@tensorflow/tfjs-data - npm Package Compare versions

Comparing version 1.0.2 to 1.0.3

dist/iterators/lazy_iterator.js

@@ -69,3 +69,2 @@ "use strict";
 var tf = require("@tensorflow/tfjs-core");
-var tensor_util_1 = require("@tensorflow/tfjs-core/dist/tensor_util");
 var seedrandom = require("seedrandom");
@@ -842,5 +841,5 @@ var deep_map_1 = require("../util/deep_map");
                         }
-                        inputTensors = tensor_util_1.getTensorsInContainer(item.value);
+                        inputTensors = tf.tensor_util.getTensorsInContainer(item.value);
                         mapped = this.transform(item.value);
-                        outputTensors = tensor_util_1.getTensorsInContainer(mapped);
+                        outputTensors = tf.tensor_util.getTensorsInContainer(mapped);
                         // TODO(soergel) faster intersection
@@ -850,3 +849,3 @@ // TODO(soergel) move to tf.disposeExcept(in, out)?
                             t = inputTensors_1[_i];
-                            if (!tensor_util_1.isTensorInList(t, outputTensors)) {
+                            if (!tf.tensor_util.isTensorInList(t, outputTensors)) {
                                 t.dispose();
@@ -936,7 +935,7 @@ }
                         }
-                        inputTensors = tensor_util_1.getTensorsInContainer(item.value);
+                        inputTensors = tf.tensor_util.getTensorsInContainer(item.value);
                         return [4 /*yield*/, this.transform(item.value)];
                     case 2:
                         mapped = _a.sent();
-                        outputTensors = tensor_util_1.getTensorsInContainer(mapped);
+                        outputTensors = tf.tensor_util.getTensorsInContainer(mapped);
                         // TODO(soergel) faster intersection
@@ -946,3 +945,3 @@ // TODO(soergel) move to tf.disposeExcept(in, out)?
                             t = inputTensors_2[_i];
-                            if (!tensor_util_1.isTensorInList(t, outputTensors)) {
+                            if (!tf.tensor_util.isTensorInList(t, outputTensors)) {
                                 t.dispose();
@@ -1032,5 +1031,5 @@ }
                         }
-                        inputTensors = tensor_util_1.getTensorsInContainer(item.value);
+                        inputTensors = tf.tensor_util.getTensorsInContainer(item.value);
                         mappedArray = this.transform(item.value);
-                        outputTensors = tensor_util_1.getTensorsInContainer(mappedArray);
+                        outputTensors = tf.tensor_util.getTensorsInContainer(mappedArray);
                         this.outputQueue.pushAll(mappedArray);
@@ -1041,3 +1040,3 @@ // TODO(soergel) faster intersection, and deduplicate outputTensors
                             t = inputTensors_3[_i];
-                            if (!tensor_util_1.isTensorInList(t, outputTensors)) {
+                            if (!tf.tensor_util.isTensorInList(t, outputTensors)) {
                                 t.dispose();
@@ -1044,0 +1043,0 @@ }

dist/types.d.ts

@@ -18,4 +18,3 @@ /**
  */
-import { DataType } from '@tensorflow/tfjs-core';
-import { TensorContainer, TensorContainerArray, TensorContainerObject } from '@tensorflow/tfjs-core/dist/tensor_types';
+import { DataType, TensorContainer, TensorContainerArray, TensorContainerObject } from '@tensorflow/tfjs-core';
 import { Dataset } from './dataset';
@@ -22,0 +21,0 @@ import { LazyIterator } from './iterators/lazy_iterator';

dist/util/deep_map.js

@@ -56,4 +56,3 @@ "use strict";
 var tf = require("@tensorflow/tfjs-core");
-var util_1 = require("@tensorflow/tfjs-core/dist/util");
-var util_2 = require("util");
+var util_1 = require("util");
 /**
@@ -279,7 +278,7 @@ * Apply a mapping function to a nested structure in a recursive manner.
 function canTensorify(obj) {
-    return obj == null || util_2.isPrimitive(obj) || Array.isArray(obj) ||
+    return obj == null || util_1.isPrimitive(obj) || Array.isArray(obj) ||
         (typeof obj === 'object' && (obj instanceof tf.Tensor)) ||
-        util_1.isTypedArray(obj);
+        tf.util.isTypedArray(obj);
 }
 exports.canTensorify = canTensorify;
 //# sourceMappingURL=deep_map.js.map

dist/version.d.ts

 /** @license See the LICENSE file. */
-declare const version = "1.0.2";
+declare const version = "1.0.3";
 export { version };

dist/version.js

@@ -5,4 +5,4 @@ "use strict";
 // This code is auto-generated, do not modify this file!
-var version = '1.0.2';
+var version = '1.0.3';
 exports.version = version;
 //# sourceMappingURL=version.js.map

package.json

 {
   "name": "@tensorflow/tfjs-data",
-  "version": "1.0.2",
+  "version": "1.0.3",
   "description": "TensorFlow Data API in JavaScript",
@@ -14,3 +14,3 @@ "private": false,
   "devDependencies": {
-    "@tensorflow/tfjs-core": "1.0.2",
+    "@tensorflow/tfjs-core": "1.0.3",
     "@types/fetch-mock": "^6.0.1",
@@ -56,3 +56,3 @@ "@types/jasmine": "~2.5.53",
   "peerDependencies": {
-    "@tensorflow/tfjs-core": "1.0.2"
+    "@tensorflow/tfjs-core": "1.0.3"
   },
@@ -59,0 +59,0 @@ "dependencies": {

