path: "tensorflow.math"
tf_module {
  member_method {
    name: "abs"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "accumulate_n"
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  member_method {
    name: "acos"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "acosh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "add"
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  member_method {
    name: "add_n"
    argspec: "args=[\'inputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "angle"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "argmax"
    argspec: "args=[\'input\', \'axis\', \'name\', \'dimension\', \'output_type\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'int64\'>\"], "
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  member_method {
    name: "argmin"
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  member_method {
    name: "asin"
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  }
  member_method {
    name: "asinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "atan"
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  member_method {
    name: "atan2"
    argspec: "args=[\'y\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "atanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "bessel_i0"
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  member_method {
    name: "bessel_i0e"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "bessel_i1"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "bessel_i1e"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "betainc"
    argspec: "args=[\'a\', \'b\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "bincount"
    argspec: "args=[\'arr\', \'weights\', \'minlength\', \'maxlength\', \'dtype\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'int32\'>\"], "
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  member_method {
    name: "ceil"
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    name: "conj"
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  member_method {
    name: "cos"
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    name: "cosh"
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  }
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    name: "count_nonzero"
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    name: "cumprod"
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    name: "digamma"
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    name: "divide"
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    name: "equal"
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    name: "erf"
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    name: "erfc"
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    name: "exp"
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    name: "expm1"
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    name: "floor"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "floordiv"
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    name: "greater"
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    name: "greater_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "igamma"
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    name: "igammac"
    argspec: "args=[\'a\', \'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "imag"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "in_top_k"
    argspec: "args=[\'predictions\', \'targets\', \'k\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
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    name: "invert_permutation"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "l2_normalize"
    argspec: "args=[\'x\', \'axis\', \'epsilon\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'1e-12\', \'None\', \'None\'], "
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    name: "lbeta"
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    name: "less"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "less_equal"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "lgamma"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "log"
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  }
  member_method {
    name: "log1p"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "log_sigmoid"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "log_softmax"
    argspec: "args=[\'logits\', \'axis\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "logical_and"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_not"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_or"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "logical_xor"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'LogicalXor\'], "
  }
  member_method {
    name: "maximum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
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    name: "minimum"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
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    name: "multiply"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "negative"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "not_equal"
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    name: "polygamma"
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    name: "polyval"
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    name: "pow"
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    name: "real"
    argspec: "args=[\'input\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "reciprocal"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "reduce_all"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_any"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_logsumexp"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_max"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_mean"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_min"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_prod"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "reduce_sum"
    argspec: "args=[\'input_tensor\', \'axis\', \'keepdims\', \'name\', \'reduction_indices\', \'keep_dims\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
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    name: "rint"
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    name: "round"
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    name: "rsqrt"
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    name: "scalar_mul"
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  member_method {
    name: "segment_max"
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  member_method {
    name: "segment_mean"
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  member_method {
    name: "segment_min"
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  member_method {
    name: "segment_prod"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "segment_sum"
    argspec: "args=[\'data\', \'segment_ids\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sigmoid"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sign"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sin"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "sinh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "softmax"
    argspec: "args=[\'logits\', \'axis\', \'name\', \'dim\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
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    name: "softplus"
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  member_method {
    name: "softsign"
    argspec: "args=[\'features\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "sqrt"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "square"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "squared_difference"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "subtract"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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    name: "tan"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "tanh"
    argspec: "args=[\'x\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
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  member_method {
    name: "top_k"
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  }
  member_method {
    name: "truediv"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_max"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_mean"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_min"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_prod"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_sqrt_n"
    argspec: "args=[\'data\', \'segment_ids\', \'num_segments\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "unsorted_segment_sum"
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  }
  member_method {
    name: "xdivy"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "xlogy"
    argspec: "args=[\'x\', \'y\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "zero_fraction"
    argspec: "args=[\'value\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "zeta"
    argspec: "args=[\'x\', \'q\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}