Returns next sample from a Gaussian distribution.

Remove suffix ":0" (if present) from weight name.

Check the existence of the output path. Args: output_path: input path of the model. Returns: bool: return true when the output directory e

* Helper method to loop over some data in batches. * * Porting Note: Not using the functional approach in the Python equivalent * due to th

* Returns predictions for a single batch of samples. * * @param x: Input samples, as a Tensor, or list of Tensors (if the model * has multi

* Registers the class as serializable.

* Register a save-handler router. * * @param saveRouter A function that maps a URL-like string onto an instance * of `IOHandler` with the `sa

* Runs a benchmark with a preconfigured file * * @param file Relative filepath to preset benchmark configuration * @param runBenchmark Function to

* Internal helper method to execute a kernel Func * * Use `runKernel` to execute kernels from outside of engine.

* Sets the weights of the model. * * @param weights Should be a list of Tensors with shapes and types matching * the output of `model.getWe

* Show flag settings for the given backend under the UI element of * `folderController`. * * @param {dat.gui.GUI} folderController * @param {strin

* Standardize the output of a dataset iterator for use by * LayersModel.fitDataset(). * * @param model: A `tf.LayersModel` object. * @param iterat

* Await the values of all losses and metrics.