Tensor Configuration Comparison
| Configuration | Shape | Data type | Elements | Batch memory | Working memory |
|---|---|---|---|---|---|
| Add configurations for side-by-side comparison. | |||||
Formula Used
Image elements: width × height × channels.
Batch elements: batch size × image elements.
Tensor bytes: total elements × bytes per element.
Video elements: batch × frames × height × width × channels.
Dataset bytes: image count × bytes per image.
How to Use
Select an image preset or enter custom dimensions. Choose the tensor layout and element data type. Add batch, dataset, and device details.
Enable extra working-memory copies when needed. Enter preprocessing dimensions for a direct comparison. Submit the form to review every result.
Use comparison tools for alternate configurations. Export results as CSV or PDF. Print the page for offline records.
Example Data
| Use case | Shape | Data type | Batch | Approximate raw batch memory |
|---|---|---|---|---|
| MNIST | 32 × 28 × 28 × 1 | FP32 | 32 | 98 KiB |
| CIFAR-10 | 64 × 32 × 32 × 3 | FP32 | 64 | 768 KiB |
| ImageNet | 32 × 224 × 224 × 3 | FP32 | 32 | 18.38 MiB |
| YOLO | 16 × 640 × 640 × 3 | FP16 | 16 | 37.50 MiB |
Frequently Asked Questions
What is an image tensor?
An image tensor stores pixel values numerically. Its dimensions describe images, channels, height, and width. Frameworks may order these dimensions differently.
What is the difference between NHWC and NCHW?
NHWC stores channels after spatial dimensions. NCHW places channels before height and width. Hardware libraries may prefer one layout.
Does tensor layout change memory size?
Layout usually changes ordering, not element count. Memory stays equal for identical dimensions. Performance may still change significantly.
Why does FP16 use less memory?
FP16 uses sixteen bits per element. FP32 uses thirty-two bits per element. Therefore, FP16 halves raw tensor memory.
Is JPEG size equal to tensor size?
No, JPEG stores compressed image data. Tensors normally hold decoded numeric values. Runtime memory is usually much larger.
How is video tensor memory calculated?
Video tensors include a frame dimension. Multiply frames by spatial and channel dimensions. Then multiply by batch and bytes.
Why include working-memory copies?
Training may create gradients and transformed copies. Activations can require substantial additional memory. The multiplier provides a practical estimate.
How is the safe batch size estimated?
The calculator reserves ten percent memory. It divides remaining capacity by sample memory. Actual models may require additional overhead.
Can this calculator estimate dataset storage?
Yes, it estimates decoded tensor storage. Compression settings estimate stored file size separately. Real formats may produce different ratios.