Hetu/python/hetu/gpu_ops/__init__.py

from __future__ import absolute_import
from .executor import wrapped_mpi_nccl_init, Executor, gradients, scheduler_init,\
    scheduler_finish, get_worker_communicate, worker_init, worker_finish, server_init, server_finish, HetuConfig, new_group_comm

from .AddConst import addbyconst_op
from .AddElewise import add_op
from .AvgPool import avg_pool2d_op, avg_pool2d_gradient_op
from .BatchNorm import batch_normalization_op, batch_normalization_gradient_op, batch_normalization_gradient_of_data_op, batch_normalization_gradient_of_scale_op, batch_normalization_gradient_of_bias_op
from .Broadcast import broadcastto_op
from .BinaryCrossEntropy import binarycrossentropy_op
from .Concat import concat_op, concat_gradient_op
from .Conv2d import conv2d_op, conv2d_gradient_of_data_op, conv2d_gradient_of_filter_op
from .Conv2dBroadcast import conv2d_broadcastto_op
from .Conv2dReduceSum import conv2d_reducesum_op
from .CuSparse import csrmv_op, csrmm_op
from .Division import div_op, div_const_op
from .Dropout import dropout_op, dropout_gradient_op
from .Dropout2d import dropout2d_op, dropout2d_gradient_op
from .MatrixMult import matmul_op
from .MaxPool import max_pool2d_op, max_pool2d_gradient_op
from .MultiplyConst import mul_byconst_op
from .MultiplyElewise import mul_op
from .OnesLike import oneslike_op
from .Opposite import opposite_op
from .Pad import pad_op, pad_gradient_op
from .ReduceSumAxisZero import reducesumaxiszero_op
from .Relu import relu_op, relu_gradient_op
from .LeakyRelu import leaky_relu_op, leaky_relu_gradient_op
from .Reshape import array_reshape_op, array_reshape_gradient_op
from .Sigmoid import sigmoid_op
from .Slice import slice_op, slice_gradient_op
from .Softmax import softmax_func, softmax_op
from .SoftmaxCrossEntropy import softmaxcrossentropy_op
from .Split import split_op, split_gradient_op
from .Sqrt import sqrt_op, rsqrt_op
from .Tanh import tanh_op
from .Transpose import transpose_op
from .Variable import Variable, placeholder_op
from .ZerosLike import zeroslike_op
from .EmbeddingLookUp import embedding_lookup_op, embedding_lookup_gradient_op
from .Where import where_op
from .BatchMatrixMult import batch_matmul_op
from .LayerNorm import layer_normalization_op
from .InstanceNorm2d import instance_normalization2d_op
from .BroadcastShape import broadcast_shape_op
from .ReduceSum import reduce_sum_op
from .ReduceMean import reduce_mean_op
from .OneHot import one_hot_op
from .AllReduceCommunicate import allreduceCommunicate_op, groupallreduceCommunicate_op
from .ParameterServerCommunicate import parameterServerCommunicate_op, parameterServerSparsePull_op
from .DataTransfer import datah2d_op, datad2h_op
from .MatrixDot import matrix_dot_op
from .DistGCN_15d import distgcn_15d_op
from .PipelineSend import pipeline_send_op
from .PipelineReceive import pipeline_receive_op
from .Dispatch import dispatch

__all__ = [
    'Executor',
    'gradients',
    'wrapped_mpi_nccl_init',
    'scheduler_init',
    'scheduler_finish',
    'get_worker_communicate',
    'worker_init',
    'worker_finish',
    'server_init',
    'server_finish',
    'HetuConfig',
    'new_group_comm',

    'addbyconst_op',
    'add_op',
    'avg_pool2d_op',
    'avg_pool2d_gradient_op',
    'batch_normalization_op',
    'batch_normalization_gradient_op',
    'batch_normalization_gradient_of_data_op',
    'batch_normalization_gradient_of_scale_op',
    'batch_normalization_gradient_of_bias_op',
    'broadcastto_op',
    'concat_op',
    'concat_gradient_op',
    'conv2d_op',
    'conv2d_gradient_of_data_op',
    'conv2d_gradient_of_filter_op',
    'conv2d_broadcastto_op',
    'conv2d_reducesum_op',
    'csrmv_op',
    'csrmm_op',
    'div_op',
    'div_const_op',
    'dropout_op',
    'dropout_gradient_op',
    'dropout2d_op',
    'dropout2d_gradient_op',
    'matmul_op',
    'max_pool2d_op',
    'max_pool2d_gradient_op',
    'mul_byconst_op',
    'mul_op',
    'oneslike_op',
    'opposite_op',
    'pad_op',
    'pad_gradient_op',
    'reducesumaxiszero_op',
    'relu_op',
    'relu_gradient_op',
    'leaky_relu_op',
    'leaky_relu_gradient_op',
    'array_reshape_op',
    'array_reshape_gradient_op',
    'sigmoid_op',
    'slice_op',
    'slice_gradient_op',
    'softmax_func',
    'softmax_op',
    'softmaxcrossentropy_op',
    'split_op',
    'split_gradient_op',
    'sqrt_op',
    'scheduler_init',
    'scheduler_finish',
    'server_init',
    'server_finish',
    'rsqrt_op',
    'tanh_op',
    'transpose_op',
    'Variable',
    'worker_init',
    'worker_finish',
    'placeholder_op',
    'zeroslike_op',
    "embedding_lookup_op",
    "embedding_lookup_gradient_op",
    'where_op',
    'batch_matmul_op',
    'layer_normalization_op',
    'instance_normalization2d_op',
    'broadcast_shape_op',
    'reduce_sum_op',
    'reduce_mean_op',
    'one_hot_op',
    'allreduceCommunicate_op',
    'parameterServerCommunicate_op',
    'datah2d_op',
    'datad2h_op',
    'binarycrossentropy_op',
    'matrix_dot_op',
    'parameterServerSparsePull_op',
    'distgcn_15d_op',
    'groupallreduceCommunicate_op',
    'pipeline_send_op',
    'pipeline_receive_op',
    'dispatch',
]