LostTech.TensorFlow : API Documentation

Type util

Namespace tensorflow.python.ops.distributions.util

Methods

Properties

Public static methods

object assert_integer_form(ValueTuple<PythonClassContainer, PythonClassContainer> x, object data, object summarize, IGraphNodeBase message, DType int_dtype, string name)

object assert_integer_form(IGraphNodeBase x, object data, object summarize, string message, DType int_dtype, string name)

object assert_integer_form(IGraphNodeBase x, object data, object summarize, IGraphNodeBase message, DType int_dtype, string name)

object assert_integer_form(ValueTuple<PythonClassContainer, PythonClassContainer> x, object data, object summarize, string message, DType int_dtype, string name)

object assert_integer_form(double x, object data, object summarize, IGraphNodeBase message, DType int_dtype, string name)

object assert_integer_form(double x, object data, object summarize, string message, DType int_dtype, string name)

object assert_integer_form_dyn(object x, object data, object summarize, object message, object int_dtype, ImplicitContainer<T> name)

object assert_symmetric(float32 matrix)

object assert_symmetric(IEnumerable<object> matrix)

object assert_symmetric(IGraphNodeBase matrix)

object assert_symmetric_dyn(object matrix)

object dimension_size(ndarray x, int axis)

object dimension_size(IEnumerable<double> x, int axis)

object dimension_size(IGraphNodeBase x, int axis)

object dimension_size_dyn(object x, object axis)

object embed_check_categorical_event_shape(IGraphNodeBase categorical_param, string name)

object embed_check_categorical_event_shape(ndarray categorical_param, string name)

object embed_check_categorical_event_shape(IndexedSlices categorical_param, string name)

object embed_check_categorical_event_shape(IEnumerable<double> categorical_param, string name)

object embed_check_categorical_event_shape(float32 categorical_param, string name)

object embed_check_categorical_event_shape(double categorical_param, string name)

object embed_check_categorical_event_shape_dyn(object categorical_param, ImplicitContainer<T> name)

object embed_check_integer_casting_closed(ValueTuple<PythonClassContainer, PythonClassContainer> x, DType target_dtype, bool assert_nonnegative, string name)

object embed_check_integer_casting_closed(IGraphNodeBase x, DType target_dtype, bool assert_nonnegative, string name)

object embed_check_integer_casting_closed_dyn(object x, object target_dtype, ImplicitContainer<T> assert_nonnegative, ImplicitContainer<T> name)

object embed_check_nonnegative_integer_form(IGraphNodeBase x, string name)

object embed_check_nonnegative_integer_form_dyn(object x, ImplicitContainer<T> name)

Tensor fill_triangular(object x, bool upper, string name)

object fill_triangular_dyn(object x, ImplicitContainer<T> upper, object name)

Tensor fill_triangular_inverse(IGraphNodeBase x, bool upper, string name)

object fill_triangular_inverse_dyn(object x, ImplicitContainer<T> upper, object name)

Nullable<int> gen_new_seed(Nullable<int> seed, string salt)

object gen_new_seed_dyn(object seed, object salt)

object get_logits_and_probs(float32 logits, double probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(double logits, IGraphNodeBase probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(double logits, IEnumerable<double> probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(double logits, ndarray probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(float32 logits, ndarray probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(double logits, float32 probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(float32 logits, IGraphNodeBase probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(ndarray logits, double probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(ndarray logits, float32 probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(double logits, double probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(float32 logits, float32 probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(ndarray logits, ndarray probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(float32 logits, IEnumerable<double> probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IEnumerable<double> logits, double probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IEnumerable<double> logits, IGraphNodeBase probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IGraphNodeBase logits, double probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IGraphNodeBase logits, float32 probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IEnumerable<double> logits, ndarray probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IEnumerable<double> logits, IEnumerable<double> probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IGraphNodeBase logits, ndarray probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(ndarray logits, IGraphNodeBase probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(ndarray logits, IEnumerable<double> probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IGraphNodeBase logits, IEnumerable<double> probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IEnumerable<double> logits, float32 probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs(IGraphNodeBase logits, IGraphNodeBase probs, bool multidimensional, bool validate_args, string name, DType dtype)

