autotuning::allow_lower_precision_training |
bool/false |
Enables to use FP16 in FP32 convolutions. |
autotuning::max_runs |
int/100 |
Max number of runs per library and layer. |
autotuning::not_improved |
int/5 |
Number of runs without improvement when autotuning will be stopped. |
compiler::debug |
bool/false |
Adds assertions in the code to check correctness at runtime (requires jit::debug ). |
compiler::debug |
bool/false |
Generates code with debug symbols, prints execution times per cluster and inserts assertions to check correctness of memory allocations/frees. |
compiler::debug_graph |
bool/false |
Generates SVGs in .sol/debug with the network structure. |
compiler::debug_memory_consumption |
bool/false |
Generates memory consumption estimations in .sol/debug. |
compiler::debug_text |
bool/false |
Textural network output in .sol/debug. |
compiler::deterministic |
‘strict’, ‘relaxed’, ‘idontcare’ |
Determines how deterministic SOL results will be. ‘strict’ enforces identical behavior as the AI framework. ‘relaxed’ enables more optimizations (i.e., Bernoulli(0.0), non-deterministic algorithms). ‘idontcare’ allows to even choose faster random algorithms. |
compiler::performance_warning |
bool/false |
Shows warning, if chose hyper-parameters have negative impact on performance. |
compiler::profile |
bool/false |
Shows performance of fused layers. |
compiler::remove_unused_params |
bool/false |
Removes unused model parameters. |
conv::sampling |
bool/true |
|
dfp::debug |
bool/false |
Generates SVGs for the DFP computation graph. |
dfp::debug_details |
bool/false |
Shows more detailed information in the DFP computation graphs. |
heuristic::[backend]::[layer]::[inf, fwd, bwd, fil] |
integer |
Defines the heuristic value used by [backend] for [layer] |
jit::debug |
bool/false |
Enables debugging in the generated code. |
onnx::debug |
bool/false |
Generates SVGs for the ONNX computation graph. |
reporting |
bool/false |
Enables GCC/NCC reporting on the generated code. |
tvmc::tune |
bool/false |
Tune the computation graph platform specifically (compilation will take significantly longer). |