@tensorflow/tfjs-converter - npm Package Compare versions

Comparing version 1.2.1 to 1.2.2

dist/src/operations/custom_op/register.d.ts

@@ -24,10 +24,8 @@ /**
  * ```js
- * const matmulOpExecutor = (node) => {
- *    return tf.matMul(
- *        node.inputs[0] as tfc.Tensor2D,
- *        node.inputs[1] as tfc.Tensor2D,
- *        node.attrs['transpose_a'] as boolean,
- *        node.attrs['transpose_b'] as boolean);
- * }
- * tf.registerOp('MatMul', matmulOpExecutor);
+ * const customMatmul = (node) =>
+ *    tf.matMul(
+ *        node.inputs[0], node.inputs[1],
+ *        node.attrs['transpose_a'], node.attrs['transpose_b']);
+ *
+ * tf.registerOp('MatMul', customMatmul);
  * ```
@@ -34,0 +32,0 @@ * The inputs and attrs of the node object is based on the TensorFlow op

dist/src/operations/custom_op/register.js

@@ -26,10 +26,8 @@ "use strict";
  * ```js
- * const matmulOpExecutor = (node) => {
- *    return tf.matMul(
- *        node.inputs[0] as tfc.Tensor2D,
- *        node.inputs[1] as tfc.Tensor2D,
- *        node.attrs['transpose_a'] as boolean,
- *        node.attrs['transpose_b'] as boolean);
- * }
- * tf.registerOp('MatMul', matmulOpExecutor);
+ * const customMatmul = (node) =>
+ *    tf.matMul(
+ *        node.inputs[0], node.inputs[1],
+ *        node.attrs['transpose_a'], node.attrs['transpose_b']);
+ *
+ * tf.registerOp('MatMul', customMatmul);
  * ```
@@ -36,0 +34,0 @@ * The inputs and attrs of the node object is based on the TensorFlow op

dist/src/operations/executors/basic_math_executor.js

@@ -24,2 +24,3 @@ "use strict";
         case 'Abs':
+        case 'ComplexAbs':
             return [tfc.abs(utils_1.getParamValue('x', node, tensorMap, context))];
@@ -42,2 +43,4 @@ case 'Acos':
             return [tfc.ceil(utils_1.getParamValue('x', node, tensorMap, context))];
+        case 'Complex':
+            return [tfc.complex(utils_1.getParamValue('real', node, tensorMap, context), utils_1.getParamValue('imag', node, tensorMap, context))];
         case 'Cos':
@@ -44,0 +47,0 @@ return [tfc.cos(utils_1.getParamValue('x', node, tensorMap, context))];

dist/src/operations/executors/normalization_executor.js

@@ -27,2 +27,5 @@ "use strict";
         }
+        case 'FusedBatchNormV3': {
+            return [tfc.batchNorm(utils_1.getParamValue('x', node, tensorMap, context), utils_1.getParamValue('mean', node, tensorMap, context), utils_1.getParamValue('variance', node, tensorMap, context), utils_1.getParamValue('offset', node, tensorMap, context), utils_1.getParamValue('scale', node, tensorMap, context), utils_1.getParamValue('epsilon', node, tensorMap, context))];
+        }
         case 'LRN': {
@@ -29,0 +32,0 @@ return [tfc.localResponseNormalization(utils_1.getParamValue('x', node, tensorMap, context), utils_1.getParamValue('radius', node, tensorMap, context), utils_1.getParamValue('bias', node, tensorMap, context), utils_1.getParamValue('alpha', node, tensorMap, context), utils_1.getParamValue('beta', node, tensorMap, context))];

dist/src/operations/op_list/basic_math.js

@@ -93,2 +93,23 @@ "use strict";
     {
+        'tfOpName': 'Complex',
+        'category': 'basic_math',
+        'inputs': [
+            { 'start': 0, 'name': 'real', 'type': 'tensor' },
+            { 'start': 1, 'name': 'imag', 'type': 'tensor' },
+        ],
+        'attrs': [
+            { 'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true }
+        ]
+    },
+    {
+        'tfOpName': 'ComplexAbs',
+        'category': 'basic_math',
+        'inputs': [
+            { 'start': 0, 'name': 'x', 'type': 'tensor' },
+        ],
+        'attrs': [
+            { 'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true }
+        ]
+    },
+    {
         'tfOpName': 'Cos',
@@ -95,0 +116,0 @@ 'category': 'basic_math',

dist/src/operations/op_list/normalization.js

@@ -71,2 +71,27 @@ "use strict";
     {
+        'tfOpName': 'FusedBatchNormV3',
+        'category': 'normalization',
+        'inputs': [
+            { 'start': 0, 'name': 'x', 'type': 'tensor' },
+            { 'start': 1, 'name': 'scale', 'type': 'tensor' },
+            { 'start': 2, 'name': 'offset', 'type': 'tensor' },
+            { 'start': 3, 'name': 'mean', 'type': 'tensor' },
+            { 'start': 4, 'name': 'variance', 'type': 'tensor' },
+        ],
+        'attrs': [
+            {
+                'tfName': 'epsilon',
+                'name': 'epsilon',
+                'type': 'number',
+                'defaultValue': 0.001
+            },
+            {
+                'tfName': 'data_format',
+                'name': 'dataFormat',
+                'type': 'string',
+                'notSupported': true
+            }
+        ]
+    },
+    {
         'tfOpName': 'LRN',
@@ -73,0 +98,0 @@ 'category': 'normalization',

dist/src/version.d.ts

 /** @license See the LICENSE file. */
-declare const version = "1.2.1";
+declare const version = "1.2.2";
 export { version };

