path: "tensorflow.sparse"
tf_module {
  member {
    name: "SparseConditionalAccumulator"
    mtype: "<type \'type\'>"
  }
  member {
    name: "SparseTensor"
    mtype: "<type \'type\'>"
  }
  member_method {
    name: "add"
    argspec: "args=[\'a\', \'b\', \'thresh\'], varargs=None, keywords=None, defaults=[\'0\'], "
  }
  member_method {
    name: "concat"
    argspec: "args=[\'axis\', \'sp_inputs\', \'name\', \'expand_nonconcat_dim\', \'concat_dim\'], varargs=None, keywords=None, defaults=[\'None\', \'False\', \'None\'], "
  }
  member_method {
    name: "cross"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "cross_hashed"
    argspec: "args=[\'inputs\', \'num_buckets\', \'hash_key\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'None\', \'None\'], "
  }
  member_method {
    name: "expand_dims"
    argspec: "args=[\'sp_input\', \'axis\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "eye"
    argspec: "args=[\'num_rows\', \'num_columns\', \'dtype\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \"<dtype: \'float32\'>\", \'None\'], "
  }
  member_method {
    name: "fill_empty_rows"
    argspec: "args=[\'sp_input\', \'default_value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "mask"
    argspec: "args=[\'a\', \'mask_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "matmul"
    argspec: "args=[\'sp_a\', \'b\', \'adjoint_a\', \'adjoint_b\', \'name\'], varargs=None, keywords=None, defaults=[\'False\', \'False\', \'None\'], "
  }
  member_method {
    name: "maximum"
    argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "merge"
    argspec: "args=[\'sp_ids\', \'sp_values\', \'vocab_size\', \'name\', \'already_sorted\'], varargs=None, keywords=None, defaults=[\'None\', \'False\'], "
  }
  member_method {
    name: "minimum"
    argspec: "args=[\'sp_a\', \'sp_b\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "placeholder"
    argspec: "args=[\'dtype\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "reduce_max"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_max_sparse"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_sum"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reduce_sum_sparse"
    argspec: "args=[\'sp_input\', \'axis\', \'keepdims\', \'reduction_axes\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "reorder"
    argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reset_shape"
    argspec: "args=[\'sp_input\', \'new_shape\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "reshape"
    argspec: "args=[\'sp_input\', \'shape\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "retain"
    argspec: "args=[\'sp_input\', \'to_retain\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "segment_mean"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "segment_sqrt_n"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "segment_sum"
    argspec: "args=[\'data\', \'indices\', \'segment_ids\', \'name\', \'num_segments\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "slice"
    argspec: "args=[\'sp_input\', \'start\', \'size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "softmax"
    argspec: "args=[\'sp_input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "split"
    argspec: "args=[\'keyword_required\', \'sp_input\', \'num_split\', \'axis\', \'name\', \'split_dim\'], varargs=None, keywords=None, defaults=[\'KeywordRequired()\', \'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "to_dense"
    argspec: "args=[\'sp_input\', \'default_value\', \'validate_indices\', \'name\'], varargs=None, keywords=None, defaults=[\'0\', \'True\', \'None\'], "
  }
  member_method {
    name: "to_indicator"
    argspec: "args=[\'sp_input\', \'vocab_size\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "transpose"
    argspec: "args=[\'sp_input\', \'perm\', \'name\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
}