@tensorflow/tfjs-converter - npm Package Compare versions

Comparing version 1.3.1 to 1.3.2

dist/src/operations/executors/arithmetic_executor.js

@@ -40,2 +40,5 @@ "use strict";
         }
+        case 'DivNoNan': {
+            return [tfc.divNoNan(utils_1.getParamValue('a', node, tensorMap, context), utils_1.getParamValue('b', node, tensorMap, context))];
+        }
         case 'FloorDiv': {
@@ -42,0 +45,0 @@ return [tfc.floorDiv(utils_1.getParamValue('a', node, tensorMap, context), utils_1.getParamValue('b', node, tensorMap, context))];

dist/src/operations/executors/basic_math_executor.js

@@ -113,2 +113,4 @@ "use strict";
             return [tfc.leakyRelu(utils_1.getParamValue('x', node, tensorMap, context), utils_1.getParamValue('alpha', node, tensorMap, context))];
+        case 'Prelu':
+            return [tfc.prelu(utils_1.getParamValue('x', node, tensorMap, context), utils_1.getParamValue('alpha', node, tensorMap, context))];
         default:
@@ -115,0 +117,0 @@ throw TypeError("Node type " + node.op + " is not implemented");

dist/src/operations/executors/control_executor.js

@@ -166,3 +166,3 @@ "use strict";
                     closeTensorArray.clearAndClose();
-                    return [2 /*return*/, []];
+                    return [2 /*return*/, [tfjs_core_1.scalar(0)]];
                 case 17: throw TypeError("Node type " + node.op + " is not implemented");
@@ -169,0 +169,0 @@ }

dist/src/operations/executors/graph_executor.js

@@ -53,3 +53,3 @@ "use strict";
         case 'NoOp':
-            return [];
+            return [tfc.scalar(1)];
         case 'Print':
@@ -56,0 +56,0 @@ var input = utils_1.getParamValue('x', node, tensorMap, context);

dist/src/operations/executors/slice_join_executor.js

@@ -25,4 +25,6 @@ "use strict";
         case 'Concat': {
+            var n = utils_1.getParamValue('n', node, tensorMap, context);
             var axis = utils_1.getParamValue('axis', node, tensorMap, context);
             var inputs = utils_1.getParamValue('tensors', node, tensorMap, context);
+            inputs = inputs.slice(0, n);
             return [tfc.concat(inputs, axis)];
@@ -29,0 +31,0 @@ }

dist/src/operations/op_list/arithmetic.js

@@ -92,2 +92,13 @@ "use strict";
     {
+        'tfOpName': 'DivNoNan',
+        'category': 'arithmetic',
+        'inputs': [
+            { 'start': 0, 'name': 'a', 'type': 'tensor' },
+            { 'start': 1, 'name': 'b', 'type': 'tensor' },
+        ],
+        'attrs': [
+            { 'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true }
+        ]
+    },
+    {
         'tfOpName': 'FloorDiv',
@@ -170,10 +181,7 @@ 'category': 'arithmetic',
         ],
-        'attrs': [{
-                'tfName': 'T',
-                'name': 'dtype',
-                'type': 'dtype',
-                'notSupported': true
-            }]
+        'attrs': [
+            { 'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true }
+        ]
     }
 ];
 //# sourceMappingURL=arithmetic.js.map

dist/src/operations/op_list/slice_join.js

@@ -26,3 +26,4 @@ "use strict";
             { 'start': -1, 'name': 'axis', 'type': 'number' }
-        ]
+        ],
+        'attrs': [{ 'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2 }]
     },
@@ -35,3 +36,4 @@ {
             { 'start': 0, 'name': 'axis', 'type': 'number' }
-        ]
+        ],
+        'attrs': [{ 'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2 }]
     },
@@ -38,0 +40,0 @@ {

dist/src/version.d.ts

 /** @license See the LICENSE file. */
-declare const version = "1.3.1";
+declare const version = "1.3.2";
 export { version };

dist/src/version.js

@@ -5,4 +5,4 @@ "use strict";
 // This code is auto-generated, do not modify this file!
-var version = '1.3.1';
+var version = '1.3.2';
 exports.version = version;
 //# sourceMappingURL=version.js.map

