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How to convert a tensor to a Uint8Array array in tensorflowjs
The 2019 Stack Overflow Developer Survey Results Are InHow do I mutate value of a tensor in Tensorflow.js?tensorflowjs_converter: command not foundTensorflow.js tf.Tensor to JS numberHow to convert 1D tensor to regular javascript array?partition or mask or filter a Tensor in tensorflow.jsConverting png to Tensor tensorflow.jsHow to count the number of times each value in a tensor occurs with Tensorflow.js?How to reverse RGB array to BGR array in tensorflow.jsConvert values of a tensor in TensorFlow to regular Javascript arrayTensorflow.js Dataset to Tensor?
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I use model.predict()to output a tensor A(size:512*512*3) by tensorflow.js and then I reshape it to A.reshape(512*512*3). But now I want to convert this tensor to an array so I can use it with three.js. How to solve this problem?
tensorflow.js
edited Mar 8 at 10:33
Mugen87
3,5122621
asked Mar 8 at 8:39
YifanLuYifanLu
115
add a comment |
I use model.predict()to output a tensor A(size:512*512*3) by tensorflow.js and then I reshape it to A.reshape(512*512*3). But now I want to convert this tensor to an array so I can use it with three.js. How to solve this problem?
tensorflow.js
edited Mar 8 at 10:33
Mugen87
3,5122621
asked Mar 8 at 8:39
YifanLuYifanLu
115
add a comment |
I use model.predict()to output a tensor A(size:512*512*3) by tensorflow.js and then I reshape it to A.reshape(512*512*3). But now I want to convert this tensor to an array so I can use it with three.js. How to solve this problem?
tensorflow.js
edited Mar 8 at 10:33
Mugen87
3,5122621
asked Mar 8 at 8:39
YifanLuYifanLu
115
I use model.predict()to output a tensor A(size:512*512*3) by tensorflow.js and then I reshape it to A.reshape(512*512*3). But now I want to convert this tensor to an array so I can use it with three.js. How to solve this problem?
tensorflow.js
tensorflow.js
edited Mar 8 at 10:33
Mugen87
3,5122621
asked Mar 8 at 8:39
YifanLuYifanLu
115
edited Mar 8 at 10:33
Mugen87
3,5122621
asked Mar 8 at 8:39
YifanLuYifanLu
115
edited Mar 8 at 10:33
Mugen87
3,5122621
edited Mar 8 at 10:33
Mugen87
3,5122621
edited Mar 8 at 10:33
Mugen87
3,5122621
3,5122621
asked Mar 8 at 8:39
YifanLuYifanLu
115
asked Mar 8 at 8:39
YifanLuYifanLu
115
asked Mar 8 at 8:39
YifanLuYifanLu
115
115
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
To convert a tensor to an array, You can use
data()ordataSync()to have a flatten typedarray
But currently the supported types are float32, int32; therefore the corresponding typedArray will be Float32Array and Int32Array. The typedarray constructors can be used to change the type of the typedarray
a = tf.tensor([1, 2, 3, 4])
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Uint16Array(buffer))
console.log(new Float32Array(buffer))
// To retrieve easily uint8 type, one can cast the tensor to `int32`
a = tf.tensor([1, 2, 3, 4], undefined, 'int32')
console.log(a.dtype)
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Float32Array(buffer))<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0"> </script>
</head>
<body>
</body>
</html>answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
Is data() OK? Because dataSync() will block the UI thread until the values are ready, which can cause performance issues.
– YifanLu
Mar 9 at 5:54
You can usedata()
– edkeveked
Mar 9 at 9:43
After executing the data() function, is there any way to get the data after it is executed? Such as callback
– YifanLu
Mar 11 at 13:11
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
To convert a tensor to an array, You can use
data()ordataSync()to have a flatten typedarray
But currently the supported types are float32, int32; therefore the corresponding typedArray will be Float32Array and Int32Array. The typedarray constructors can be used to change the type of the typedarray
a = tf.tensor([1, 2, 3, 4])
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Uint16Array(buffer))
console.log(new Float32Array(buffer))
// To retrieve easily uint8 type, one can cast the tensor to `int32`
a = tf.tensor([1, 2, 3, 4], undefined, 'int32')
console.log(a.dtype)
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Float32Array(buffer))<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0"> </script>
</head>
<body>
</body>
</html>answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
Is data() OK? Because dataSync() will block the UI thread until the values are ready, which can cause performance issues.
