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https://github.com/nerfstudio-project/nerfstudio.git
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d542646c72
* `isort` -> `ruff` * `pylint` -> `ruff` * Remove line * More minor cleanup * Better documentation for rules we are enabling * Fix gitignore, run black * vscode settings --------- Co-authored-by: Matt Tancik <mattt4001@gmail.com>
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
"""
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Test the fields
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"""
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import torch
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from nerfstudio.cameras.rays import Frustums, RaySamples
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from nerfstudio.fields.instant_ngp_field import TCNNInstantNGPField
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def test_tcnn_instant_ngp_field():
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"""Test the tiny-cuda-nn field"""
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try:
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import tinycudann as tcnn # noqa: F401
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except ImportError as e:
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# tinycudann module doesn't exist
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print(e)
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return
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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aabb_scale = 1.0
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aabb = torch.tensor(
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[[-aabb_scale, -aabb_scale, -aabb_scale], [aabb_scale, aabb_scale, aabb_scale]], dtype=torch.float32
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).to(device)
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field = TCNNInstantNGPField(aabb)
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num_rays = 1024
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num_samples = 256
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positions = torch.rand((num_rays, num_samples, 3), dtype=torch.float32, device=device)
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directions = torch.rand_like(positions)
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frustums = Frustums(
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origins=positions,
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directions=directions,
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starts=torch.zeros((*directions.shape[:-1], 1), device=device),
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ends=torch.zeros((*directions.shape[:-1], 1), device=device),
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pixel_area=torch.ones((*directions.shape[:-1], 1), device=device),
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)
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ray_samples = RaySamples(frustums=frustums)
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field.forward(ray_samples)
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if __name__ == "__main__":
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test_tcnn_instant_ngp_field()
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