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
94 lines
3.1 KiB
Rust
94 lines
3.1 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_powf_scalar() {
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let data_1 = TensorData::from([[0.0, 1.0], [3.0, 4.0]]);
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let data_2 = TensorData::from([[6.0, 7.0], [9.0, 10.0]]);
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let device = Default::default();
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let tensor_1 = TestAutodiffTensor::<2>::from_data(data_1, &device).require_grad();
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let tensor_2 = TestAutodiffTensor::from_data(data_2, &device).require_grad();
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let tensor_3 = tensor_1.clone().matmul(tensor_2.clone().powf_scalar(0.4));
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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(2e-3);
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let expected = TensorData::from([[68.0, 79.0328], [68.0, 79.0328]]);
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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([[23.5081, 25.2779], [26.0502, 28.6383]]);
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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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#[test]
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fn should_diff_powf() {
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let device = Default::default();
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let tensor_1 = TestAutodiffTensor::<1>::from_data([2.0, 7.0], &device).require_grad();
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let tensor_2 = TestAutodiffTensor::from_data([4.0, 2.0], &device).require_grad();
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let tensor_3 = tensor_1.clone().powf(tensor_2.clone());
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let grads = tensor_3.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([32.0, 14.0]);
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grad_1
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.into_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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let expected = TensorData::from([11.09035, 95.34960]);
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grad_2
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.into_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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let expected = TensorData::from([16.0, 49.0]);
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tensor_3
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.into_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_powf_with_untracked_lhs() {
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let device = Default::default();
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let tensor_1 = TestAutodiffTensor::<1>::from_data([2.0, 7.0], &device);
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let tensor_2 = TestAutodiffTensor::from_data([4.0, 2.0], &device).require_grad();
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let tensor_3 = tensor_1.clone().powf(tensor_2.clone());
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let grads = tensor_3.backward();
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let grad_2 = tensor_2.grad(&grads).unwrap();
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let expected = TensorData::from([11.09035, 95.34960]);
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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_powf_with_untracked_rhs() {
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let device = Default::default();
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let tensor_1 = TestAutodiffTensor::<1>::from_data([2.0, 7.0], &device).require_grad();
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let tensor_2 = TestAutodiffTensor::from_data([4.0, 2.0], &device);
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let tensor_3 = tensor_1.clone().powf(tensor_2.clone());
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let grads = tensor_3.backward();
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let grad_1 = tensor_1.grad(&grads).unwrap();
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let expected = TensorData::from([32.0, 14.0]);
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grad_1
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.into_data()
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.assert_approx_eq::<FloatElem>(&expected, Tolerance::default());
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}
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