Input/Output Operations

Note

A practical example of the vast majority of the operations in this page are included in a working example in our GitHub respository

Input

load

Tensor* t1 = Tensor::load("mytensor.bin");
// [
// [1.00 2.00 3.00]
// [4.00 5.00 6.00]
// [7.00 8.00 9.00]
// ]

Output

save

void Tensor::save(const string &filename, string format = "")

Save tensor to a file.

Parameters

filename – Name of the file to save the tensor to.
format – Filetype. The accepted filetypes are the following:
- Images: png, bmp, tga, jpg, jpeg, hdr.
- Text: csv, tsv, txt
- Other: bin

Returns

void

// Create matrix
Tensor* t1 = Tensor::range(1, 9); t1->reshape_({3, 3});
// [
// [1.00 2.00 3.00]
// [4.00 5.00 6.00]
// [7.00 8.00 9.00]
// ]

t1->save("mytensor.bin");
t1->save("mytensor.txt");
t1->save("mytensor.csv");

// Create matrix
Tensor* t1 = Tensor::range(1, 3*100*100);

// Reshape to a 4D tensor and normalize to RGB (0-255)
t1->reshape_({1, 3, 100, 100});
t1->normalize_(0, 255);

t1->save("mytensor.jpg");