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
42 lines
1.3 KiB
Rust
42 lines
1.3 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_remainder() {
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let device = Default::default();
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let tensor_1 = TestAutodiffTensor::<1>::from_data(
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TensorData::from([
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0.9742, 0.3676, 0.0905, 0.8066, 0.7072, 0.7883, 0.6987, 0.1560, 0.7179, 0.7874, 0.9032,
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0.1845,
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]),
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&device,
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)
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.require_grad();
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let tensor_2 = TestAutodiffTensor::<1>::from_data(
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TensorData::from([
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0.3357, 0.0285, 0.4115, 0.5511, 0.8637, 0.3593, 0.3885, 0.2569, 0.0936, 0.7172, 0.4792,
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0.4898,
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]),
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&device,
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)
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.require_grad();
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let tensor_3 = tensor_1.clone().remainder(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([1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]);
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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([
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-2.0, -12.0, -0.0, -1.0, -0.0, -2.0, -1.0, -0.0, -7.0, -1.0, -1.0, -0.0,
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]);
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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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