* Read tensor to a new GPUBuffer. * @param dataId The source tensor.

* Read tensor to a new texture that is densely packed for ease of use. * @param dataId The source tensor. * @param options * customTexSha

Load weight values according to a TensorFlow.js weights manifest. Args: weights_manifest: A TensorFlow.js-format weights manifest (a JSON array

* Returns the real part of a complex (or real) tensor. * * Given a tensor input, this operation returns a tensor of type float that is * the real p

* Computes reciprocal of x element-wise: `1 / x` * * ```js * const x = tf.tensor1d([0, 1, 2]); * * x.reciprocal().print(); // or tf.reciprocal(x

Return refCount of a `TensorData`.

Return refCount of a `TensorData`.

Return refCount of a `TensorData`.

Return refCount of a `TensorData`.

Return refCount of a `TensorData`.

* Computes rectified linear 6 element-wise: `min(max(x, 0), 6)`. * * ```js * const x = tf.tensor1d([-1, 2, -3, 8]); * * x.relu6().print(); // or

* Computes rectified linear element-wise: `max(x, 0)`. * * ```js * const x = tf.tensor1d([-1, 2, -3, 4]); * * x.relu().print(); // or tf.relu(x)

* Remove a model specified by URL from a registered storage medium. * * ```js * // First create and save a model. * const model = tf.sequential();

Update all constants name by adding a prefix. Args: node_list: NodeDef list to update. prefix: string to add to the constant name. Return

* Helper function to render the component to the DOM. * * Note that although the visor has a parent element, it rendered via absolute * posit

* Render the component

* Repeats this dataset `count` times. * * NOTE: If this dataset is a function of global state (e.g. a random number * generator), then differ

* Reset the state of all stateful constituent layers (if any). * * Examples of stateful layers include RNN layers whose `stateful` property *

* Reset the states of the layer. * * This method of the base Layer class is essentially a no-op. * Subclasses that are stateful (e.g., statef

* Reshapes a `tf.Tensor` to a given shape. * * Given an input tensor, returns a new tensor with the same values as the * input tensor with shape `s

* Bilinear resize a single 3D image or a batch of 3D images to a new shape. * * @param images The images, of rank 4 or rank 3, of shape * `[bat

* NearestNeighbor resize a batch of 3D images to a new shape. * * @param images The images, of rank 4 or rank 3, of shape * `[batch, height, wi

* Draw items from the stream until it is exhausted. * * This can be useful when the stream has side effects but no output. In * that case, c

* Draw items from the stream until it is exhausted, or a predicate fails. * * This can be useful when the stream has side effects but no output.

* Set `ResourceManager` shared by executors of a model. * @param resourceManager: `ResourceManager` of the `GraphModel`.

* Reverses a `tf.Tensor1D`. * * @param x The input tensor.

* Reverses a `tf.Tensor2D` along a specified axis. * * @param x The input tensor. * @param axis The set of dimensions to reverse. Must be in the *

* Reverses a `tf.Tensor3D` along a specified axis. * * @param x The input tensor. * @param axis The set of dimensions to reverse. Must be in the *

* Reverses a `tf.Tensor4D` along a specified axis. * * @param x The input tensor. * @param axis The set of dimensions to reverse. Must be in the *

* Reverses a `tf.Tensor` along a specified axis. * * Also available are stricter rank-specific methods that assert that `x` is * of the given rank:

* Real value input fast Fourier transform. * * Computes the 1-dimensional discrete Fourier transform over the * inner-most dimension of the real in

* Converts images from RGB format to grayscale. * * @param image A RGB tensor to convert. The `image`'s last dimension must * be size 3 with at