# 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 .common import fc # noqa: F401 from .common import batch_norm # noqa: F401 from .common import instance_norm # noqa: F401 from .common import data_norm # noqa: F401 from .common import continuous_value_model # noqa: F401 from .common import group_norm # noqa: F401 from .common import deform_conv2d # noqa: F401 from .common import conv2d # noqa: F401 from .common import conv3d # noqa: F401 from .common import conv2d_transpose # noqa: F401 from .common import conv3d_transpose # noqa: F401 from .control_flow import ( case, while_loop, switch_case, ) from .common import bilinear_tensor_product # noqa: F401 from .common import py_func # noqa: F401 from .common import row_conv # noqa: F401 from .common import spectral_norm # noqa: F401 from ...tensor.creation import create_parameter # noqa: F401 from .loss import nce # noqa: F401 from .common import prelu # noqa: F401 from .common import layer_norm # noqa: F401 from .common import embedding # noqa: F401 from .common import sparse_embedding # noqa: F401 from .sequence_lod import sequence_conv # noqa: F401 from .sequence_lod import sequence_softmax # noqa: F401 from .sequence_lod import sequence_pool # noqa: F401 from .sequence_lod import sequence_concat # noqa: F401 from .sequence_lod import sequence_first_step # noqa: F401 from .sequence_lod import sequence_last_step # noqa: F401 from .sequence_lod import sequence_slice # noqa: F401 from .sequence_lod import sequence_expand # noqa: F401 from .sequence_lod import sequence_expand_as # noqa: F401 from .sequence_lod import sequence_pad # noqa: F401 from .sequence_lod import sequence_unpad # noqa: F401 from .sequence_lod import sequence_reshape # noqa: F401 from .sequence_lod import sequence_scatter # noqa: F401 from .sequence_lod import sequence_enumerate # noqa: F401 from .sequence_lod import sequence_reverse # noqa: F401 from .control_flow import cond __all__ = [ # noqa 'fc', 'batch_norm', 'bilinear_tensor_product', 'embedding', 'case', 'cond', 'conv2d', 'conv2d_transpose', 'conv3d', 'conv3d_transpose', 'data_norm', 'deform_conv2d', 'group_norm', 'instance_norm', 'layer_norm', 'nce', 'prelu', 'py_func', 'row_conv', 'spectral_norm', 'switch_case', 'while_loop', 'sparse_embedding', 'sequence_conv', 'sequence_softmax', 'sequence_pool', 'sequence_concat', 'sequence_first_step', 'sequence_last_step', 'sequence_slice', 'sequence_expand', 'sequence_expand_as', 'sequence_pad', 'sequence_unpad', 'sequence_reshape', 'sequence_scatter', 'sequence_enumerate', 'sequence_reverse', 'prelu', ]