Error: Argument 'x' passed to 'slice' must be a Tensor, but got object.

[Loreto Parisi]

I have this simple sentiment example for node.js

require('@tensorflow/tfjs-node');

var tf = require('@tensorflow/tfjs');

var fs = require('fs');

var performance = require('perf_hooks').performance;

const model_path = 'file://' + __dirname + '/model/model.json';

const model_metadata = __dirname + '/model/metadata.json';

var text = 'this is a bad day';

tf.loadModel(model_path)

.then(model => {

let sentimentMetadata = JSON.parse(fs.readFileSync(model_metadata));

//console.log(sentimentMetadata);

let indexFrom = sentimentMetadata['index_from'];

let maxLen = sentimentMetadata['max_len'];

let wordIndex = sentimentMetadata['word_index'];

console.log('indexFrom = ' + indexFrom);

console.log('maxLen = ' + maxLen);

console.log('model_type', sentimentMetadata['model_type']);

console.log('vocabulary_size', sentimentMetadata['vocabulary_size']);

console.log('max_len', sentimentMetadata['max_len']);

const inputText =

text.trim().toLowerCase().replace(/(\.|\,|\!)/g, '').split(/\s+/g); // tokenized

console.log(inputText);

// Look up word indices.

const inputBuffer = tf.buffer([1, maxLen], 'float32');

for (let i = 0; i < inputText.length; ++i) {

const word = inputText[i];

if (typeof wordIndex[word] == 'undefined') { // TODO(cais): Deal with OOV words.

console.log(word, wordIndex[word]);

}

inputBuffer.set(wordIndex[word] + indexFrom, 0, i);

}

const input = inputBuffer.toTensor();

console.log(text, "\n", input);

const beginMs = performance.now();

console.log(model.toString())

console.log(model.predict.toString())

const predictOut = model.predict(input);

const score = predictOut.dataSync()[0];

predictOut.dispose();

const endMs = performance.now();

console.log({ score: score, elapsed: (endMs - beginMs) });

})

.catch(error => {

console.error(error)

})

that gives:

Error: Argument 'x' passed to 'slice' must be a Tensor, but got object.

    at assert (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/util.js:57:15)

    at assertArgumentIsTensor (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/util.js:5:5)

    at _loop_1 (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/util.js:17:13)

    at Object.assertArgumentsAreTensors (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/util.js:21:9)

    at SliceOps.slice (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/ops/slice.js:34:14)

    at /Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/ops/operation.js:11:61

    at Object.Tracking.tidy (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/tracking.js:36:22)

    at Function.descriptor.value [as slice] (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/ops/operation.js:11:26)

    at Object.SliceOps.slice2d (/Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-core/dist/ops/slice.js:23:25)

    at /Users/loretoparisi/Documents/Projects/AI/tfjs-examples/sentiment/node_modules/@tensorflow/tfjs-layers/dist/backend/tfjs_backend.js:118:28

This does not make any sense since my input is a Tensor:

 Tensor {

  isDisposedInternal: false,

  size: 100,

  shape: [ 1, 100 ],

  dtype: 'float32',

  strides: [ 100 ],

  dataId: {},

  id: 0,

  rankType: '2' }

while I get this assertion error in dist/util.js here:

function assertArgumentIsTensor(x, argName, functionName) {

assert(x instanceof tensor_1.Tensor, "Argument '" + argName + "' passed to '" + functionName + "' must be a Tensor, " +

("but got " + typeof x + "."));

}

I get an error also just doing here:

const model2 = tf.sequential({

layers: [tf.layers.dense({ units: 1, inputShape: [10] })]

});

model2.predict(tf.ones([8, 10]), { batchSize: 4 }).print();

[Nikhil Thorat]

I’m typing from a phone, but my best guess is you have a double import of tf (instanceof sees the Tensor type of the other tf object’s Tensor).

Can you try using an es6 import instead of require of both node and tfjs?

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[Loreto Parisi]

Thanks! So if I use only var tf = require('@tensorflow/tfjs'); it will work only in the browser. While I if I use tf = require('@tensorflow/tfjs-node'); I will not have the core apis like .loadModel

[Nikhil Thorat]

Can you upload those files so I can run your code?

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tfjs/6ec43747-eced-4396-a1cf-1b9f4c6e1362%40tensorflow.org.

[Loreto Parisi]

Sure! here you are the whole example, that is mostly the same that happens here: https://github.com/loretoparisi/tensorflow-node-examples/tree/master/sentiment

[Nikhil Thorat]

Thanks! Going to add Nick to take a look at this deeper when he gets back (I looked briefly but couldn't see anything obviously wrong).

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tfjs/0e7e0034-b8af-44e7-ac30-0f9dcd285e86%40tensorflow.org.

[Nikhil Thorat]

I looked a little deeper at your model, the first layer shape (model.input.shape) is [null, null]. I think we may have a bad error for you, but this is likely your problem.

