mindspore-mindinsight/mindinsight/mindconverter/f_list.json

[
  "torch.nn.functional.conv1d",
  "torch.nn.functional.conv2d",
  "torch.nn.functional.conv3d",
  "torch.nn.functional.conv_transpose1d",
  "torch.nn.functional.conv_transpose2d",
  "torch.nn.functional.conv_transpose3d",
  "torch.nn.functional.unfold",
  "torch.nn.functional.fold",
  "torch.nn.functional.avg_pool1d",
  "torch.nn.functional.avg_pool2d",
  "torch.nn.functional.avg_pool3d",
  "torch.nn.functional.max_pool1d",
  "torch.nn.functional.max_pool2d",
  "torch.nn.functional.max_pool3d",
  "torch.nn.functional.max_unpool1d",
  "torch.nn.functional.max_unpool2d",
  "torch.nn.functional.max_unpool3d",
  "torch.nn.functional.lp_pool1d",
  "torch.nn.functional.lp_pool2d",
  "torch.nn.functional.adaptive_max_pool1d",
  "torch.nn.functional.adaptive_max_pool2d",
  "torch.nn.functional.adaptive_max_pool3d",
  "torch.nn.functional.adaptive_avg_pool1d",
  "torch.nn.functional.adaptive_avg_pool2d",
  "torch.nn.functional.adaptive_avg_pool3d",
  "torch.nn.functional.threshold",
  "torch.nn.functional.threshold_",
  "torch.nn.functional.relu",
  "torch.nn.functional.relu_",
  "torch.nn.functional.hardtanh",
  "torch.nn.functional.hardtanh_",
  "torch.nn.functional.relu6",
  "torch.nn.functional.elu",
  "torch.nn.functional.elu_",
  "torch.nn.functional.selu",
  "torch.nn.functional.celu",
  "torch.nn.functional.leaky_relu",
  "torch.nn.functional.leaky_relu_",
  "torch.nn.functional.prelu",
  "torch.nn.functional.rrelu",
  "torch.nn.functional.rrelu_",
  "torch.nn.functional.glu",
  "torch.nn.functional.gelu",
  "torch.nn.functional.logsigmoid",
  "torch.nn.functional.hardshrink",
  "torch.nn.functional.tanhshrink",
  "torch.nn.functional.softsign",
  "torch.nn.functional.softplus",
  "torch.nn.functional.softmin",
  "torch.nn.functional.softmax",
  "torch.nn.functional.softshrink",
  "torch.nn.functional.gumbel_softmax",
  "torch.nn.functional.log_softmax",
  "torch.nn.functional.tanh",
  "torch.nn.functional.sigmoid",
  "torch.nn.functional.batch_norm",
  "torch.nn.functional.instance_norm",
  "torch.nn.functional.layer_norm",
  "torch.nn.functional.local_response_norm",
  "torch.nn.functional.normalize",
  "torch.nn.functional.linear",
  "torch.nn.functional.bilinear",
  "torch.nn.functional.dropout",
  "torch.nn.functional.alpha_dropout",
  "torch.nn.functional.dropout2d",
  "torch.nn.functional.dropout3d",
  "torch.nn.functional.embedding",
  "torch.nn.functional.embedding_bag",
  "torch.nn.functional.one_hot",
  "torch.nn.functional.pairwise_distance",
  "torch.nn.functional.cosine_similarity",
  "torch.nn.functional.pdist",
  "torch.nn.functional.binary_cross_entropy",
  "torch.nn.functional.binary_cross_entropy_with_logits",
  "torch.nn.functional.poisson_nll_loss",
  "torch.nn.functional.cosine_embedding_loss",
  "torch.nn.functional.cross_entropy",
  "torch.nn.functional.ctc_loss",
  "torch.nn.functional.log_softmax",
  "torch.nn.functional.hinge_embedding_loss",
  "torch.nn.functional.kl_div",
  "torch.nn.functional.l1_loss",
  "torch.nn.functional.mse_loss",
  "torch.nn.functional.margin_ranking_loss",
  "torch.nn.functional.multilabel_margin_loss",
  "torch.nn.functional.multilabel_soft_margin_loss",
  "torch.nn.functional.multi_margin_loss",
  "torch.nn.functional.nll_loss",
  "torch.nn.functional.smooth_l1_loss",
  "torch.nn.functional.soft_margin_loss",
  "torch.nn.functional.triplet_margin_loss",
  "torch.nn.functional.pixel_shuffle",
  "torch.nn.functional.pixel_shuffle",
  "torch.nn.functional.pad",
  "torch.nn.functional.interpolate",
  "torch.nn.functional.upsample",
  "torch.nn.functional.interpolate",
  "torch.nn.functional.upsample_nearest",
  "torch.nn.functional.interpolate",
  "torch.nn.functional.upsample_bilinear",
  "torch.nn.functional.interpolate",
  "torch.nn.functional.grid_sample",
  "torch.nn.functional.affine_grid"
]