Initial import: grid-bot — grid trading bot for BTC-USDT on Cifra Markets
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Kolp
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# Copyright (c) Facebook, Inc. and its affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import torch
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# pointwise operators can go through a faster pathway
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tensor_magic_methods = ["add", ""]
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pointwise_magic_methods_with_reverse = (
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"add",
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"sub",
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"mul",
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"floordiv",
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"div",
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"truediv",
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"mod",
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"pow",
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"lshift",
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"rshift",
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"and",
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"or",
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"xor",
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)
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pointwise_magic_methods = (
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*(x for m in pointwise_magic_methods_with_reverse for x in (m, "r" + m)),
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"eq",
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"gt",
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"le",
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"lt",
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"ge",
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"gt",
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"ne",
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"neg",
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"pos",
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"abs",
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"invert",
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"iadd",
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"isub",
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"imul",
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"ifloordiv",
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"idiv",
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"itruediv",
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"imod",
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"ipow",
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"ilshift",
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"irshift",
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"iand",
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"ior",
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"ixor",
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"int",
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"long",
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"float",
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"complex",
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)
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pointwise_methods = (*(f"__{m}__" for m in pointwise_magic_methods),)
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pointwise = (
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*(getattr(torch.Tensor, m) for m in pointwise_methods),
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torch.nn.functional.dropout,
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torch.where,
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torch.Tensor.abs,
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torch.abs,
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torch.Tensor.acos,
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torch.acos,
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torch.Tensor.acosh,
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torch.acosh,
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torch.Tensor.add,
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torch.add,
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torch.Tensor.addcdiv,
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torch.addcdiv,
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torch.Tensor.addcmul,
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torch.addcmul,
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torch.Tensor.addr,
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torch.addr,
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torch.Tensor.angle,
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torch.angle,
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torch.Tensor.asin,
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torch.asin,
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torch.Tensor.asinh,
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torch.asinh,
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torch.Tensor.atan,
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torch.atan,
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torch.Tensor.atan2,
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torch.atan2,
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torch.Tensor.atanh,
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torch.atanh,
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torch.Tensor.bitwise_and,
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torch.bitwise_and,
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torch.Tensor.bitwise_left_shift,
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torch.bitwise_left_shift,
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torch.Tensor.bitwise_not,
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torch.bitwise_not,
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torch.Tensor.bitwise_or,
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torch.bitwise_or,
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torch.Tensor.bitwise_right_shift,
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torch.bitwise_right_shift,
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torch.Tensor.bitwise_xor,
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torch.bitwise_xor,
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torch.Tensor.ceil,
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torch.ceil,
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torch.celu,
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torch.nn.functional.celu,
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torch.Tensor.clamp,
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torch.clamp,
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torch.Tensor.clamp_max,
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torch.clamp_max,
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torch.Tensor.clamp_min,
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torch.clamp_min,
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torch.Tensor.copysign,
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torch.copysign,
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torch.Tensor.cos,
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torch.cos,
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torch.Tensor.cosh,
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torch.cosh,
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torch.Tensor.deg2rad,
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torch.deg2rad,
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torch.Tensor.digamma,
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torch.digamma,
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torch.Tensor.div,
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torch.div,
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torch.dropout,
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torch.nn.functional.dropout,
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torch.nn.functional.elu,
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torch.Tensor.eq,
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torch.eq,
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torch.Tensor.erf,
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torch.erf,
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torch.Tensor.erfc,
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torch.erfc,
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torch.Tensor.erfinv,
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torch.erfinv,
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torch.Tensor.exp,
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torch.exp,
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torch.Tensor.exp2,
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torch.exp2,
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torch.Tensor.expm1,
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torch.expm1,
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torch.feature_dropout,
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torch.Tensor.float_power,
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torch.float_power,
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torch.Tensor.floor,
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torch.floor,
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torch.Tensor.floor_divide,
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torch.floor_divide,
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torch.Tensor.fmod,
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torch.fmod,
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torch.Tensor.frac,
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torch.frac,
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torch.Tensor.frexp,
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torch.frexp,
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torch.Tensor.gcd,
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torch.gcd,
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torch.Tensor.ge,
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torch.ge,
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torch.nn.functional.gelu,
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torch.nn.functional.glu,
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torch.Tensor.gt,
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torch.gt,
