnn_scatter_update.h
aclnn_searchsorted.h
aclnn_segsum.h
aclnn_selu_backward.h
aclnn_selu.h
aclnn_shrink.h
aclnn_sigmoid_backward.h
aclnn_sigmoid.h
aclnn_signbit.h
aclnn_sign_bits_pack.h
aclnn_sign_bits_unpack.h
aclnn_sign.h
aclnn_silent_check.h
aclnn_silent_check_v2.h
aclnn_silu_backward.h
aclnn_silu_grad.h
aclnn_silu.h
aclnn_sim_thread_exponential.h
aclnn_sinc.h
aclnn_sin.h
aclnn_sinh.h
aclnn_sinkhorn.h
aclnn_slice.h
aclnn_slice_v2.h
aclnn_slogdet.h
aclnn_smooth_l1_loss_backward.h
aclnn_smooth_l1_loss.h
aclnn_soft_margin_loss_backward.h
aclnn_soft_margin_loss.h
aclnn_softmax_backward.h
aclnn_softmax_cross_entropy_with_logits.h
aclnn_softmax.h
aclnn_softplus_backward.h
aclnn_softplus.h
aclnn_softshrink_backward.h
aclnn_softshrink.h
aclnn_sort.h
aclnn_sparse4to2quant_matmul_weight_nz.h
aclnn_sparse_flash_attention_grad.h
aclnn_sparse_flash_attention.h
aclnn_sparse_lightning_indexer_grad_kl_loss.h
aclnn_split_tensor.h
aclnn_split_with_size.h
aclnn_sqrt.h
aclnn_squared_relu.h
aclnn_square.h
aclnn_stack.h
aclnn_std.h
aclnn_std_mean_correction.h
aclnn_strided_slice_assign_v2.h
aclnn_strided_slice.h
aclnn_sub.h
aclnn_sum.h
aclnn_svd.h
aclnn_s_where.h
aclnn_swi_glu_grad.h
aclnn_swi_glu.h
aclnn_swiglu_mx_quant.h
aclnn_swi_glu_quant.h
aclnn_swi_glu_quant_v2.h
aclnn_swin_attention_score_quant.h
aclnn_swin_transformer_ln_qkv_quant.h
aclnn_swish_backward.h
aclnn_swish.h
aclnn_sync_batch_norm_gather_stats.h
aclnn_take.h
aclnn_tan.h
aclnn_tanh_backward.h
aclnn_tanh.h
aclnn_tf_scatter_add.h
aclnn_thnn_fused_lstm_cell_backward.h
aclnn_thnn_fused_lstm_cell.h
aclnn_threshold_backward.h
aclnn_threshold.h
aclnn_topk.h
aclnn_top_k_top_p_sample.h
aclnn_top_k_top_p_sample_v2.h
aclnn_trace.h
aclnn_trans_convolution_weight.h
aclnn_transform_bias_rescale_qkv.h
aclnn_trans_matmul_weight.h
aclnn_transpose_batch_mat_mul.h
aclnn_transpose_quant_batch_mat_mul.h
aclnn_trans_quant_param.h
aclnn_trans_quant_param_v2.h
aclnn_trans_quant_param_v3.h
aclnn_triangular_solve.h
aclnn_tril.h
aclnn_triu.h
aclnn_trunc.h
aclnn_unfold_grad.h
aclnn_uniform.h
aclnn_unique2.h
aclnn_unique_consecutive.h
aclnn_unique_dim.h
aclnn_unique.h
aclnn_util.h
aclnn_var.h
aclnn_var_mean.h
aclnn_weight_quant_batch_matmul.h
aclnn_weight_quant_batch_matmul_nz.h
aclnn_weight_quant_batch_matmul_v2.h
aclnn_weight_quant_batch_matmul_v3.h
aclnn_weight_quant_matmul_all_reduce_add_rms_norm.h
aclnn_weight_quant_matmul_all_reduce.h
aclnn_x_log_y_scalar_other.h
aclnn_x_log_y_scalar_self.h
aclnn_x_log_y_tensor.h
aclnn_zero.h
acl_rfft1d.h
acl_stft.h