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2026-07-13 12:40:42 +08:00

74 lines
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Python

# Copyright (c) 2020 PaddlePaddle Authors. 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 ..base.layer_helper import LayerHelper # noqa: F401
from ..distributed import fleet # noqa: F401
from . import ( # noqa: F401
asp,
autograd,
autotune,
cc,
layers,
multiprocessing,
nn,
xpu,
)
from .checkpoint import auto_checkpoint # noqa: F401
from .framework import ( # noqa: F401
get_rng_state,
register_rng_state_as_index,
set_rng_state,
)
from .jit import inference
from .nn.loss import identity_loss
from .operators import (
graph_khop_sampler,
graph_reindex,
graph_sample_neighbors,
graph_send_recv,
softmax_mask_fuse,
softmax_mask_fuse_upper_triangle,
)
from .optimizer import (
DistributedFusedLamb, # noqa: F401
LookAhead,
ModelAverage,
)
from .passes import fuse_resnet_unit_pass # noqa: F401
from .tensor import (
_npu_identity, # noqa: F401
segment_max,
segment_mean,
segment_min,
segment_sum,
)
__all__ = [
'LookAhead',
'ModelAverage',
'softmax_mask_fuse_upper_triangle',
'softmax_mask_fuse',
'graph_send_recv',
'graph_khop_sampler',
'graph_sample_neighbors',
'graph_reindex',
'segment_sum',
'segment_mean',
'segment_max',
'segment_min',
'identity_loss',
'inference',
'cc',
]