Can you look into why your first layer is [null, null] input shape?

[Loreto Parisi]

Thanks for your help, can you point me where you get this null in the code here: https://github.com/loretoparisi/tensorflow-node-examples/blob/master/sentiment/sentiment.js, because this example is based on your browser example.

Thank you.

[Daniel Smilkov]

Hi Loreto,

I got your sentiment example to work. Couple things:

- I noticed in this line you are passing the inputBuffer, but you should pass the input instead.

- In package.json change "@tensorflow/tfjs-node": "^0.1.7" to "@tensorflow/tfjs-node": "0.1.6" since I see some errors on 0.1.7 on my mac. I filed this issue.

- Remove the "postinstall": "yarn upgrade --pattern @tensorflow" in package.json, since it will overwrite 0.1.6 to 0.1.7 again.

We'll also improve the error message to be:

Argument 'x' passed to 'slice' must be a Tensor, but got TensorBuffer

Hope this helps!

Daniel

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tfjs/ed341173-6a4b-458f-8954-24eb7e2cc97c%40tensorflow.org.

[Loreto Parisi]

Hello Daniel, thank you.
It works but there is a warning message that complains I'm not using Node.js:

ip-192-168-22-127:sentiment loretoparisi$ node sentiment.js 

2018-06-27 11:01:25.185649: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.2 AVX AVX2 FMA

(node:76671) Warning: N-API is an experimental feature and could change at any time.

Hi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.

indexFrom = 3

maxLen = 100

model_type cnn

vocabulary_size 20000

max_len 100

[ 'this', 'is', 'a', 'bad', 'day' ]

this is a bad day 

 Tensor {

  isDisposedInternal: false,

  size: 100,

  shape: [ 1, 100 ],

  dtype: 'float32',

  strides: [ 100 ],

  dataId: {},

  id: 22,

  rankType: '2' }

{ score: 0.018475884571671486, elapsed: 1594.1342370510101 }

[Nikhil Thorat]

The warning is just letting you know that you can use the full power of TensorFlow, if you install the @tensorflow/tfjs-node package. It's not a fatal error.

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tfjs/db99e41e-ebe3-4095-8464-e197fa82bf16%40tensorflow.org.

[Loreto Parisi]

Hey Nikhil, I'm using @tensorflow/tfjs-node in my example, so I argue that this warning should not be there :)

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Dott. Ing. Loreto Parisi
Parisi Labs

Company: in...@parisilabs.com

Personal: loreto...@gmail.com

Twitter: @loretoparisi

Web: http://parisilabs.com
LinkedIn: http://www.linkedin.com/in/loretoparisi

[Roie Schwaber-Cohen]

I'm running into the same issue here:

In node, using the latest build, I load mobilnet, and then I use a canvas to load the image in.

 

let path =

'https://i.pinimg.com/236x/3d/90/d0/3d90d0e34acae40b4e5740418f9d558e--peacock-colors-peacock-feathers.jpg'

let buffer = await fetch(path).then(res => res.buffer())

let img = new Image()

img.src = buffer

await ctx.drawImage(img, 0, 0, 224, 224)

const tensor = tf.fromPixels(canvas)

const expanded = tensor.expandDims(0)

const prediction = mobilenet.predict(expanded)

console.log(prediction)

The tensor looks ok:

Tensor {

  isDisposedInternal: false,

  size: 150528,

  shape: [ 1, 224, 224, 3 ],

  dtype: 'int32',

  strides: [ 150528, 672, 3 ],

  dataId: {},

  id: 2,

  rankType: '4' 

}

But the prediction fails with

Error: Argument 'x' passed to 'slice' must be a Tensor, but got object.

[Nikhil Thorat]

I think the issue is you have multiple copies of TensorFlow.js on the page -- you should try to make sure you're not including it twice.

I'm also preparing a fix so we allow this behavior, this PR is pending: https://github.com/tensorflow/tfjs-core/pull/1146

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tfjs/927eb017-d4fd-48fb-ab94-f3a9e57a3bcf%40tensorflow.org.

[Loreto Parisi]

Great!!! Thanks a lot it's going to be a great framework!

[Daniel Smilkov]

FYI, Nikhil's fix is in the latest tfjs v0.12.2 - before you and test the fix, make sure to remove lock files and node_modules just in case to avoid problems with caching.

Daniel

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tfjs/46fa5d05-acee-40df-8d5e-fbf102efd8d0%40tensorflow.org.

[Loreto Parisi]

Yes! Thank you I have upgraded to the latest tfjs-core, tfjs-node and now everything works properly!

[Nikhil Thorat]

Yay :)

To view this discussion on the web visit https://groups.google.com/a/tensorflow.org/d/msgid/tfjs/debd6945-753d-4e08-b4e1-57e897e5d2b4%40tensorflow.org.