* @brief Returns true if the index was built. * * @return Boolean indicating whether or not the index was created. */

Get a random read sample

* @brief Reinterprets the contents of the tensor as having a different type. * * Changes the element type of the tensor. The size of the element

* @brief Override current state. */

Absolute value. \param arg operand \return absolute value of \a arg template<typename T> typename enable<T,T>::type abs(T arg) { return unary_speciali

Preprocess the DataNode to obtain correctly split batch for the current if scope.

Returns a dict representation.

Return a variety of CHW and NCHW tensors with the given spatial dimensions.

Run the pipeline and extract all the traces returned as the outputs of the pipeline

Computes exponential of values in `input`. :rtype: TensorList of exp(input). If input is an integer, the result will be float, otherw

Test that uses Generator dataset as inputs to DALI pipeline

Computes float absolute value of values in `input`. :rtype: TensorList of fabs(input). If input is an integer, the result will be float,

Absolute value. \param arg operand \return absolute value of \a arg template<typename T> typename enable<T,T>::type fabs(T arg) { return unary_special

Get the file representing the given submodule nesting. List may be empty for top-level api module. When the file is accessed the firs

Returns the unique directive argument for a symbol. See lang/directives.py for details on directives. Example: # Given a

Return the number of channels, height, and width of an image as ``[channels, height, width]``. Mirrors ``torchvision.transforms.v2.funct

Return the spatial size of an image as ``[width, height]``. Mirrors ``torchvision.transforms.v2.functional.get_image_size``. .. note::

Returns the message for the underlying exception.

Default constructor.

* @brief Return true if there was data allocation */

! * \brief Compare this resource to another. * * Two resources compare equal if and only if memory allocated from one * resource can be de

* @brief Checks whether the tensor list can be viewed as a tensor, with samples * as outermost dimension. * * A the tensor list can be

Binary logarithm implementation. \param arg function argument \return function value stored in single-preicision

Return an External Source that returns batch of [True, False, <random booleans>] so we always have at least one sample that is True or False.

@brief Default constructor doesn't initialize the matrix for fundamental type.

Computes minima of corresponding values in `left` and `right`. :rtype: Tensor or Batch of the type that is calculated based on the type promotion

Please refer to the ``Normalize`` operator for more details.

Either return trace using test operator or capture it via Python API

Release buffers returned by share_outputs calls. It helps in case when output call result is consumed (copied) and buffers can be mar

Run the iterator and assert that the output is as expected

The shape of the batch. Returns the list of shapes of individual samples. Example:: >>> import nvidia.dali.exp

Square root. \param arg function argument \return square root of \a arg template<typename T> typename enable<expr,T>::type sqrt(T arg) { return functi