Fix typos in the documentation strings of the tfjs-core directory (#8413)

Author: gaikwadrahul8

tfjs-core/scripts/cloud_funcs/README.md

@@ -1,7 +1,7 @@
 This directory contains the following Google Cloud Functions.
 
 ### `trigger_nightly`
-Programatically triggers a Cloud Build on master. This function is called by the Cloud Scheduler at 3am EST every day (configurable via the Cloud Scheduler UI).
+Programmatically triggers a Cloud Build on master. This function is called by the Cloud Scheduler at 3am EST every day (configurable via the Cloud Scheduler UI).
 You can also trigger the function manually via the Cloud UI.
 
 Command to re-deploy:
@@ -45,6 +45,6 @@ gcloud functions deploy sync_reactnative \
 The pipeline looks like this:
 
 1) At 3am, Cloud Scheduler writes to `nightly` topic
-2) That triggers the `nightly` function, which starts a build programatically
+2) That triggers the `nightly` function, which starts a build programmatically
 3) That build runs and writes its status to `cloud-builds` topic
 4) That triggers the `send_email` function, which sends email and chat with the build status.

tfjs-core/src/backends/complex_util.ts

@@ -87,7 +87,7 @@ export function complexWithEvenIndex(complex: Float32Array):
 }
 
 /**
- * Extracts odd indexed comple values in the given array.
+ * Extracts odd indexed complete values in the given array.
  * @param complex The complex tensor values
  */
 export function complexWithOddIndex(complex: Float32Array):

tfjs-core/src/backends/einsum_util.ts

@@ -167,7 +167,7 @@ export function checkEinsumDimSizes(
  *
  * @param summedDims indices to the dimensions being summed over.
  * @param idDims A look up table for the dimensions present in each input
- *     tensor. Each consituent array contains indices for the dimensions in the
+ *     tensor.Each constituent array contains indices for the dimensions in the
  *     corresponding input tensor.
  *
  * @return A map with two fields:

tfjs-core/src/backends/non_max_suppression_impl.ts

@@ -188,7 +188,7 @@ function intersectionOverUnion(boxes: TypedArray, i: number, j: number) {
 
 // A Gaussian penalty function, this method always returns values in [0, 1].
 // The weight is a function of similarity, the more overlap two boxes are, the
-// smaller the weight is, meaning highly overlapping boxe will be significantly
+// smaller the weight is,meaning highly overlapping boxes will be significantly
 // penalized. On the other hand, a non-overlapping box will not be penalized.
 function suppressWeight(iouThreshold: number, scale: number, iou: number) {
   const weight = Math.exp(scale * iou * iou);

tfjs-core/src/engine.ts

@@ -313,7 +313,7 @@ export class Engine implements TensorTracker, DataMover {
   /**
    * Initializes a backend by looking up the backend name in the factory
    * registry and calling the factory method. Returns a boolean representing
-   * whether the initialization of the backend suceeded. Throws an error if
+   * whether the initialization of the backend succeeded. Throws an error if
    * there is no backend in the factory registry.
    */
   private initializeBackend(backendName: string):

tfjs-core/src/engine_test.ts

@@ -243,7 +243,7 @@ describe('Backend registration', () => {
          throw new Error('failed to create async2');
        }, 101 /* priority */);
 
-       // Await for the library to find the best backend that succesfully
+       // Await for the library to find the best backend that successfully
        // initializes.
        await tf.ready();
        expect(tf.backend()).toEqual(testBackend);

tfjs-core/src/io/browser_files_test.ts

@@ -259,7 +259,7 @@ describeWithFlags('browserDownloads', BROWSER_ENVS, () => {
     // Verify that the default file names are used.
     expect(jsonAnchor.download).toEqual('model.json');
     expect(jsonAnchor.clicked).toEqual(1);
-    // The weight file should not have been downoaded.
+    // The weight file should not have been downloaded.
     expect(weightDataAnchor.download).toEqual(undefined);
     expect(weightDataAnchor.clicked).toEqual(0);
 

tfjs-core/src/io/composite_array_buffer.ts

@@ -91,7 +91,7 @@ export class CompositeArrayBuffer {
       start = end;
     }
 
-    // Set the byteLenghth
+    // Set the byteLength
     if (this.shards.length === 0) {
       this.byteLength = 0;
     }

tfjs-core/src/io/http.ts

@@ -324,7 +324,7 @@ IORouterRegistry.registerLoadRouter(httpRouter);
  * The following GitHub Gist
  * https://gist.github.com/dsmilkov/1b6046fd6132d7408d5257b0976f7864
  * implements a server based on [flask](https://github.com/pallets/flask) that
- * can receive the request. Upon receiving the model artifacts via the requst,
+ * can receive the request. Upon receiving the model artifacts via the request,
  * this particular server reconstitutes instances of [Keras
  * Models](https://keras.io/models/model/) in memory.
  *

tfjs-core/src/io/indexed_db.ts

@@ -255,7 +255,7 @@ IORouterRegistry.registerLoadRouter(indexedDBRouter);
  *
  * @param modelPath A unique identifier for the model to be saved. Must be a
  *   non-empty string.
- * @returns An instance of `BrowserIndexedDB` (sublcass of `IOHandler`),
+ * @returns An instance of `BrowserIndexedDB` (subclass of `IOHandler`),
  *   which can be used with, e.g., `tf.Model.save`.
  */
 export function browserIndexedDB(modelPath: string): IOHandler {