* Performs non maximum suppression of bounding boxes based on * iou (intersection over union). * * This is the async version of `nonMaxSuppression`

* Asynchronously performs non maximum suppression of bounding boxes based on * iou (intersection over union), with an option to pad results. * * @p

* Asynchronously performs non maximum suppression of bounding boxes based on * iou (intersection over union), with an option to pad results. * * @p

* Asynchronously performs non maximum suppression of bounding boxes based on * iou (intersection over union). * * This op also supports a Soft-NMS

* Performs non maximum suppression of bounding boxes based on * iou (intersection over union). * * This op also supports a Soft-NMS mode (cf. * Bo

* Performs non maximum suppression of bounding boxes based on * iou (intersection over union). * * @param boxes a 2d tensor of shape `[numBoxes, 4]

* Computes the norm of scalar, vectors, and matrices. * This function can compute several different vector norms (the 1-norm, the * Euclidean or 2-n

* Normalize user input to the generate function. * * This function converts all inputs to tensors, adds a batch dimension if * necessary, and

* Normalize user output from the generate function. * * This function converts all output to numpy (for integer output), or * python strings

Convert AddV2 ops and Add ops to BiasAdd if they could be fused with the ancestor node. Grappler and the TFJS's fusing pass for DepthwiseConv2D c

* Returns the truth value of (a != b) element-wise. Supports broadcasting. * * ```js * const a = tf.tensor1d([1, 2, 3]); * const b = tf.tensor1d([

* Called at the end of a batch. * @param batch Index of batch within the current epoch. * @param logs Dictionary of logs.

* Called at the start of an epoch. * @param epoch Index of epoch. * @param logs Dictionary of logs.

* Called at the end of an epoch. * @param epoch Index of epoch. * @param logs Dictionary of logs.

* Callback for GL context creation. We do more of the work of setting * up the component here. * @param gl

* Called at the beginning of training. * @param logs Dictionary of logs.

* Called at the end of training. * @param logs Dictionary of logs.

* Creates a one-hot `tf.Tensor`. The locations represented by `indices` take * value `onValue` (defaults to 1), while all other locations take value

* Creates a `tf.Tensor` with all elements set to 1 with the same shape as the * given tensor. * * ```js * const x = tf.tensor([1, 2]); * tf.onesL

Opens the file at given path, where path is relative to tensorflowjs/. Args: path: a string resource path relative to tensorflowjs/. Returns

* Computes the outer product of two vectors, `v1` and `v2`. * * ```js * const a = tf.tensor1d([1, 2, 3]); * const b = tf.tensor1d([3, 4, 5]); *

* Retrieves the output tensor(s) of a layer. * * Only applicable if the layer has exactly one inbound node, * i.e. if it is connected to one

* Retrieves the output shape(s) of a layer. * * Only applicable if the layer has only one inbound node, or if all inbound * nodes have the sa

* Return the array of output tensor info. * * @doc {heading: 'Models', subheading: 'SavedModel'}