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@tensorflow/tfjs-converter

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@tensorflow/tfjs-converter - npm Package Compare versions

Comparing version 1.0.4 to 1.1.0

2

dist/src/version.d.ts
/** @license See the LICENSE file. */
declare const version = "1.0.4";
declare const version = "1.1.0";
export { version };

@@ -5,4 +5,4 @@ "use strict";

// This code is auto-generated, do not modify this file!
var version = '1.0.4';
var version = '1.1.0';
exports.version = version;
//# sourceMappingURL=version.js.map
{
"name": "@tensorflow/tfjs-converter",
"version": "1.0.4",
"version": "1.1.0",
"description": "Tensorflow model converter for javascript",

@@ -17,6 +17,6 @@ "main": "dist/src/index.js",

"peerDependencies": {
"@tensorflow/tfjs-core": "1.0.4"
"@tensorflow/tfjs-core": "1.1.0"
},
"devDependencies": {
"@tensorflow/tfjs-core": "1.0.4",
"@tensorflow/tfjs-core": "1.1.0",
"@types/jasmine": "~2.8.6",

@@ -60,3 +60,4 @@ "@types/long": "~3.0.32",

"test": "karma start",
"test-travis": "karma start --singleRun --browsers='bs_firefox_mac,bs_chrome_mac' --reporters='dots,karma-typescript,BrowserStack'",
"test-ci": "yarn build && yarn lint && yarn run-browserstack",
"run-browserstack": "karma start --singleRun --browsers='bs_firefox_mac,bs_chrome_mac' --reporters='dots,karma-typescript,BrowserStack'",
"lint": "tslint -p . -t verbose",

@@ -66,4 +67,6 @@ "make-version": "sh -c ./scripts/make-version",

"gen-json": "ts-node ./scripts/gen_json.ts",
"pb2json": "ts-node ./tools/pb2json_converter.ts"
"pb2json": "ts-node ./tools/pb2json_converter.ts",
"build-pip-package": "yarn gen-json && cd python && ./build-pip-package.sh --test /tmp/tfjs-pips",
"run-python-tests": "yarn gen-json && cd python && ./run-python-tests.sh"
}
}

@@ -1,3 +0,1 @@

[![Build Status](https://travis-ci.org/tensorflow/tfjs-converter.svg?branch=master)](https://travis-ci.org/tensorflow/tfjs-converter)
# Getting started

@@ -117,3 +115,3 @@

('group1-shard1of1.bin'). To shard the weight file, do
```sh

@@ -161,3 +159,3 @@ tensorflowjs_converter \

Instantiate the [GraphModel class](./src/executor/graph_model.ts) and run inference.
If the original model was a `SavedModel`, use [`tf.loadGraphModel()`](https://js.tensorflow.org/api/latest/#loadGraphModel). If it was Keras, use [`tf.loadLayersModel()`](https://js.tensorflow.org/api/latest/#loadLayersModel):

@@ -169,8 +167,8 @@ ```typescript

const model = await tf.loadGraphModel(MODEL_URL);
const model = await tf.loadGraphModel(MODEL_URL); // For Keras use tf.loadLayersModel()
const cat = document.getElementById('cat');
model.execute({input: tf.browser.fromPixels(cat)});
model.predict(tf.browser.fromPixels(cat));
```
Check out our working [MobileNet demo](./demo/mobilenet/README.md).
See our API docs for the [`predict()`](https://js.tensorflow.org/api/latest/#tf.GraphModel.predict) method. To see what other methods exist on a `Model`, see [`tf.LayersModel`](https://js.tensorflow.org/api/latest/#class:LayersModel) and [`tf.GraphModel`](https://js.tensorflow.org/api/latest/#class:GraphModel). Also check out our working [MobileNet demo](./demo/mobilenet/README.md).

@@ -177,0 +175,0 @@ If your server requests credentials for accessing the model files, you can provide the optional RequestOption param.

/** @license See the LICENSE file. */
// This code is auto-generated, do not modify this file!
const version = '1.0.4';
const version = '1.1.0';
export {version};

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