/dports/misc/darknet/darknet-darknet_yolo_v4_pre/src/ |
H A D | writing.c | 40 while(get_current_batch(net) < net.max_batches || net.max_batches == 0){ in train_writing() 68 …printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)… in train_writing() 70 if(get_current_batch(net)%100 == 0){ in train_writing() 72 sprintf(buff, "%s/%s_batch_%d.weights", backup_directory, base, get_current_batch(net)); in train_writing()
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H A D | cifar.c | 26 while(get_current_batch(net) < net.max_batches || net.max_batches == 0){ in train_cifar() 32 …printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)… in train_cifar() 39 if(get_current_batch(net)%100 == 0){ in train_cifar() 82 while(get_current_batch(net) < net.max_batches || net.max_batches == 0){ in train_cifar_distill() 88 …printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)… in train_cifar_distill() 95 if(get_current_batch(net)%100 == 0){ in train_cifar_distill()
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H A D | tag.c | 55 while(get_current_batch(net) < net.max_batches || net.max_batches == 0){ in train_tag() 66 …printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)… in train_tag() 74 if(get_current_batch(net)%100 == 0){ in train_tag()
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H A D | go.c | 138 while(get_current_batch(net) < net.max_batches || net.max_batches == 0){ in train_go() 145 …printf("%d, %.3f: %f, %f avg, %f rate, %lf seconds, %ld images\n", get_current_batch(net), (float)… in train_go() 153 if(get_current_batch(net)%100 == 0){ in train_go() 158 if(get_current_batch(net)%10000 == 0){ in train_go() 160 sprintf(buff, "%s/%s_%d.backup",backup_directory,base,get_current_batch(net)); in train_go()
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H A D | swag.c | 50 while(get_current_batch(net) < net.max_batches){ in train_swag()
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H A D | network.h | 111 int get_current_batch(network net);
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H A D | super.c | 42 while(get_current_batch(net) < net.max_batches){ in train_super()
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H A D | classifier.c | 133 int iter_save = get_current_batch(net); in train_classifier() 134 int iter_save_last = get_current_batch(net); in train_classifier() 135 int iter_topk = get_current_batch(net); in train_classifier() 142 while(get_current_batch(net) < net.max_batches || net.max_batches == 0){ in train_classifier() 165 i = get_current_batch(net); in train_classifier() 195 …3f: %f, %f avg, %f rate, %lf seconds, %ld images, %f hours left\n", get_current_batch(net), (float… in train_classifier()
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H A D | voxel.c | 77 while(get_current_batch(net) < net.max_batches){ in train_voxel()
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H A D | rnn.c | 176 while(get_current_batch(net) < net.max_batches){ in train_char_rnn() 192 int chars = get_current_batch(net)*batch; in train_char_rnn()
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H A D | rnn_vid.c | 98 while(get_current_batch(net) < net.max_batches){ in train_vid_rnn()
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H A D | network_kernels.cu | 273 l.t = get_current_batch(net); in update_network_gpu() 442 l.t = get_current_batch(net); in update_layer()
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H A D | network.c | 65 int get_current_batch(network net) in get_current_batch() function 111 int batch_num = get_current_batch(net); in get_current_seq_subdivisions() 133 int batch_num = get_current_batch(net); in get_current_rate()
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H A D | yolo.c | 59 while(get_current_batch(net) < net.max_batches){ in train_yolo()
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H A D | coco.c | 66 while(get_current_batch(net) < net.max_batches){ in train_coco()
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/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/src/ |
H A D | ReLU.cpp | 169 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in forwardPropagate() 223 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in backPropagate()
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H A D | FullyConnected.cpp | 587 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in forwardPropagate() 589 if(eptr_->get_current_batch() % STATFREQ == 0) in forwardPropagate() 693 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in backPropagate() 695 if(eptr_->get_current_batch() % STATFREQ == 0) in backPropagate()
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H A D | Split.cpp | 170 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in forwardPropagate() 295 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in backPropagate()
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H A D | Pooling.cpp | 269 if(node_id==0 && eptr_->get_current_batch() % STATFREQ == 0) in forwardPropagate() 364 if(node_id==0 && eptr_->get_current_batch() % STATFREQ == 0) in backPropagate()
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H A D | Solver.cpp | 87 …int iter = eptr_->get_current_batch() + eptr_->get_num_train_batches() * eptr_->get_current_epoch(… in applyUpdate() 326 …int iter = eptr_->get_current_batch() + eptr_->get_num_train_batches() * eptr_->get_current_epoch(… in applyUpdate() 564 …int iter = eptr_->get_current_batch() + eptr_->get_num_train_batches() * eptr_->get_current_epoch(… in applyUpdate() 704 …int iter = eptr_->get_current_batch() + eptr_->get_num_train_batches() * eptr_->get_current_epoch(… in applyUpdate()
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H A D | SoftmaxLoss.cpp | 190 if(node_id_ == 0 && eptr_->get_current_batch() % LOSSFREQ == 0) in forwardPropagate()
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H A D | Conv.cpp | 737 if(eptr_->get_current_batch() % STATFREQ == 0) in forwardPropagate() 937 if(eptr_->get_current_batch() % STATFREQ == 0) in backPropagate() 1007 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in weightUpdate() 1009 if(eptr_->get_current_batch() % STATFREQ == 0) in weightUpdate()
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H A D | FusedBNorm.cpp | 556 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in forwardPropagate() 794 if(node_id == 0 && eptr_->get_current_batch() % STATFREQ == 0) in backPropagate()
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H A D | ImageData.cpp | 389 if(node_id == 0 && eptr->get_current_batch() % STATFREQ == 0) in forwardPropagate()
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/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/include/ |
H A D | Engine.hpp | 163 int get_current_batch() { return current_batch_; } in get_current_batch() function in MLEngine
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