object get_logits_and_probs_dyn(object logits, object probs, ImplicitContainer<T> multidimensional, ImplicitContainer<T> validate_args, ImplicitContainer<T> name, object dtype)

object log_combinations(IGraphNodeBase n, object counts, string name)

object log_combinations(IGraphNodeBase n, IEnumerable<object> counts, string name)

object log_combinations(IEnumerable<int> n, object counts, string name)

object log_combinations(IEnumerable<int> n, IEnumerable<object> counts, string name)

object log_combinations(ndarray n, object counts, string name)

object log_combinations(ndarray n, IEnumerable<object> counts, string name)

object log_combinations_dyn(object n, object counts, ImplicitContainer<T> name)

Tensor matrix_diag_transform(object matrix, object transform, string name)

object matrix_diag_transform_dyn(object matrix, object transform, object name)

object maybe_get_static_value(ndarray x, PythonClassContainer dtype)

object maybe_get_static_value(int x, PythonClassContainer dtype)

object maybe_get_static_value(IGraphNodeBase x, PythonClassContainer dtype)

object maybe_get_static_value_dyn(object x, object dtype)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, int value, int count, string name)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, IGraphNodeBase value, ValueTuple<PythonClassContainer, PythonClassContainer> count, string name)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, IGraphNodeBase value, IGraphNodeBase count, string name)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, int value, IGraphNodeBase count, string name)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, int value, ValueTuple<PythonClassContainer, PythonClassContainer> count, string name)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, int value, IndexedSlices count, string name)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, IGraphNodeBase value, int count, string name)

Tensor pad(IGraphNodeBase x, int axis, bool front, bool back, IGraphNodeBase value, IndexedSlices count, string name)

object pad_dyn(object x, object axis, ImplicitContainer<T> front, ImplicitContainer<T> back, ImplicitContainer<T> value, ImplicitContainer<T> count, object name)

IDictionary<object, object> parent_frame_arguments()

object parent_frame_arguments_dyn()

object pick_vector(IGraphNodeBase cond, object true_vector, object false_vector, string name)

object pick_vector(IGraphNodeBase cond, IGraphNodeBase true_vector, object false_vector, string name)

object pick_vector(IGraphNodeBase cond, int true_vector, object false_vector, string name)

object pick_vector(IGraphNodeBase cond, TensorShape true_vector, object false_vector, string name)

object pick_vector(IGraphNodeBase cond, Dimension true_vector, object false_vector, string name)

object pick_vector(IGraphNodeBase cond, ndarray true_vector, object false_vector, string name)

object pick_vector(IGraphNodeBase cond, int32 true_vector, object false_vector, string name)

object pick_vector(IGraphNodeBase cond, IEnumerable<object> true_vector, object false_vector, string name)

object pick_vector_dyn(object cond, object true_vector, object false_vector, ImplicitContainer<T> name)

object prefer_static_broadcast_shape(ndarray shape1, IGraphNodeBase shape2, string name)

object prefer_static_broadcast_shape(ndarray shape1, int shape2, string name)

object prefer_static_broadcast_shape(ndarray shape1, TensorShape shape2, string name)

object prefer_static_broadcast_shape(ndarray shape1, Dimension shape2, string name)

object prefer_static_broadcast_shape_dyn(object shape1, object shape2, ImplicitContainer<T> name)

object prefer_static_rank(IGraphNodeBase x)

object prefer_static_rank_dyn(object x)

object prefer_static_shape(IGraphNodeBase x)

object prefer_static_shape_dyn(object x)

object prefer_static_value(IGraphNodeBase x)

object prefer_static_value_dyn(object x)

