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
29 lines
999 B
Rust
29 lines
999 B
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_log1p() {
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let tensor_1 = TestAutodiffTensor::<2>::from([[0.0, 1.0], [3.0, 4.0]]).require_grad();
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let tensor_2 = TestAutodiffTensor::from([[6.0, 7.0], [9.0, 10.0]]).require_grad();
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let tensor_3 = tensor_1.clone().matmul(tensor_2.clone().log1p());
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let tensor_4 = tensor_3.matmul(tensor_2.clone());
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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 tolerance = Tolerance::default().set_half_precision_relative(1e-3);
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let expected = TensorData::from([[64.80622101, 75.49362183], [64.80622101, 75.49362183]]);
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grad_1
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, tolerance);
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let expected = TensorData::from([[22.92208481, 24.47565651], [24.72780228, 26.86416626]]);
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grad_2
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.to_data()
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.assert_approx_eq::<FloatElem>(&expected, tolerance);
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}
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