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
49 lines
1.3 KiB
Rust
49 lines
1.3 KiB
Rust
use super::*;
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use serial_test::serial;
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use core::f32;
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use burn_tensor::{Distribution, Shape, Tensor, backend::Backend};
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use cubek::random::{assert_number_of_1_proportional_to_prob, assert_wald_wolfowitz_runs_test};
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#[test]
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#[serial]
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fn number_of_1_proportional_to_prob() {
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let device = Default::default();
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TestBackend::seed(&device, 0);
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let shape: Shape = [40, 40].into();
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let prob = 0.7;
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let tensor =
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Tensor::<TestBackend, 2>::random(shape.clone(), Distribution::Bernoulli(prob), &device)
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.into_data();
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let numbers = tensor
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.as_slice::<<TestBackend as Backend>::FloatElem>()
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.unwrap();
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assert_number_of_1_proportional_to_prob(numbers, prob as f32);
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}
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#[test]
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#[serial]
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fn wald_wolfowitz_runs_test() {
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let device = Default::default();
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TestBackend::seed(&device, 0);
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let shape = Shape::new([512, 512]);
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let device = Default::default();
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let tensor = Tensor::<TestBackend, 2>::random(shape, Distribution::Bernoulli(0.5), &device);
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let data = tensor.into_data();
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let numbers = data
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.as_slice::<<TestBackend as Backend>::FloatElem>()
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.unwrap();
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// High bound slightly over 1 so 1.0 is included in second bin
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assert_wald_wolfowitz_runs_test(numbers, 0., 1.1);
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}
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