/dports/cad/ngspice_rework/ngspice-35/tests/hicum2/npn/ |
H A D | qaSpec | 55 biases V(emit)=0 V(subs)=0 63 biases V(emit)=0 V(subs)=0 71 biases V(emit)=0 V(subs)=0 79 biases V(emit)=0 V(subs)=0 87 biases V(emit)=0 V(subs)=0 95 biases V(emit)=0 V(subs)=0 103 biases V(emit)=0 V(subs)=0 111 biases V(emit)=0 V(subs)=0 119 biases V(emit)=0 V(subs)=0 128 biases V(emit)=0 V(subs)=0 [all …]
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/dports/mail/nextcloud-mail/mail/vendor/rubix/ml/src/NeuralNet/Layers/ |
H A D | Dense.php | 78 protected $biases; variable in Rubix\\ML\\NeuralNet\\Layers\\Dense 168 $this->biases = new Parameter($biases); 191 if ($this->biases) { 192 $z = $z->add($this->biases->param()); 217 if ($this->biases) { 218 $z = $z->add($this->biases->param()); 257 if ($this->biases) { 260 $this->biases->update($optimizer->step($this->biases, $dB)); 298 if ($this->biases) { 299 yield 'biases' => $this->biases; [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/hisim/nmos/ |
H A D | qaSpec | 50 biases V(s)=0 V(b)=0 71 biases V(s)=0 V(b)=0.5 82 biases V(s)=0 V(b)=0 92 biases V(s)=0 V(b)=0 102 biases V(s)=0 V(b)=0 112 biases V(s)=0 V(b)=0 122 biases V(s)=0 V(b)=0 132 biases V(s)=0 V(b)=0 142 biases V(s)=0 V(b)=0 152 biases V(s)=0 V(b)=0 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/hisim/pmos/ |
H A D | qaSpec | 50 biases V(s)=0 V(b)=0 60 biases V(s)=0 V(b)=1.0 82 biases V(s)=0 V(b)=0 92 biases V(s)=0 V(b)=0 102 biases V(s)=0 V(b)=0 112 biases V(s)=0 V(b)=0 122 biases V(s)=0 V(b)=0 132 biases V(s)=0 V(b)=0 142 biases V(s)=0 V(b)=0 152 biases V(s)=0 V(b)=0 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/hisimhv1/nmos/ |
H A D | qaSpec | 47 biases V(s)=0 V(b)=0 55 biases V(s)=0 V(b)=-0.5 71 biases V(s)=0 V(b)=0 79 biases V(s)=0 V(b)=0 103 biases V(s)=0 V(b)=0 111 biases V(s)=0 V(b)=0 119 biases V(s)=0 V(b)=0 127 biases V(s)=0 V(b)=0 136 biases V(s)=0 V(b)=0 145 biases V(s)=0 V(b)=0 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/hisimhv1/pmos/ |
H A D | qaSpec | 47 biases V(s)=0 V(b)=0 55 biases V(s)=0 V(b)=0.5 63 biases V(s)=0 V(b)=1.5 71 biases V(s)=0 V(b)=0 79 biases V(s)=0 V(b)=0 103 biases V(s)=0 V(b)=0 111 biases V(s)=0 V(b)=0 119 biases V(s)=0 V(b)=0 127 biases V(s)=0 V(b)=0 136 biases V(s)=0 V(b)=0 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/hisimhv2/pmos/ |
H A D | qaSpec | 47 biases V(s)=0 V(b)=0 55 biases V(s)=0 V(b)=0.5 63 biases V(s)=0 V(b)=1.5 71 biases V(s)=0 V(b)=0 79 biases V(s)=0 V(b)=0 103 biases V(s)=0 V(b)=0 111 biases V(s)=0 V(b)=0 119 biases V(s)=0 V(b)=0 127 biases V(s)=0 V(b)=0 136 biases V(s)=0 V(b)=0 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/hisimhv2/nmos/ |
H A D | qaSpec | 47 biases V(s)=0 V(b)=0 55 biases V(s)=0 V(b)=-0.5 71 biases V(s)=0 V(b)=0 79 biases V(s)=0 V(b)=0 103 biases V(s)=0 V(b)=0 111 biases V(s)=0 V(b)=0 119 biases V(s)=0 V(b)=0 127 biases V(s)=0 V(b)=0 136 biases V(s)=0 V(b)=0 145 biases V(s)=0 V(b)=0 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/bsim4/nmos/ |
H A D | qaSpec | 48 biases V(s)=0 V(b)=0 72 biases V(s)=0 V(b)=0 80 biases V(s)=0 V(b)=0 88 biases V(s)=0 V(b)=0 96 biases V(s)=0 V(b)=0 104 biases V(s)=0 V(b)=0 112 biases V(s)=0 V(b)=0 120 biases V(s)=0 V(b)=0 128 biases V(s)=0 V(b)=0 136 biases V(s)=0 V(b)=0 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/bsim4/pmos/ |
H A D | qaSpec | 48 biases V(s)=0 V(b)=0 72 biases V(s)=0 V(b)=0 80 biases V(s)=0 V(b)=0 88 biases V(s)=0 V(b)=0 96 biases V(s)=0 V(b)=0 104 biases V(s)=0 V(b)=0 112 biases V(s)=0 V(b)=0 120 biases V(s)=0 V(b)=0 128 biases V(s)=0 V(b)=0 136 biases V(s)=0 V(b)=0 [all …]
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/dports/astro/gpstk/GPSTk-8.0.0/core/lib/GNSSEph/ |
H A D | ClockSatStore.cpp | 98 biases.push_back(kt->second.bias); // sec in getValue() 122 slope = (biases[Nhi]-biases[Nlow]) / in getValue() 139 LagrangeInterpolation(times,biases,dt,rec.bias,rec.drift); in getValue() 143 rec.drift = (biases[Nhi]-biases[Nlow]) / in getValue() 218 vector<double> times,biases; in getClockBias() local 223 biases.push_back(kt->second.bias); // sec in getClockBias() 234 slope = (biases[Nhalf]-biases[Nhalf-1])/(times[Nhalf]-times[Nhalf-1]); in getClockBias() 269 vector<double> times,biases,drifts; in getClockDrift() local 279 biases.push_back(kt->second.bias); // sec in getClockDrift() 303 LagrangeInterpolation(times,biases,dt,slope,drift); in getClockDrift() [all …]