dist/src/version.js

@@ -5,4 +5,4 @@ "use strict";
 // This code is auto-generated, do not modify this file!
-var version = '1.2.1';
+var version = '1.2.2';
 exports.version = version;
 //# sourceMappingURL=version.js.map

package.json

 {
   "name": "@tensorflow/tfjs-converter",
-  "version": "1.2.1",
+  "version": "1.2.2",
   "description": "Tensorflow model converter for javascript",
@@ -17,6 +17,6 @@ "main": "dist/src/index.js",
   "peerDependencies": {
-    "@tensorflow/tfjs-core": "1.2.1"
+    "@tensorflow/tfjs-core": "1.2.2"
   },
   "devDependencies": {
-    "@tensorflow/tfjs-core": "1.2.1",
+    "@tensorflow/tfjs-core": "1.2.2",
     "@types/jasmine": "~2.8.6",
@@ -61,2 +61,3 @@ "@types/long": "~3.0.32",
     "test-ci": "yarn build && yarn lint && yarn run-browserstack",
+    "test-snippets": "ts-node ./scripts/test_snippets.ts",
     "run-browserstack": "karma start --singleRun --browsers='bs_firefox_mac,bs_chrome_mac' --reporters='dots,karma-typescript,BrowserStack'",
@@ -63,0 +64,0 @@ "lint": "tslint -p . -t verbose",

src/operations/custom_op/register.ts

@@ -29,10 +29,8 @@
  * ```js
- * const matmulOpExecutor = (node) => {
- *    return tf.matMul(
- *        node.inputs[0] as tfc.Tensor2D,
- *        node.inputs[1] as tfc.Tensor2D,
- *        node.attrs['transpose_a'] as boolean,
- *        node.attrs['transpose_b'] as boolean);
- * }
- * tf.registerOp('MatMul', matmulOpExecutor);
+ * const customMatmul = (node) =>
+ *    tf.matMul(
+ *        node.inputs[0], node.inputs[1],
+ *        node.attrs['transpose_a'], node.attrs['transpose_b']);
+ *
+ * tf.registerOp('MatMul', customMatmul);
  * ```
@@ -39,0 +37,0 @@ * The inputs and attrs of the node object is based on the TensorFlow op

src/operations/executors/basic_math_executor.ts

@@ -32,2 +32,3 @@ /**
     case 'Abs':
+    case 'ComplexAbs':
       return [tfc.abs(
@@ -60,2 +61,6 @@ getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
           getParamValue('x', node, tensorMap, context) as tfc.Tensor)];
+    case 'Complex':
+      return [tfc.complex(
+          getParamValue('real', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('imag', node, tensorMap, context) as tfc.Tensor)];
     case 'Cos':
@@ -62,0 +67,0 @@ return [tfc.cos(

src/operations/executors/normalization_executor.ts

@@ -41,2 +41,11 @@ /**
     }
+    case 'FusedBatchNormV3': {
+      return [tfc.batchNorm(
+          getParamValue('x', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('mean', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('variance', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('offset', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('scale', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('epsilon', node, tensorMap, context) as number)];
+    }
     case 'LRN': {
@@ -43,0 +52,0 @@ return [tfc.localResponseNormalization(

src/operations/op_list/basic_math.ts

@@ -94,2 +94,23 @@ import {OpMapper} from '../types';
   {
+    'tfOpName': 'Complex',
+    'category': 'basic_math',
+    'inputs': [
+      {'start': 0, 'name': 'real', 'type': 'tensor'},
+      {'start': 1, 'name': 'imag', 'type': 'tensor'},
+    ],
+    'attrs': [
+      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}
+    ]
+  },
+  {
+    'tfOpName': 'ComplexAbs',
+    'category': 'basic_math',
+    'inputs': [
+      {'start': 0, 'name': 'x', 'type': 'tensor'},
+    ],
+    'attrs': [
+      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}
+    ]
+  },
+  {
     'tfOpName': 'Cos',
@@ -96,0 +117,0 @@ 'category': 'basic_math',

src/operations/op_list/normalization.ts

@@ -72,2 +72,27 @@ import {OpMapper} from '../types';
   {
+    'tfOpName': 'FusedBatchNormV3',
+    'category': 'normalization',
+    'inputs': [
+      {'start': 0, 'name': 'x', 'type': 'tensor'},
+      {'start': 1, 'name': 'scale', 'type': 'tensor'},
+      {'start': 2, 'name': 'offset', 'type': 'tensor'},
+      {'start': 3, 'name': 'mean', 'type': 'tensor'},
+      {'start': 4, 'name': 'variance', 'type': 'tensor'},
+    ],
+    'attrs': [
+      {
+        'tfName': 'epsilon',
+        'name': 'epsilon',
+        'type': 'number',
+        'defaultValue': 0.001
+      },
+      {
+        'tfName': 'data_format',
+        'name': 'dataFormat',
+        'type': 'string',
+        'notSupported': true
+      }
+    ]
+  },
+  {
     'tfOpName': 'LRN',
@@ -74,0 +99,0 @@ 'category': 'normalization',

src/version.ts

 /** @license See the LICENSE file. */
 
 // This code is auto-generated, do not modify this file!
-const version = '1.2.1';
+const version = '1.2.2';
 export {version};

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Improved metrics

Total package byte prevSize

2464252

increased by0.93%

Number of package files

246

increased by1.23%

Lines of code

23698

increased by0.85%

Number of medium supply chain risk alerts

0

decreased by-100%

No dependency changes