| /external/tensorflow/tensorflow/python/ops/ |
| linalg_ops.py | 40 def _RegularizedGramianCholesky(matrix, l2_regularizer, first_kind):
48 `l2_regularizer`=\\(\lambda\\).
57 l2_regularizer: 0-D `double` `Tensor`. Ignored if `fast=False`.
66 if isinstance(l2_regularizer, ops.Tensor) or l2_regularizer != 0:
77 gramian += l2_regularizer * identity
195 def matrix_solve_ls(matrix, rhs, l2_regularizer=0.0, fast=True, name=None):
212 `l2_regularizer`=\\(\lambda\\).
231 `l2_regularizer` is ignored.
236 l2_regularizer: 0-D `double` `Tensor`. Ignored if `fast=False`
[all...] |
| linalg_grad.py | 150 l2_regularizer = math_ops.cast(op.inputs[2], a.dtype.base_dtype)
153 a, l2_regularizer=l2_regularizer, first_kind=True)
174 l2_regularizer = math_ops.cast(op.inputs[2], a.dtype.base_dtype)
177 a, l2_regularizer=l2_regularizer, first_kind=False)
|
| /external/tensorflow/tensorflow/core/kernels/ |
| matrix_solve_ls_op_impl.h | 80 errors::InvalidArgument("l2_regularizer must be scalar, got shape ",
82 const double l2_regularizer = l2_regularizer_in.scalar<double>()(); variable
83 OP_REQUIRES(context, l2_regularizer >= 0,
84 errors::InvalidArgument("l2_regularizer must be >= 0."));
102 // min || A * X - RHS ||_F^2 + l2_regularizer ||X||_F^2
104 // (A^T * A + l2_regularizer * I) X = A^T RHS
109 if (l2_regularizer > 0) {
111 (Scalar(l2_regularizer) * Matrix::Ones(cols, 1)).asDiagonal();
118 "or provide a larger l2_regularizer > 0."));
125 // (A * A^T + l2_regularizer * I) Z = RHS, X = A^T *
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| matrix_solve_ls_op_test.py | 57 def _SolveWithNumpy(matrix, rhs, l2_regularizer=0):
58 if l2_regularizer == 0:
65 preconditioner = l2_regularizer * np.identity(cols)
70 preconditioner = l2_regularizer * np.identity(rows)
84 l2_regularizer,
86 if not fast and l2_regularizer != 0:
101 np_ans = _SolveWithNumpy(x, y, l2_regularizer=l2_regularizer)
115 a_ph, b_ph, fast=fast, l2_regularizer=l2_regularizer)
[all...] |
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| regularizers_test.py | 51 regularizers.l2_regularizer(-1.)
53 regularizers.l2_regularizer(0)
55 self.assertIsNone(regularizers.l2_regularizer(0.)(None))
60 result = sess.run(regularizers.l2_regularizer(.42)(weights))
118 l2_function = regularizers.l2_regularizer(.2)
151 regularizer = regularizers.l2_regularizer(0.0)
|
| regularizers.py | 31 'l2_regularizer',
76 def l2_regularizer(scale, scope=None): function
103 with ops.name_scope(scope, 'l2_regularizer', [weights]) as name:
133 return l2_regularizer(scale_l2, scope)
137 l2_regularizer(scale_l2)],
|
| layers_test.py | 462 regularizer = regularizers.l2_regularizer(weight_decay)
467 self.assertEqual(wd.op.name, 'Conv/kernel/Regularizer/l2_regularizer')
501 weight_decay = regularizers.l2_regularizer(0.01)
[all...] |
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| alexnet.py | 57 weights_regularizer=regularizers.l2_regularizer(weight_decay)):
|
| overfeat.py | 52 weights_regularizer=regularizers.l2_regularizer(weight_decay),
|
| resnet_utils.py | 257 weights_regularizer=regularizers.l2_regularizer(weight_decay),
|
| vgg.py | 68 weights_regularizer=regularizers.l2_regularizer(weight_decay),
|
| inception_v2.py | 636 weights_regularizer=regularizers.l2_regularizer(weight_decay)):
|
| inception_v3.py | 722 weights_regularizer=regularizers.l2_regularizer(weight_decay)):
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/ |
| hybrid_model.py | 61 self.regularizer = layers.l2_regularizer(
|
| /external/tensorflow/tensorflow/core/ops/ |
| linalg_ops.cc | 314 .Input("l2_regularizer: double")
319 ShapeHandle l2_regularizer;
320 TF_RETURN_IF_ERROR(c->WithRank(c->input(2), 0, &l2_regularizer));
414 .Input("l2_regularizer: double")
|