src/dataset.ts

@@ -20,5 +20,4 @@ /**
 import * as tf from '@tensorflow/tfjs-core';
-import {TensorLike} from '@tensorflow/tfjs-core/dist/types';
+import {TensorLike} from '@tensorflow/tfjs-core';
 import * as seedrandom from 'seedrandom';
-
 import {iteratorFromConcatenated, iteratorFromFunction, iteratorFromItems, iteratorFromZipped, LazyIterator, ZipMismatchMode} from './iterators/lazy_iterator';
@@ -25,0 +24,0 @@ import {DataElement, DatasetContainer} from './types';

src/iterators/lazy_iterator.ts

@@ -20,3 +20,2 @@ /**
 import * as tf from '@tensorflow/tfjs-core';
-import {getTensorsInContainer, isTensorInList} from '@tensorflow/tfjs-core/dist/tensor_util';
 import * as seedrandom from 'seedrandom';
@@ -716,3 +715,3 @@ import {DataElement, IteratorContainer} from '../types';
     }
-    const inputTensors = getTensorsInContainer(item.value as {});
+    const inputTensors = tf.tensor_util.getTensorsInContainer(item.value as {});
     // Careful: the transform may mutate the item in place.
@@ -725,3 +724,3 @@ // That's why we have to remember the input Tensors above, and then
     const mapped = this.transform(item.value);
-    const outputTensors = getTensorsInContainer(mapped as {});
+    const outputTensors = tf.tensor_util.getTensorsInContainer(mapped as {});
 
@@ -731,3 +730,3 @@ // TODO(soergel) faster intersection
     for (const t of inputTensors) {
-      if (!isTensorInList(t, outputTensors)) {
+      if (!tf.tensor_util.isTensorInList(t, outputTensors)) {
         t.dispose();
@@ -800,3 +799,3 @@ }
     }
-    const inputTensors = getTensorsInContainer(item.value as {});
+    const inputTensors = tf.tensor_util.getTensorsInContainer(item.value as {});
     // Careful: the transform may mutate the item in place.
@@ -809,3 +808,3 @@ // That's why we have to remember the input Tensors above, and then
     const mapped = await this.transform(item.value);
-    const outputTensors = getTensorsInContainer(mapped as {});
+    const outputTensors = tf.tensor_util.getTensorsInContainer(mapped as {});
 
@@ -815,3 +814,3 @@ // TODO(soergel) faster intersection
     for (const t of inputTensors) {
-      if (!isTensorInList(t, outputTensors)) {
+      if (!tf.tensor_util.isTensorInList(t, outputTensors)) {
         t.dispose();
@@ -901,3 +900,3 @@ }
     }
-    const inputTensors = getTensorsInContainer(item.value as {});
+    const inputTensors = tf.tensor_util.getTensorsInContainer(item.value as {});
     // Careful: the transform may mutate the item in place.
@@ -909,3 +908,4 @@ // that's why we have to remember the input Tensors above, and then
     const mappedArray = this.transform(item.value);
-    const outputTensors = getTensorsInContainer(mappedArray as {});
+    const outputTensors =
+        tf.tensor_util.getTensorsInContainer(mappedArray as {});
     this.outputQueue.pushAll(mappedArray);
@@ -916,3 +916,3 @@
     for (const t of inputTensors) {
-      if (!isTensorInList(t, outputTensors)) {
+      if (!tf.tensor_util.isTensorInList(t, outputTensors)) {
         t.dispose();
@@ -919,0 +919,0 @@ }

src/types.ts

@@ -19,4 +19,3 @@ /**
 
-import {DataType} from '@tensorflow/tfjs-core';
-import {TensorContainer, TensorContainerArray, TensorContainerObject} from '@tensorflow/tfjs-core/dist/tensor_types';
+import {DataType, TensorContainer, TensorContainerArray, TensorContainerObject} from '@tensorflow/tfjs-core';
 import {Dataset} from './dataset';
@@ -23,0 +22,0 @@ import {LazyIterator} from './iterators/lazy_iterator';

src/util/deep_map.ts

@@ -20,3 +20,2 @@ /**
 import * as tf from '@tensorflow/tfjs-core';
-import {isTypedArray} from '@tensorflow/tfjs-core/dist/util';
 import {isPrimitive} from 'util';
@@ -269,3 +268,3 @@
       (typeof obj === 'object' && (obj instanceof tf.Tensor)) ||
-      isTypedArray(obj);
+      tf.util.isTypedArray(obj);
 }

src/version.ts

 /** @license See the LICENSE file. */
 // This code is auto-generated, do not modify this file!
-const version = '1.0.2';
+const version = '1.0.3';
 export {version};

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Total package byte prevSize

1718638

decreased by-24.36%

Number of package files

109

decreased by-1.8%

Lines of code

15984

decreased by-13.76%

No dependency changes