| 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 |
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::name |
string/Unknown |
Name used for the debug files. |
| 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). |