package.json

 {
   "name": "@tensorflow/tfjs-converter",
-  "version": "1.3.1",
+  "version": "1.3.2",
   "description": "Tensorflow model converter for javascript",
@@ -18,6 +18,6 @@ "main": "dist/src/index.js",
   "peerDependencies": {
-    "@tensorflow/tfjs-core": "1.3.1"
+    "@tensorflow/tfjs-core": "1.3.2"
   },
   "devDependencies": {
-    "@tensorflow/tfjs-core": "1.3.1",
+    "@tensorflow/tfjs-core": "1.3.2",
     "@types/deep-equal": "^1.0.1",
@@ -24,0 +24,0 @@ "@types/jasmine": "~2.8.6",

src/operations/executors/arithmetic_executor.ts

@@ -57,2 +57,7 @@ /**
     }
+    case 'DivNoNan': {
+      return [tfc.divNoNan(
+          getParamValue('a', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('b', node, tensorMap, context) as tfc.Tensor)];
+    }
     case 'FloorDiv': {
@@ -59,0 +64,0 @@ return [tfc.floorDiv(

src/operations/executors/basic_math_executor.ts

@@ -166,2 +166,6 @@ /**
           getParamValue('alpha', node, tensorMap, context) as number)];
+    case 'Prelu':
+      return [tfc.prelu(
+          getParamValue('x', node, tensorMap, context) as tfc.Tensor,
+          getParamValue('alpha', node, tensorMap, context) as tfc.Tensor)];
     default:
@@ -168,0 +172,0 @@ throw TypeError(`Node type ${node.op} is not implemented`);

src/operations/executors/control_executor.ts

@@ -160,3 +160,3 @@ /**
       closeTensorArray.clearAndClose();
-      return [];
+      return [scalar(0)];
     default:
@@ -163,0 +163,0 @@ throw TypeError(`Node type ${node.op} is not implemented`);

src/operations/executors/graph_executor.ts

@@ -69,3 +69,3 @@ /**
     case 'NoOp':
-      return [];
+      return [tfc.scalar(1)];
     case 'Print':
@@ -72,0 +72,0 @@ const input = getParamValue('x', node, tensorMap, context) as tfc.Tensor;

src/operations/executors/slice_join_executor.ts

@@ -33,5 +33,7 @@ /**
     case 'Concat': {
+      const n = getParamValue('n', node, tensorMap, context) as number;
       const axis = getParamValue('axis', node, tensorMap, context) as number;
-      const inputs =
+      let inputs =
           getParamValue('tensors', node, tensorMap, context) as tfc.Tensor[];
+      inputs = inputs.slice(0, n);
       return [tfc.concat(inputs, axis)];
@@ -38,0 +40,0 @@ }

src/operations/op_list/arithmetic.ts

@@ -93,2 +93,13 @@ /**
   {
+    'tfOpName': 'DivNoNan',
+    'category': 'arithmetic',
+    'inputs': [
+      {'start': 0, 'name': 'a', 'type': 'tensor'},
+      {'start': 1, 'name': 'b', 'type': 'tensor'},
+    ],
+    'attrs': [
+      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}
+    ]
+  },
+  {
     'tfOpName': 'FloorDiv',
@@ -171,9 +182,6 @@ 'category': 'arithmetic',
     ],
-    'attrs': [{
-      'tfName': 'T',
-      'name': 'dtype',
-      'type': 'dtype',
-      'notSupported': true
-    }]
+    'attrs': [
+      {'tfName': 'T', 'name': 'dtype', 'type': 'dtype', 'notSupported': true}
+    ]
   }
 ];

src/operations/op_list/slice_join.ts

@@ -27,3 +27,5 @@ import {OpMapper} from '../types';
       {'start': -1, 'name': 'axis', 'type': 'number'}
-    ]
+    ],
+    'attrs':
+        [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]
   },
@@ -36,3 +38,5 @@ {
       {'start': 0, 'name': 'axis', 'type': 'number'}
-    ]
+    ],
+    'attrs': [{'tfName': 'N', 'name': 'n', 'type': 'number', 'defaultValue': 2}]
+
   },
@@ -39,0 +43,0 @@ {

src/version.ts

 /** @license See the LICENSE file. */
 
 // This code is auto-generated, do not modify this file!
-const version = '1.3.1';
+const version = '1.3.2';
 export {version};

No alert changes

Improved metrics

Total package byte prevSize

2984837

increased by0.49%

Lines of code

25052

increased by0.24%

No dependency changes