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implemented a nice display for attention weight based on sample inputs
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Original file line number | Diff line number | Diff line change |
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@@ -1,3 +1,42 @@ | ||
use ndarray::{array, s, Array2, Array3}; | ||
use Transformer::attention::scaled_dot_attention::scaled_dot_product; | ||
use Transformer::attention::softmax::softmax_3d; | ||
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fn main() { | ||
println!("runs successfully!"); | ||
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let a: Array3<f32> = array![[ | ||
[0.1, 0.2, 0.3], | ||
[0.4, 0.5, 0.6], | ||
[0.7, 0.8, 0.9], | ||
[1.0, 1.1, 1.2], | ||
[0.1, 0.2, 0.3], | ||
[1.3, 1.4, 1.5] | ||
]]; | ||
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let scores = scaled_dot_product(a.clone(), a.clone(), a.clone(), false); | ||
let sm_scores = softmax_3d(&scores); | ||
// Words corresponding to the input | ||
let words = ["the", "cat", "sat", "on", "the", "mat"]; | ||
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display_attention_weights(sm_scores.slice(s![0, .., ..]).to_owned(), &words); | ||
} | ||
fn display_attention_weights(scores: Array2<f32>, words: &[&str]) { | ||
println!("Attention Weights (Softmax Scores):\n"); | ||
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// Print column headers | ||
print!("{:<6}", ""); // Empty corner for alignment | ||
for word in words { | ||
print!(" {:<5}", word); | ||
} | ||
println!(); // New line for clarity | ||
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// Iterate through rows and display each with the corresponding word | ||
for (i, row) in scores.outer_iter().enumerate() { | ||
print!("{:<6}", words[i]); // Row label | ||
for &val in row.iter() { | ||
print!("{:<6.3}", val); // Print score with 3 decimal places | ||
} | ||
println!(); // New line after each row | ||
} | ||
} |