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Searched refs:domain_dimension (Results 1 – 25 of 57) sorted by relevance

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/external/tensorflow/tensorflow/python/ops/linalg/
Dlinear_operator_block_lower_triangular.py295 if (op.domain_dimension is not None and
296 above_op.domain_dimension is not None):
297 if op.domain_dimension != above_op.domain_dimension:
301 op.domain_dimension, above_op.domain_dimension))
352 return [op.domain_dimension for op in self._diagonal_operators]
362 domain_dimension = sum(self._block_domain_dimensions())
364 matrix_shape = tensor_shape.TensorShape([domain_dimension, range_dimension])
382 domain_dimension = sum(self._block_domain_dimension_tensors())
384 matrix_shape = array_ops.stack([domain_dimension, range_dimension])
430 left_operator.domain_dimension is not None and
[all …]
Dlinear_operator_kronecker.py248 domain_dimension = self.operators[0].domain_dimension
250 domain_dimension = domain_dimension * operator.domain_dimension
257 range_dimension, domain_dimension])
269 domain_dimension = self.operators[0].domain_dimension_tensor()
271 domain_dimension = domain_dimension * operator.domain_dimension_tensor()
277 matrix_shape = [range_dimension, domain_dimension]
389 matrix_dimensions = [self.domain_dimension, column_dim]
506 matrix_dimensions = [self.domain_dimension, column_dim]
525 if self.range_dimension > self.domain_dimension:
526 diag_dimension = self.domain_dimension
Dlinear_operator_block_diag.py249 return [op.domain_dimension for op in self._diagonal_operators]
259 domain_dimension = sum(self._block_domain_dimensions())
261 matrix_shape = tensor_shape.TensorShape([domain_dimension, range_dimension])
278 domain_dimension = sum(self._block_domain_dimension_tensors())
280 matrix_shape = array_ops.stack([domain_dimension, range_dimension])
326 left_operator.domain_dimension is not None and
327 right_operator.range_dimension != left_operator.domain_dimension):
331 left_operator.domain_dimension, right_operator.range_dimension))
350 else self.domain_dimension)
427 else self.domain_dimension)
[all …]
Dlinear_operator_composition.py203 domain_dimension = self.operators[0].domain_dimension
205 domain_dimension.assert_is_compatible_with(operator.range_dimension)
206 domain_dimension = operator.domain_dimension
210 self.operators[-1].domain_dimension])
Dlinear_operator.py288 auto_square_check = self.domain_dimension == self.range_dimension
425 def domain_dimension(self): member in LinearOperator
461 dim_value = tensor_shape.dimension_value(self.domain_dimension)
665 left_operator.domain_dimension is not None and
666 right_operator.range_dimension != left_operator.domain_dimension):
670 left_operator.domain_dimension, right_operator.range_dimension))
858 left_operator.domain_dimension is not None and
859 right_operator.range_dimension != left_operator.domain_dimension):
863 left_operator.domain_dimension, right_operator.range_dimension))
1010 dim_value = tensor_shape.dimension_value(self.domain_dimension)
Dregistrations_util.py54 l = operator_b.domain_dimension
Dlinear_operator_addition.py199 (op.name, tensor_shape.dimension_value(op.domain_dimension))
201 if tensor_shape.dimension_value(op.domain_dimension) is not None]
/external/tensorflow/tensorflow/python/kernel_tests/linalg/
Dlinear_operator_circulant_test.py85 domain_dimension = spectrum_shape[-1]
86 if not domain_dimension:
91 for m in range(domain_dimension):
92 x = np.zeros([domain_dimension])
463 domain_dimension = spectrum_shape[-1]
464 if not domain_dimension:
Dlinear_operator_util_test.py279 def __init__(self, domain_dimension): argument
280 self._domain_dimension = ops.convert_to_tensor(domain_dimension)
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.linalg.-linear-operator.pbtxt17 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-toeplitz.pbtxt22 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-scaled-identity.pbtxt19 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-full-matrix.pbtxt18 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-householder.pbtxt18 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-tridiag.pbtxt26 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-kronecker.pbtxt18 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-diag.pbtxt22 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-lower-triangular.pbtxt18 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-identity.pbtxt19 name: "domain_dimension"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.linalg.-linear-operator-householder.pbtxt18 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-kronecker.pbtxt18 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-tridiag.pbtxt26 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-block-diag.pbtxt18 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-diag.pbtxt22 name: "domain_dimension"
Dtensorflow.linalg.-linear-operator-composition.pbtxt18 name: "domain_dimension"

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