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configs : added output label description depending on option set

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saundersp 2023-08-03 21:35:03 +02:00
parent c2f46806c6
commit f65c58d95c
2 changed files with 17 additions and 2 deletions
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9
cpp/config.hpp
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@ -14,12 +14,19 @@
__device__ constexpr const size_t M = 5; //log2(NB_THREADS_2D_Y)); __device__ constexpr const size_t M = 5; //log2(NB_THREADS_2D_Y));
#endif #endif
// Save state to avoid recalulation on restart // Save state to avoid recalculation on restart
#define SAVE_STATE true #define SAVE_STATE true
// Redo the state even if it's already saved // Redo the state even if it's already saved
#define FORCE_REDO false #define FORCE_REDO false
// Use GPU to greatly accelerate runtime // Use GPU to greatly accelerate runtime
#define GPU_BOOSTED true #define GPU_BOOSTED true
// Depending on what you set, the output label will be as follow :
// | GPU_BOOSTED | LABEL |
// |-------------|-------|
// | true | GPU |
// | false | CPU |
// Number of weak classifiers // Number of weak classifiers
// const size_t TS[] = { 1 }; // const size_t TS[] = { 1 };
// const size_t TS[] = { 1, 5, 10 }; // const size_t TS[] = { 1, 5, 10 };

10
python/config.py
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@ -9,7 +9,7 @@ NB_THREADS_2D = (32, 32)
NB_THREADS_3D = (16, 16, 4) NB_THREADS_3D = (16, 16, 4)
M = int(np.log2(NB_THREADS_2D[1])) M = int(np.log2(NB_THREADS_2D[1]))
# Save state to avoid recalulation on restart # Save state to avoid recalculation on restart
SAVE_STATE = True SAVE_STATE = True
# Redo the state even if it's already saved # Redo the state even if it's already saved
FORCE_REDO = False FORCE_REDO = False
@ -17,6 +17,14 @@ FORCE_REDO = False
COMPILE_WITH_C = True COMPILE_WITH_C = True
# Use GPU to greatly accelerate runtime (as priority over NJIT) # Use GPU to greatly accelerate runtime (as priority over NJIT)
GPU_BOOSTED = True GPU_BOOSTED = True
# Depending on what you set, the output label will be as follow :
# | COMPILE_WITH_C | GPU_BOOSTED | LABEL |
# |----------------|-------------|-------|
# | True | True | GPU |
# | True | False | CPU |
# | False | True | PGPU |
# | False | False | PY |
# Number of weak classifiers # Number of weak classifiers
# TS = [1] # TS = [1]
# TS = [1, 5, 10] # TS = [1, 5, 10]