Updated performance numbers

NVlabs · Apr 8, 2024 · 4c0c24a · 4c0c24a
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commit 4c0c24a
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Showing 2 changed files with 5 additions and 6 deletions.
diff --git a/cpp/FLIP.h b/cpp/FLIP.h
@@ -2369,7 +2369,6 @@ namespace FLIP
             FLIP::image<FLIP::color3> rImage(referenceImage.getWidth(), referenceImage.getHeight());
             FLIP::image<FLIP::color3> tImage(referenceImage.getWidth(), referenceImage.getHeight());
             FLIP::image<float> tmpErrorMap(referenceImage.getWidth(), referenceImage.getHeight(), 0.0f);
-            FLIP::image<float> prevTmpErrorMap(referenceImage.getWidth(), referenceImage.getHeight());
 
             float exposureStepSize = (parameters.stopExposure - parameters.startExposure) / (parameters.numExposures - 1);
             for (int i = 0; i < parameters.numExposures; i++)

diff --git a/misc/versionList.md b/misc/versionList.md
@@ -6,10 +6,10 @@ changed for the different versions of ꟻLIP:
 # Version 1.4 (commit nnnnnnn)
 - Changed the Python version of ꟻLIP so that it leverages the C++ code through [pybind11](https://github.com/pybind/pybind11).
 	- Results (only evaluation, not including file load/save, etc):
-		- 16-26x faster for LDR/HDR CPU (depends on CPU setup).
+		- 19-34x faster for LDR/HDR CPU (measured on an AMD Ryzen Threadripper 3970X 32-Core Processor, 3693 MHz, with 32 Cores and 64 Logical Processors).
 		- Timings for 1920x1080 images:
-			- Python/LDR: 91 ms
-			- Python/HDR: 1291 ms
+			- Python/LDR: 81 ms
+			- Python/HDR: 1370 ms
 	- **NOTE**: The Python version can currently _not_ run the CUDA version of ꟻLIP (see issue nnnnnn).
 	- **NOTE**: The Python tool now uses the C++ tool. Compared to before, you will need to change `_` to `-` when calling flip.py (e.g., `python flip.py -r reference.exr -t test.exr --start_exposure 3` is now `python flip.py -r reference.exr -t test.exr --start-exposure 3`; see `python flip.py -h`).
 - The Python version of ꟻLIP can now be installed using `pip` (run `pip install -r requirements.txt .` from the `python` folder).
@@ -35,8 +35,8 @@ changed for the different versions of ꟻLIP:
     - Merges several functions/kernels into fewer.
     - Uses OpenMP for the CPU.
     - Results (not including file load/save):
-        - 111-124x faster for LDR/HDR CPU (depends on CPU setup, though).
-        - 2.4-2.8x faster LDR/HDR CUDA (depends on CPU/GPU setup)
+        - 111-124x faster for LDR/HDR CPU (measured on an AMD Ryzen Threadripper 3970X 32-Core Processor, 3693 MHz, with 32 Cores and 64 Logical Processors).
+        - 2.4-2.8x faster LDR/HDR CUDA (measured on an AMD Ryzen Threadripper 3970X 32-Core Processor, 3693 MHz, with 32 Cores and 64 Logical Processors, together with an NVIDIA RTX 3090).
 		- Timings for 1920x1080 images:
 			- CPP/LDR: 63 ms
 			- CPP/HDR: 1050 ms