ValueTuple<Tensor, object> process_quadrature_grid_and_probs(object quadrature_grid_and_probs, DType dtype, object validate_args, string name)

object process_quadrature_grid_and_probs_dyn(object quadrature_grid_and_probs, object dtype, object validate_args, object name)

object reduce_weighted_logsumexp(IGraphNodeBase logx, IGraphNodeBase w, int axis, bool keep_dims, bool return_sign, string name)

object reduce_weighted_logsumexp(IGraphNodeBase logx, IGraphNodeBase w, IEnumerable<int> axis, bool keep_dims, bool return_sign, string name)

object reduce_weighted_logsumexp_dyn(object logx, object w, object axis, ImplicitContainer<T> keep_dims, ImplicitContainer<T> return_sign, object name)

object rotate_transpose(ndarray x, int shift, string name)

object rotate_transpose(IGraphNodeBase x, int shift, string name)

object rotate_transpose(ValueTuple<PythonClassContainer, PythonClassContainer> x, int shift, string name)

object rotate_transpose(ValueTuple<PythonClassContainer, PythonClassContainer> x, IGraphNodeBase shift, string name)

object rotate_transpose(ndarray x, IGraphNodeBase shift, string name)

object rotate_transpose(IGraphNodeBase x, IGraphNodeBase shift, string name)

object rotate_transpose_dyn(object x, object shift, ImplicitContainer<T> name)

object same_dynamic_shape(IEnumerable<double> a, IGraphNodeBase b)

object same_dynamic_shape(IGraphNodeBase a, IGraphNodeBase b)

object same_dynamic_shape_dyn(object a, object b)

Tensor softplus_inverse(IGraphNodeBase x, string name)

object softplus_inverse_dyn(object x, object name)

object tridiag(IGraphNodeBase below, IGraphNodeBase diag, IEnumerable<double> above, string name)

object tridiag(IGraphNodeBase below, IEnumerable<double> diag, IGraphNodeBase above, string name)

object tridiag(IEnumerable<double> below, IEnumerable<double> diag, IEnumerable<double> above, string name)

object tridiag(IEnumerable<double> below, IGraphNodeBase diag, IGraphNodeBase above, string name)

object tridiag(IEnumerable<double> below, IGraphNodeBase diag, IEnumerable<double> above, string name)

object tridiag(IEnumerable<double> below, IEnumerable<double> diag, IGraphNodeBase above, string name)

object tridiag(IGraphNodeBase below, IEnumerable<double> diag, IEnumerable<double> above, string name)

object tridiag(IGraphNodeBase below, IGraphNodeBase diag, IGraphNodeBase above, string name)

object tridiag_dyn(object below, object diag, object above, object name)

Public properties

PythonFunctionContainer AppendDocstring_fn get;

PythonFunctionContainer assert_integer_form_fn get;

PythonFunctionContainer assert_symmetric_fn get;

PythonFunctionContainer dimension_size_fn get;

PythonFunctionContainer embed_check_categorical_event_shape_fn get;

PythonFunctionContainer embed_check_integer_casting_closed_fn get;

PythonFunctionContainer embed_check_nonnegative_integer_form_fn get;

PythonFunctionContainer fill_triangular_fn get;

PythonFunctionContainer fill_triangular_inverse_fn get;

PythonFunctionContainer gen_new_seed_fn get;

PythonFunctionContainer get_logits_and_probs_fn get;

PythonFunctionContainer log_combinations_fn get;

PythonFunctionContainer matrix_diag_transform_fn get;

PythonFunctionContainer maybe_get_static_value_fn get;

PythonFunctionContainer parent_frame_arguments_fn get;

PythonFunctionContainer pick_vector_fn get;

PythonFunctionContainer prefer_static_broadcast_shape_fn get;

PythonFunctionContainer prefer_static_rank_fn get;

PythonFunctionContainer prefer_static_shape_fn get;

PythonFunctionContainer prefer_static_value_fn get;

PythonFunctionContainer process_quadrature_grid_and_probs_fn get;

PythonFunctionContainer reduce_weighted_logsumexp_fn get;

PythonFunctionContainer rotate_transpose_fn get;

PythonFunctionContainer same_dynamic_shape_fn get;

PythonFunctionContainer softplus_inverse_fn get;

PythonFunctionContainer tridiag_fn get;