– YifanLu
Mar 9 at 5:54
You can usedata()
– edkeveked
Mar 9 at 9:43
After executing the data() function, is there any way to get the data after it is executed? Such as callback
– YifanLu
Mar 11 at 13:11
add a comment |
To convert a tensor to an array, You can use
data()ordataSync()to have a flatten typedarray
But currently the supported types are float32, int32; therefore the corresponding typedArray will be Float32Array and Int32Array. The typedarray constructors can be used to change the type of the typedarray
a = tf.tensor([1, 2, 3, 4])
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Uint16Array(buffer))
console.log(new Float32Array(buffer))
// To retrieve easily uint8 type, one can cast the tensor to `int32`
a = tf.tensor([1, 2, 3, 4], undefined, 'int32')
console.log(a.dtype)
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Float32Array(buffer))<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0"> </script>
</head>
<body>
</body>
</html>answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
Is data() OK? Because dataSync() will block the UI thread until the values are ready, which can cause performance issues.
– YifanLu
Mar 9 at 5:54
You can usedata()
– edkeveked
Mar 9 at 9:43
After executing the data() function, is there any way to get the data after it is executed? Such as callback
– YifanLu
Mar 11 at 13:11
add a comment |
To convert a tensor to an array, You can use
data()ordataSync()to have a flatten typedarray
But currently the supported types are float32, int32; therefore the corresponding typedArray will be Float32Array and Int32Array. The typedarray constructors can be used to change the type of the typedarray
a = tf.tensor([1, 2, 3, 4])
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Uint16Array(buffer))
console.log(new Float32Array(buffer))
// To retrieve easily uint8 type, one can cast the tensor to `int32`
a = tf.tensor([1, 2, 3, 4], undefined, 'int32')
console.log(a.dtype)
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Float32Array(buffer))<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0"> </script>
</head>
<body>
</body>
</html>answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
To convert a tensor to an array, You can use
data()ordataSync()to have a flatten typedarray
But currently the supported types are float32, int32; therefore the corresponding typedArray will be Float32Array and Int32Array. The typedarray constructors can be used to change the type of the typedarray
a = tf.tensor([1, 2, 3, 4])
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Uint16Array(buffer))
console.log(new Float32Array(buffer))
// To retrieve easily uint8 type, one can cast the tensor to `int32`
a = tf.tensor([1, 2, 3, 4], undefined, 'int32')
console.log(a.dtype)
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Float32Array(buffer))<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0"> </script>
</head>
<body>
</body>
</html>a = tf.tensor([1, 2, 3, 4])
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Uint16Array(buffer))
console.log(new Float32Array(buffer))
// To retrieve easily uint8 type, one can cast the tensor to `int32`
a = tf.tensor([1, 2, 3, 4], undefined, 'int32')
console.log(a.dtype)
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Float32Array(buffer))<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0"> </script>
</head>
<body>
</body>
</html>a = tf.tensor([1, 2, 3, 4])
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Uint16Array(buffer))
console.log(new Float32Array(buffer))
// To retrieve easily uint8 type, one can cast the tensor to `int32`
a = tf.tensor([1, 2, 3, 4], undefined, 'int32')
console.log(a.dtype)
buffer = a.dataSync().buffer
console.log(new Uint8Array(buffer))
console.log(new Float32Array(buffer))<html>
<head>
<!-- Load TensorFlow.js -->
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.0.0"> </script>
</head>
<body>
</body>
</html>answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
edited Mar 8 at 9:28
answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
answered Mar 8 at 9:23
edkevekededkeveked
5,74831848
5,74831848
Is data() OK? Because dataSync() will block the UI thread until the values are ready, which can cause performance issues.
– YifanLu
Mar 9 at 5:54
You can usedata()
– edkeveked
Mar 9 at 9:43
After executing the data() function, is there any way to get the data after it is executed? Such as callback
– YifanLu
Mar 11 at 13:11
add a comment |
Is data() OK? Because dataSync() will block the UI thread until the values are ready, which can cause performance issues.
– YifanLu
Mar 9 at 5:54
You can usedata()
– edkeveked
Mar 9 at 9:43
After executing the data() function, is there any way to get the data after it is executed? Such as callback
– YifanLu
Mar 11 at 13:11
Is data() OK? Because dataSync() will block the UI thread until the values are ready, which can cause performance issues.
– YifanLu
Mar 9 at 5:54
Is data() OK? Because dataSync() will block the UI thread until the values are ready, which can cause performance issues.
– YifanLu
Mar 9 at 5:54
You can use
data()– edkeveked
Mar 9 at 9:43
You can use
data()– edkeveked
Mar 9 at 9:43
After executing the data() function, is there any way to get the data after it is executed? Such as callback
– YifanLu
Mar 11 at 13:11
After executing the data() function, is there any way to get the data after it is executed? Such as callback
– YifanLu
Mar 11 at 13:11
add a comment |
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