First PyTorch computation - Model Pipeline Trace

Model Pipeline - First PyTorch computation

This pipeline shows how PyTorch performs a simple computation: adding two tensors. It starts with input tensors, adds them, and produces the output tensor.

Data Flow - 2 Stages

1Input tensors

2 tensors of shape (2, 2)→Create two tensors with numbers→2 tensors of shape (2, 2)

[[1, 2], [3, 4]] and [[5, 6], [7, 8]]

↓

2Tensor addition

2 tensors of shape (2, 2)→Add the two tensors element-wise→1 tensor of shape (2, 2)

[[6, 8], [10, 12]]

Training Trace - Epoch by Epoch

No training loss to show for this computation

Epoch	Loss ↓	Accuracy ↑	Observation
1	N/A	N/A	No training, just a simple computation

Prediction Trace - 2 Layers

Layer 1: Input tensors

Layer 2: Add tensors

Model Quiz - 3 Questions

What is the shape of the output tensor after adding two (2, 2) tensors?

A (4, 4)

B (2, 2)

C (2, 4)

D (1, 2)

Key Insight

This example shows how PyTorch handles basic tensor operations without training. It helps beginners understand tensors and simple computations before moving to complex models.