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Searched refs:model2 (Results 1 – 4 of 4) sorted by relevance

/third_party/mindspore/mindspore/lite/examples/runtime_cpp/
Dmain.cc480 auto model2 = CreateAndBuildModel(model_buf, size); in RunModelParallel() local
482 if (model1 == nullptr || model2 == nullptr) { in RunModelParallel()
506 auto generate_input_ret = GetInputsByTensorNameAndSetData(model2); in RunModelParallel()
512 auto inputs = model2->GetInputs(); in RunModelParallel()
513 auto outputs = model2->GetOutputs(); in RunModelParallel()
514 auto predict_ret = model2->Predict(inputs, &outputs); in RunModelParallel()
530 GetOutputsByNodeName(model2); in RunModelParallel()
534 delete model2; in RunModelParallel()
592 auto model2 = new (std::nothrow) mindspore::Model(); in RunWithSharedMemoryPool() local
593 if (model2 == nullptr) { in RunWithSharedMemoryPool()
[all …]
/third_party/ffmpeg/libavcodec/
Dvp5.c186 uint8_t *model1, *model2; in vp5_parse_coeff() local
204 model2 = model->coeff_dcct[pt][ctx]; in vp5_parse_coeff()
208 if (vp56_rac_get_prob_branchy(c, model2[0])) { in vp5_parse_coeff()
209 if (vp56_rac_get_prob_branchy(c, model2[2])) { in vp5_parse_coeff()
210 if (vp56_rac_get_prob_branchy(c, model2[3])) { in vp5_parse_coeff()
218 if (vp56_rac_get_prob_branchy(c, model2[4])) { in vp5_parse_coeff()
239 if (ct && !vp56_rac_get_prob_branchy(c, model2[1])) in vp5_parse_coeff()
251 model2 = cg > 2 ? model1 : model->coeff_acct[pt][ct][cg][ctx]; in vp5_parse_coeff()
Dvp6.c471 uint8_t *model1, *model2, *model3; in vp6_parse_coeff() local
490 model2 = model->coeff_dcct[pt][ctx]; in vp6_parse_coeff()
494 if ((coeff_idx>1 && ct==0) || vp56_rac_get_prob_branchy(c, model2[0])) { in vp6_parse_coeff()
496 if (vp56_rac_get_prob_branchy(c, model2[2])) { in vp6_parse_coeff()
497 if (vp56_rac_get_prob_branchy(c, model2[3])) { in vp6_parse_coeff()
503 if (vp56_rac_get_prob_branchy(c, model2[4])) in vp6_parse_coeff()
524 if (!vp56_rac_get_prob_branchy(c, model2[1])) in vp6_parse_coeff()
538 model1 = model2 = model->coeff_ract[pt][ct][cg]; in vp6_parse_coeff()
/third_party/mindspore/tests/ut/python/train/
Dtest_training.py150 model2 = Model(net2, eval_network=net2, eval_indexes=[0, 1, 2], metrics={"loss"})
152 model2.eval(dataset)