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
32 lines
1.1 KiB
Rust
32 lines
1.1 KiB
Rust
use super::*;
|
|
use burn_tensor::TensorData;
|
|
use burn_tensor::Tolerance;
|
|
|
|
#[test]
|
|
fn should_diff_sqrt() {
|
|
let data_1 = TensorData::from([[0.0, 1.0], [3.0, 4.0]]);
|
|
let data_2 = TensorData::from([[6.0, 7.0], [9.0, 10.0]]);
|
|
|
|
let device = Default::default();
|
|
let tensor_1 = TestAutodiffTensor::<2>::from_data(data_1, &device).require_grad();
|
|
let tensor_2 = TestAutodiffTensor::from_data(data_2, &device).require_grad();
|
|
|
|
let tensor_3 = tensor_1.clone().matmul(tensor_2.clone().sqrt());
|
|
let tensor_4 = tensor_3.matmul(tensor_2.clone());
|
|
let grads = tensor_4.backward();
|
|
|
|
let grad_1 = tensor_1.grad(&grads).unwrap();
|
|
let grad_2 = tensor_2.grad(&grads).unwrap();
|
|
|
|
let tolerance = Tolerance::default().set_half_precision_relative(1e-3);
|
|
let expected = TensorData::from([[82.112640, 99.083275], [82.112640, 99.083275]]);
|
|
grad_1
|
|
.to_data()
|
|
.assert_approx_eq::<FloatElem>(&expected, tolerance);
|
|
|
|
let expected = TensorData::from([[30.309311, 33.120457], [34.581974, 38.769463]]);
|
|
grad_2
|
|
.to_data()
|
|
.assert_approx_eq::<FloatElem>(&expected, tolerance);
|
|
}
|