| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| invert.py | 102 def _forward(self, x, **kwargs): member in class:Invert
106 return self.bijector._forward(y, **kwargs) # pylint: disable=protected-access
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| matrix_inverse_tril.py | 82 def _forward(self, x): member in class:MatrixInverseTriL
89 return self._forward(y)
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| sigmoid.py | 49 def _forward(self, x): member in class:Sigmoid
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| square.py | 75 def _forward(self, x): member in class:Square
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| transform_diagonal.py | 73 def _forward(self, x): member in class:TransformDiagonal
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| absolute_value.py | 101 def _forward(self, x): member in class:AbsoluteValue
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| softsign.py | 69 def _forward(self, x): member in class:Softsign
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| affine_scalar.py | 127 def _forward(self, x): member in class:AffineScalar
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| inline.py | 135 def _forward(self, x, **kwargs): member in class:Inline
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| permute.py | 136 def _forward(self, x): member in class:Permute
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| softplus.py | 116 def _forward(self, x): member in class:Softplus
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| affine_linear_operator.py | 177 def _forward(self, x): member in class:AffineLinearOperator
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| cholesky_outer_product.py | 96 def _forward(self, x): member in class:CholeskyOuterProduct
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| fill_triangular.py | 96 def _forward(self, x): member in class:FillTriangular
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| gumbel.py | 103 def _forward(self, x): member in class:Gumbel
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| kumaraswamy.py | 103 def _forward(self, x): member in class:Kumaraswamy
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| ordered.py | 98 def _forward(self, x): member in class:Ordered
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| power_transform.py | 88 def _forward(self, x): member in class:PowerTransform
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| sinh_arcsinh.py | 156 def _forward(self, x): member in class:SinhArcsinh
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| softmax_centered.py | 106 def _forward(self, x): member in class:SoftmaxCentered
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| weibull.py | 112 def _forward(self, x): member in class:Weibull
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| identity_bijector.py | 62 def _forward(self, x): member in class:Identity
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| bijector_impl.py | 238 def _forward(self, x):
379 def _forward(self, x):
400 - `_forward`,
420 to implement all of `_forward` and `_inverse` functions.
424 1. Sampling (e.g., `sample`) only requires `_forward`.
431 transform a distribution. (Note: `_forward` could theoretically be
732 def _forward(self, x): member in class:Bijector
741 return self._forward(x, **kwargs)
745 mapping = mapping.merge(y=self._forward(x, **kwargs))
762 NotImplementedError: if `_forward` is not implemented
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
| conditional_bijector_test.py | 37 def _forward(self, _, arg1, arg2): member in class:_TestBijector
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| conditional_transformed_distribution_test.py | 50 def _forward(self, x, z): member in class:_ChooseLocation
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