Ben_Kosytorz
3a67c0979c
- Updated stablediffusion crate path from "../stable-diffusion-burn" to "./crates/stable-diffusion-burn" for proper workspace resolution - Enhanced .gitignore to include generated model files (.mpk, .pt, .bin, .safetensors, .ckpt) and user_data directory - Added Cargo.lock to gitignore with appropriate comment - Reorganized IDE files section in gitignore for better clarity - Added newline at end of file for proper formatting
25 lines
949 B
Rust
25 lines
949 B
Rust
use super::*;
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use burn_tensor::{Int, Tensor, TensorData, module::embedding};
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#[test]
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fn test_embedding_backward() {
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let weights = TensorData::from([[0.0, 1.0, 2.0], [3.0, 4.0, 5.0]]);
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let indices = TensorData::from([[0, 1], [1, 1]]);
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let x = TensorData::from([
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[[1.0, 2.0], [4.0, 5.0], [3.0, 4.0]],
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[[4.0, 5.0], [8.0, 5.0], [1.0, 9.0]],
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]);
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let device = Default::default();
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let weights = Tensor::<TestAutodiffBackend, 2>::from_data(weights, &device).require_grad();
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let indices = Tensor::<TestAutodiffBackend, 2, Int>::from_data(indices, &device);
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let x = Tensor::<TestAutodiffBackend, 3>::from_data(x, &device).require_grad();
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let output = embedding(weights.clone(), indices);
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let output = output.matmul(x);
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let grads = output.backward();
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let grad = weights.grad(&grads).unwrap();
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grad.to_data()
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.assert_eq(&TensorData::from([[3., 9., 7.], [21., 35., 27.]]), false);
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}
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