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torch.Tensor.hardshrink,
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torch.hardshrink,
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torch.nn.functional.hardshrink,
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torch.nn.functional.hardsigmoid,
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torch.nn.functional.hardswish,
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torch.nn.functional.hardtanh,
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torch.Tensor.heaviside,
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torch.heaviside,
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torch.Tensor.hypot,
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torch.hypot,
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torch.Tensor.i0,
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torch.i0,
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torch.Tensor.igamma,
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torch.igamma,
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torch.Tensor.igammac,
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torch.igammac,
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torch.Tensor.isclose,
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torch.isclose,
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torch.Tensor.isfinite,
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torch.isfinite,
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torch.Tensor.isinf,
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torch.isinf,
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torch.Tensor.isnan,
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torch.isnan,
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torch.Tensor.isneginf,
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torch.isneginf,
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torch.Tensor.isposinf,
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torch.isposinf,
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torch.Tensor.isreal,
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torch.isreal,
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torch.Tensor.kron,
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torch.kron,
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torch.Tensor.lcm,
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torch.lcm,
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torch.Tensor.ldexp,
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torch.ldexp,
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torch.Tensor.le,
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torch.le,
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torch.nn.functional.leaky_relu,
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torch.Tensor.lerp,
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torch.lerp,
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torch.Tensor.lgamma,
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torch.lgamma,
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torch.Tensor.log,
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torch.log,
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torch.Tensor.log10,
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torch.log10,
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torch.Tensor.log1p,
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torch.log1p,
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torch.Tensor.log2,
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torch.log2,
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torch.nn.functional.logsigmoid,
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torch.Tensor.logical_and,
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torch.logical_and,
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torch.Tensor.logical_not,
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torch.logical_not,
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torch.Tensor.logical_or,
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torch.logical_or,
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torch.Tensor.logical_xor,
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torch.logical_xor,
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torch.Tensor.logit,
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torch.logit,
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torch.Tensor.lt,
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torch.lt,
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torch.Tensor.maximum,
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torch.maximum,
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torch.Tensor.minimum,
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torch.minimum,
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torch.nn.functional.mish,
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torch.Tensor.mvlgamma,
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torch.mvlgamma,
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torch.Tensor.nan_to_num,
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torch.nan_to_num,
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torch.Tensor.ne,
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torch.ne,
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torch.Tensor.neg,
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torch.neg,
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torch.Tensor.nextafter,
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torch.nextafter,
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torch.Tensor.outer,
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torch.outer,
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torch.polar,
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torch.Tensor.polygamma,
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torch.polygamma,
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torch.Tensor.positive,
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torch.positive,
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torch.Tensor.pow,
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torch.pow,
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torch.Tensor.prelu,
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torch.prelu,
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torch.nn.functional.prelu,
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torch.Tensor.rad2deg,
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torch.rad2deg,
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torch.Tensor.reciprocal,
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torch.reciprocal,
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torch.Tensor.relu,
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torch.relu,
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torch.nn.functional.relu,
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torch.nn.functional.relu6,
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torch.Tensor.remainder,
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torch.remainder,
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torch.Tensor.round,
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torch.round,
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torch.rrelu,
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torch.nn.functional.rrelu,
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torch.Tensor.rsqrt,
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torch.rsqrt,
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torch.rsub,
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torch.selu,
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torch.nn.functional.selu,
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torch.Tensor.sgn,
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torch.sgn,
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torch.Tensor.sigmoid,
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torch.sigmoid,
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torch.nn.functional.sigmoid,
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torch.Tensor.sign,
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torch.sign,
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torch.Tensor.signbit,
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torch.signbit,
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torch.nn.functional.silu,
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torch.Tensor.sin,
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torch.sin,
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torch.Tensor.sinc,
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torch.sinc,
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torch.Tensor.sinh,
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torch.sinh,
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torch.nn.functional.softplus,
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torch.nn.functional.softshrink,
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torch.Tensor.sqrt,
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torch.sqrt,
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torch.Tensor.square,
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torch.square,
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torch.Tensor.sub,
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torch.sub,
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torch.Tensor.tan,
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torch.tan,
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torch.Tensor.tanh,
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torch.tanh,
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torch.nn.functional.tanh,
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torch.threshold,
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torch.nn.functional.threshold,
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torch.trapz,
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torch.Tensor.true_divide,
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torch.true_divide,
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torch.Tensor.trunc,
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torch.trunc,
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torch.Tensor.xlogy,
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torch.xlogy,
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torch.rand_like,
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)
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