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| # Copyright (c) 2020-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. | |
| # | |
| # NVIDIA CORPORATION, its affiliates and licensors retain all intellectual | |
| # property and proprietary rights in and to this material, related | |
| # documentation and any modifications thereto. Any use, reproduction, | |
| # disclosure or distribution of this material and related documentation | |
| # without an express license agreement from NVIDIA CORPORATION or | |
| # its affiliates is strictly prohibited. | |
| import torch | |
| import os | |
| import sys | |
| sys.path.insert(0, os.path.join(sys.path[0], '../..')) | |
| import renderutils as ru | |
| RES = 8 | |
| DTYPE = torch.float32 | |
| def tonemap_srgb(f): | |
| return torch.where(f > 0.0031308, torch.pow(torch.clamp(f, min=0.0031308), 1.0/2.4)*1.055 - 0.055, 12.92*f) | |
| def l1(output, target): | |
| x = torch.clamp(output, min=0, max=65535) | |
| r = torch.clamp(target, min=0, max=65535) | |
| x = tonemap_srgb(torch.log(x + 1)) | |
| r = tonemap_srgb(torch.log(r + 1)) | |
| return torch.nn.functional.l1_loss(x,r) | |
| def relative_loss(name, ref, cuda): | |
| ref = ref.float() | |
| cuda = cuda.float() | |
| print(name, torch.max(torch.abs(ref - cuda) / torch.abs(ref + 1e-7)).item()) | |
| def test_loss(loss, tonemapper): | |
| img_cuda = torch.rand(1, RES, RES, 3, dtype=DTYPE, device='cuda', requires_grad=True) | |
| img_ref = img_cuda.clone().detach().requires_grad_(True) | |
| target_cuda = torch.rand(1, RES, RES, 3, dtype=DTYPE, device='cuda', requires_grad=True) | |
| target_ref = target_cuda.clone().detach().requires_grad_(True) | |
| ref_loss = ru.image_loss(img_ref, target_ref, loss=loss, tonemapper=tonemapper, use_python=True) | |
| ref_loss.backward() | |
| cuda_loss = ru.image_loss(img_cuda, target_cuda, loss=loss, tonemapper=tonemapper) | |
| cuda_loss.backward() | |
| print("-------------------------------------------------------------") | |
| print(" Loss: %s, %s" % (loss, tonemapper)) | |
| print("-------------------------------------------------------------") | |
| relative_loss("res:", ref_loss, cuda_loss) | |
| relative_loss("img:", img_ref.grad, img_cuda.grad) | |
| relative_loss("target:", target_ref.grad, target_cuda.grad) | |
| test_loss('l1', 'none') | |
| test_loss('l1', 'log_srgb') | |
| test_loss('mse', 'log_srgb') | |
| test_loss('smape', 'none') | |
| test_loss('relmse', 'none') | |
| test_loss('mse', 'none') |