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PyTorch practice problems
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Showing 24 of 24
| Title | Difficulty | Category | Tags |
|---|---|---|---|
| Apply Along an Axis | Medium | Framework |
|
| Batched Matrix Multiply | Medium | Framework |
|
| Bidirectional RNN | Medium | Framework |
|
| Broadcasting Addition | Easy | Framework |
|
| Causal Attention with Framework Operations | Hard | Framework |
|
| Compute Gradient | Medium | Framework |
|
| Compute Jacobian | Hard | Framework |
|
| Concatenate Tensors | Easy | Framework |
|
| Create a Tensor from a List | Easy | Framework |
|
| Cumulative Sum | Easy | Framework |
|
| Custom Activation with Gradient | Hard | Framework |
|
| Einstein Summation | Medium | Framework |
|
| Element-wise Operations | Easy | Framework |
|
| Gather Elements | Medium | Framework |
|
| Masked Fill | Medium | Framework |
|
| Matrix Multiplication | Easy | Framework |
|
| Mixed Precision Forward Pass | Hard | Framework |
|
| Per-Sample Gradients with vmap | Hard | Framework |
|
| Reshape a Tensor | Easy | Framework |
|
| Scatter Add | Medium | Framework |
|
| Stack Tensors | Easy | Framework |
|
| Tensor Indexing and Slicing | Easy | Framework |
|
| Top-K Values | Medium | Framework |
|
| Transpose a Matrix | Easy | Framework |
|