LostTech.TensorFlow : API Documentation

Type random_ops

Namespace tensorflow.python.ops.random_ops

Methods

Properties

Public static methods

Tensor multinomial_categorical_impl(float32 logits, IEnumerable<object> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(double logits, IndexedSlices num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(double logits, ValueTuple<PythonClassContainer, PythonClassContainer> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(double logits, IEnumerable<object> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IGraphNodeBase logits, IGraphNodeBase num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(double logits, int num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IGraphNodeBase logits, IndexedSlices num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IGraphNodeBase logits, ValueTuple<PythonClassContainer, PythonClassContainer> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IGraphNodeBase logits, IEnumerable<object> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IndexedSlices logits, IGraphNodeBase num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IndexedSlices logits, int num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IndexedSlices logits, IndexedSlices num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IndexedSlices logits, ValueTuple<PythonClassContainer, PythonClassContainer> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IndexedSlices logits, IEnumerable<object> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IGraphNodeBase logits, int num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IEnumerable<IGraphNodeBase> logits, int num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(float32 logits, ValueTuple<PythonClassContainer, PythonClassContainer> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(float32 logits, IndexedSlices num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(float32 logits, int num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IEnumerable<IGraphNodeBase> logits, IGraphNodeBase num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(float32 logits, IGraphNodeBase num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(ndarray logits, IEnumerable<object> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(double logits, IGraphNodeBase num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(ndarray logits, IndexedSlices num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(ndarray logits, int num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IEnumerable<IGraphNodeBase> logits, IndexedSlices num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IEnumerable<IGraphNodeBase> logits, ValueTuple<PythonClassContainer, PythonClassContainer> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(IEnumerable<IGraphNodeBase> logits, IEnumerable<object> num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(ndarray logits, IGraphNodeBase num_samples, DType dtype, Nullable<int> seed)

Tensor multinomial_categorical_impl(ndarray logits, ValueTuple<PythonClassContainer, PythonClassContainer> num_samples, DType dtype, Nullable<int> seed)

object multinomial_categorical_impl_dyn(object logits, object num_samples, object dtype, object seed)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, int stddevs, int minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, int stddevs, int minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, int stddevs, double minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, int stddevs, double minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, double stddevs, int minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, double stddevs, double minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, double stddevs, double minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, int stddevs, int minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, int stddevs, int minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, int stddevs, double minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, double stddevs, int minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, double stddevs, int minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, double stddevs, double minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, double stddevs, double minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, int means, double stddevs, int minvals, double maxvals, ImplicitContainer<T> dtype, object seed, string name)

Tensor parameterized_truncated_normal(IEnumerable<int> shape, double means, int stddevs, double minvals, int maxvals, ImplicitContainer<T> dtype, object seed, string name)

object parameterized_truncated_normal_dyn(object shape, ImplicitContainer<T> means, ImplicitContainer<T> stddevs, ImplicitContainer<T> minvals, ImplicitContainer<T> maxvals, ImplicitContainer<T> dtype, object seed, object name)

Public properties

PythonFunctionContainer multinomial_categorical_impl_fn get;

PythonFunctionContainer parameterized_truncated_normal_fn get;