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
61 lines
2.0 KiB
Rust
61 lines
2.0 KiB
Rust
use super::*;
|
|
use burn_tensor::TensorData;
|
|
use burn_tensor::Tolerance;
|
|
|
|
#[test]
|
|
fn should_diff_transpose() {
|
|
let data_1 = TensorData::from([[1.0, 7.0], [2.0, 3.0]]);
|
|
let data_2 = TensorData::from([[4.0, 7.0], [2.0, 3.0]]);
|
|
|
|
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().transpose());
|
|
let tensor_4 = tensor_3.transpose();
|
|
let grads = tensor_4.backward();
|
|
|
|
let grad_1 = tensor_1.grad(&grads).unwrap();
|
|
let grad_2 = tensor_2.grad(&grads).unwrap();
|
|
|
|
grad_1.to_data().assert_approx_eq::<FloatElem>(
|
|
&TensorData::from([[6.0, 10.0], [6.0, 10.0]]),
|
|
Tolerance::default(),
|
|
);
|
|
grad_2.to_data().assert_approx_eq::<FloatElem>(
|
|
&TensorData::from([[3.0, 10.0], [3.0, 10.0]]),
|
|
Tolerance::default(),
|
|
);
|
|
}
|
|
|
|
#[test]
|
|
fn should_diff_swap_dims() {
|
|
let device = Default::default();
|
|
let tensor_1 = TestAutodiffTensor::<3>::from_floats(
|
|
[[[0.0, 1.0], [3.0, 4.0]], [[6.0, 7.0], [9.0, 10.0]]],
|
|
&device,
|
|
)
|
|
.require_grad();
|
|
let tensor_2 = TestAutodiffTensor::from_floats(
|
|
[[[1.0, 4.0], [2.0, 5.0]], [[7.0, 10.0], [8.0, 11.0]]],
|
|
&device,
|
|
)
|
|
.require_grad();
|
|
|
|
let tensor_3 = tensor_1.clone().matmul(tensor_2.clone().swap_dims(0, 2));
|
|
let tensor_4 = tensor_3.matmul(tensor_2.clone().swap_dims(1, 2));
|
|
let grads = tensor_4.backward();
|
|
|
|
let grad_1 = tensor_1.grad(&grads).unwrap();
|
|
let grad_2 = tensor_2.grad(&grads).unwrap();
|
|
|
|
grad_1.to_data().assert_approx_eq::<FloatElem>(
|
|
&TensorData::from([[[66., 78.], [66., 78.]], [[270., 306.], [270., 306.]]]),
|
|
Tolerance::default(),
|
|
);
|
|
grad_2.to_data().assert_approx_eq::<FloatElem>(
|
|
&TensorData::from([[[22., 286.], [28., 316.]], [[172., 652.], [190., 694.]]]),
|
|
Tolerance::default(),
|
|
);
|
|
}
|