# Copyright (c) 2022 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_cost import CompOpCost, register_op_cost


@register_op_cost
class AdamOpCost(CompOpCost):
    OP_TYPE = "adam"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ArgsortOpCost(CompOpCost):
    OP_TYPE = "argsort"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class AssignOpCost(CompOpCost):
    OP_TYPE = "assign"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class AssignValueOpCost(CompOpCost):
    OP_TYPE = "assign_value"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class BeamSearchOpCost(CompOpCost):
    OP_TYPE = "beam_search"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class BeamSearchDecodeOpCost(CompOpCost):
    OP_TYPE = "beam_search_decode"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class CastOpCost(CompOpCost):
    OP_TYPE = "cast"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ConcatOpCost(CompOpCost):
    OP_TYPE = "concat"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class DropoutOpCost(CompOpCost):
    OP_TYPE = "dropout"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class DropoutGradOpCost(CompOpCost):
    OP_TYPE = "dropout_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseAddOpCost(CompOpCost):
    OP_TYPE = "elementwise_add"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseAddGradOpCost(CompOpCost):
    OP_TYPE = "elementwise_add_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseDivOpCost(CompOpCost):
    OP_TYPE = "elementwise_div"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseDivGradOpCost(CompOpCost):
    OP_TYPE = "elementwise_div_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseMulOpCost(CompOpCost):
    OP_TYPE = "elementwise_mul"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseMulGradOpCost(CompOpCost):
    OP_TYPE = "elementwise_mul_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseSubOpCost(CompOpCost):
    OP_TYPE = "elementwise_sub"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ElementwiseSubGradOpCost(CompOpCost):
    OP_TYPE = "elementwise_sub_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class EqualOpCost(CompOpCost):
    OP_TYPE = "equal"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class EmbeddingOpCost(CompOpCost):
    OP_TYPE = "c_embedding"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class EmbeddingGradOpCost(CompOpCost):
    OP_TYPE = "c_embedding_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class FillConstantOpCost(CompOpCost):
    OP_TYPE = "fill_constant"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class FillConstantBatchSizeLikeOpCost(CompOpCost):
    OP_TYPE = "fill_constant_batch_size_like"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class FusedSoftmaxMaskUpperTriangleOpCost(CompOpCost):
    OP_TYPE = "fused_softmax_mask_upper_triangle"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class FusedSoftmaxMaskUpperTriangleGradOpCost(CompOpCost):
    OP_TYPE = "fused_softmax_mask_upper_triangle_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class GatherOpCost(CompOpCost):
    OP_TYPE = "gather"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class GeluOpCost(CompOpCost):
    OP_TYPE = "gelu"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class GeluGradOpCost(CompOpCost):
    OP_TYPE = "gelu_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class GreaterEqualOpCost(CompOpCost):
    OP_TYPE = "greater_equal"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class IncrementOpCost(CompOpCost):
    OP_TYPE = "increment"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class IsEmptyOpCost(CompOpCost):
    OP_TYPE = "is_empty"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LayerNormOpCost(CompOpCost):
    OP_TYPE = "layer_norm"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LayerNormGradOpCost(CompOpCost):
    OP_TYPE = "layer_norm_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LessThanOpCost(CompOpCost):
    OP_TYPE = "less_than"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LogicalNotOpCost(CompOpCost):
    OP_TYPE = "logical_not"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LogicalAndOpCost(CompOpCost):
    OP_TYPE = "logical_and"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LodResetOpCost(CompOpCost):
    OP_TYPE = "lod_reset"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LogOpCost(CompOpCost):
    OP_TYPE = "log"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LookupTableV2OpCost(CompOpCost):
    OP_TYPE = "lookup_table_v2"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class LookupTableV2GradOpCost(CompOpCost):
    OP_TYPE = "lookup_table_v2_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class MatmulOpCost(CompOpCost):
    OP_TYPE = "matmul"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class MatmulGradOpCost(CompOpCost):
    OP_TYPE = "matmul_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class MatmulV2OpCost(CompOpCost):
    OP_TYPE = "matmul_v2"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class MatmulV2GradOpCost(CompOpCost):
    OP_TYPE = "matmul_v2_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class MemcpyOpCost(CompOpCost):
    OP_TYPE = "memcpy"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class MulOpCost(CompOpCost):
    OP_TYPE = "mul"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class MulGradOpCost(CompOpCost):
    OP_TYPE = "mul_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class OneHotOpCost(CompOpCost):
    OP_TYPE = "one_hot"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ReadFromArrayOpCost(CompOpCost):
    OP_TYPE = "read_from_array"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ReduceSumOpCost(CompOpCost):
    OP_TYPE = "reduce_sum"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ReduceSumGradOpCost(CompOpCost):
    OP_TYPE = "reduce_sum_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class Reshape2OpCost(CompOpCost):
    OP_TYPE = "reshape2"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class Reshape2GradOpCost(CompOpCost):
    OP_TYPE = "reshape2_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ReduceMeanOpCost(CompOpCost):
    OP_TYPE = "reduce_mean"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ReduceMeanGradOpCost(CompOpCost):
    OP_TYPE = "reduce_mean_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ScaleOpCost(CompOpCost):
    OP_TYPE = "scale"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class ShapeOpCost(CompOpCost):
    OP_TYPE = "shape"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SliceOpCost(CompOpCost):
    OP_TYPE = "slice"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SoftmaxOpCost(CompOpCost):
    OP_TYPE = "softmax"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SoftmaxGradOpCost(CompOpCost):
    OP_TYPE = "softmax_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SoftmaxWithCrossEntropyOpCost(CompOpCost):
    OP_TYPE = "softmax_with_cross_entropy"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SoftmaxWithCrossEntropyGradOpCost(CompOpCost):
    OP_TYPE = "softmax_with_cross_entropy_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SplitOpCost(CompOpCost):
    OP_TYPE = "split"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class Squeeze2OpCost(CompOpCost):
    OP_TYPE = "squeeze2"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SquareOpCost(CompOpCost):
    OP_TYPE = "square"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SquareGradOpCost(CompOpCost):
    OP_TYPE = "square_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class SumOpCost(CompOpCost):
    OP_TYPE = "sum"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class TopKOpCost(CompOpCost):
    OP_TYPE = "top_k"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class Transpose2OpCost(CompOpCost):
    OP_TYPE = "transpose2"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class Transpose2GradOpCost(CompOpCost):
    OP_TYPE = "transpose2_grad"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class Unsqueeze2OpCost(CompOpCost):
    OP_TYPE = "unsqueeze2"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)


@register_op_cost
class WriteToArrayOpCost(CompOpCost):
    OP_TYPE = "write_to_array"

    def __init__(self, op=None, op_desc=None, cluster=None, rank=None):
        super().__init__(op=op, op_desc=op_desc, cluster=cluster, rank=rank)