Searched refs:define_unary_op (Results 1 – 4 of 4) sorted by relevance
/external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
D | nn.py | 25 relu = core.define_unary_op('relu', nn.relu) 26 relu6 = core.define_unary_op('relu6', nn.relu6) 27 crelu = core.define_unary_op('crelu', nn.crelu) 28 elu = core.define_unary_op('elu', nn.elu) 29 softplus = core.define_unary_op('softplus', nn.softplus) 31 l2_loss = core.define_unary_op('l2_loss', nn.l2_loss) 35 softmax = core.define_unary_op('softmax', nn.softmax) 36 log_softmax = core.define_unary_op('log_softmax', nn.log_softmax)
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D | core.py | 1061 def define_unary_op(op_name, elementwise_function): function 1101 abs_function = define_unary_op('abs', math_ops.abs) 1102 neg = define_unary_op('neg', math_ops.negative) 1103 sign = define_unary_op('sign', math_ops.sign) 1104 reciprocal = define_unary_op('reciprocal', math_ops.reciprocal) 1105 square = define_unary_op('square', math_ops.square) 1106 round_function = define_unary_op('round', math_ops.round) 1107 sqrt = define_unary_op('sqrt', math_ops.sqrt) 1108 rsqrt = define_unary_op('rsqrt', math_ops.rsqrt) 1109 exp = define_unary_op('exp', math_ops.exp) [all …]
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/external/tensorflow/tensorflow/contrib/labeled_tensor/ |
D | README.md | 57 To easily add your own, you can use the `define_unary_op`, `define_binary_op` 60 log = lt.define_unary_op('log', tf.log)
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D | __init__.py | 48 define_unary_op = _core.define_unary_op variable
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