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Add TIRx inference kernels and B200 denoising timings
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# Copyright (c) 2026 SandAI. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from .dit_model import get_dit
from .dit_module import (
DiTModel,
SparseMoEMLP,
collect_moe_aux_loss,
collect_moe_routing_stats,
dense_mlp_intermediate_size,
load_dense_weights_into_sparse_moe_model,
remap_dense_mlp_state_to_sparse_moe,
resolve_virtual_group,
set_sparse_moe_diffusion_timestep,
split_expert_intermediate,
token_sparse_moe_mlp_layers,
)
from .moe_trace import MoeRoutingAccumulator, collect_moe_modality_counts
__all__ = [
"DiTModel",
"get_dit",
"SparseMoEMLP",
"collect_moe_aux_loss",
"collect_moe_routing_stats",
"dense_mlp_intermediate_size",
"load_dense_weights_into_sparse_moe_model",
"remap_dense_mlp_state_to_sparse_moe",
"resolve_virtual_group",
"set_sparse_moe_diffusion_timestep",
"split_expert_intermediate",
"token_sparse_moe_mlp_layers",
"MoeRoutingAccumulator",
"collect_moe_modality_counts",
]