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
83 lines
2.7 KiB
Rust
83 lines
2.7 KiB
Rust
use super::*;
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use burn_tensor::TensorData;
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use burn_tensor::Tolerance;
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#[test]
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fn should_diff_max_dim() {
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let device = Default::default();
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let tensor_1 =
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TestAutodiffTensor::<2>::from_floats([[1.0, 7.0], [-2.0, -3.0]], &device).require_grad();
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let tensor_2 =
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TestAutodiffTensor::from_floats([[4.0, -7.0], [2.0, 3.0]], &device).require_grad();
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let tensor_3 = tensor_1.clone().matmul(tensor_2.clone());
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let tensor_4 = tensor_1.clone().mul(tensor_3.max_dim(1).unsqueeze());
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let grads = tensor_4.backward();
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let grad_1 = tensor_1.grad(&grads).unwrap();
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let grad_2 = tensor_2.grad(&grads).unwrap();
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let expected = TensorData::from([[50.0, 34.0], [40.0, -10.0]]);
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grad_1
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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let expected = TensorData::from([[8.0, 10.0], [56.0, 15.0]]);
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grad_2
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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}
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#[test]
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fn should_diff_min_dim() {
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let device = Default::default();
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let tensor_1 =
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TestAutodiffTensor::<2>::from_floats([[1.0, 7.0], [-2.0, -3.0]], &device).require_grad();
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let tensor_2 =
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TestAutodiffTensor::from_floats([[4.0, -7.0], [2.0, 3.0]], &device).require_grad();
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let tensor_3 = tensor_1.clone().matmul(tensor_2.clone());
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let tensor_4 = tensor_1.clone().mul(tensor_3.min_dim(1).unsqueeze());
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let grads = tensor_4.backward();
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let grad_1 = tensor_1.grad(&grads).unwrap();
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let grad_2 = tensor_2.grad(&grads).unwrap();
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let expected = TensorData::from([[-42.0, 38.0], [-34.0, -24.0]]);
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grad_1
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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let expected = TensorData::from([[10.0, 8.0], [15.0, 56.0]]);
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grad_2
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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}
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#[test]
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fn should_diff_min_dim_3d_dim1() {
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let device = Default::default();
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let tensor_1 =
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TestAutodiffTensor::<3>::from_floats([[[1.0, 7.0], [-2.0, -3.0]]], &device).require_grad();
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let tensor_2 =
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TestAutodiffTensor::<3>::from_floats([[[4., -7.], [2., 3.]]], &device).require_grad();
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let tensor_3 = tensor_1.clone().mul(tensor_2.clone());
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let tensor_4 = tensor_3.min_dim(1);
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let grads = tensor_4.backward();
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let grad_1 = tensor_1.grad(&grads).unwrap();
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let grad_2 = tensor_2.grad(&grads).unwrap();
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let expected = TensorData::from([[[0., -7.], [2., 0.]]]);
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grad_1
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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let expected = TensorData::from([[[0., 7.], [-2., -0.]]]);
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grad_2
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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}
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