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/dports/biology/hhsuite/hh-suite-3.3.0/src/ |
H A D | hhhitlist-inl.h | 30 const float biases[] = { -0.73195, -1.43792, -1.18839, -3.01141 }; // bias for all hidden units in lamda_NN() local 37 lamda += calc_hidden_output(weights + inputs * h, biases + h, Lqnorm, in lamda_NN() 49 const float biases[] = { -4.25264, -3.63484, -5.86653, -4.78472, -2.76356, in mu_NN() local 59 mu += calc_hidden_output(weights + inputs * h, biases + h, Lqnorm, Ltnorm, in mu_NN() 71 const float biases[] = { 7.89636, 3.68944, 2.05448, 3.69149 }; // bias for all hidden units in alpha_NN() local 79 alpha += calc_hidden_output(weights + inputs * h, biases + h, Lqnorm, in alpha_NN() 92 const float biases[] = { 7.89636, 3.68944, 2.05448, 3.69149 }; // bias for all hidden units in beta_NN() local 100 beta += calc_hidden_output(weights + inputs * h, biases + h, Lqnorm, Ltnorm, in beta_NN()
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/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/tests/ |
H A D | test_yolov3detectionoutput.cpp | 20 ncnn::Mat& biases, ncnn::Mat& mask, ncnn::Mat& anchors_scale) in test_yolov3detectionoutput() argument 27 pd.set(4, biases); in test_yolov3detectionoutput() 64 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4() local 74 || test_yolov3detectionoutput(a, 80, 3, 0.55f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4() 83 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4tiny() local 92 || test_yolov3detectionoutput(a, 80, 3, 0.4f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4tiny() 101 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3() local 111 || test_yolov3detectionoutput(a, 80, 3, 0.6f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3() 120 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3tiny() local 129 || test_yolov3detectionoutput(a, 80, 3, 0.3f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3tiny()
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/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/tests/ |
H A D | test_yolov3detectionoutput.cpp | 20 ncnn::Mat& biases, ncnn::Mat& mask, ncnn::Mat& anchors_scale) in test_yolov3detectionoutput() argument 27 pd.set(4, biases); in test_yolov3detectionoutput() 64 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4() local 74 || test_yolov3detectionoutput(a, 80, 3, 0.55f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4() 83 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4tiny() local 92 || test_yolov3detectionoutput(a, 80, 3, 0.4f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4tiny() 101 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3() local 111 || test_yolov3detectionoutput(a, 80, 3, 0.6f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3() 120 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3tiny() local 129 || test_yolov3detectionoutput(a, 80, 3, 0.3f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3tiny()
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/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/tests/ |
H A D | test_yolov3detectionoutput.cpp | 20 ncnn::Mat& biases, ncnn::Mat& mask, ncnn::Mat& anchors_scale) in test_yolov3detectionoutput() argument 27 pd.set(4, biases); in test_yolov3detectionoutput() 64 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4() local 74 || test_yolov3detectionoutput(a, 80, 3, 0.55f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4() 83 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4tiny() local 92 || test_yolov3detectionoutput(a, 80, 3, 0.4f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4tiny() 101 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3() local 111 || test_yolov3detectionoutput(a, 80, 3, 0.6f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3() 120 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3tiny() local 129 || test_yolov3detectionoutput(a, 80, 3, 0.3f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3tiny()
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/dports/misc/ncnn/ncnn-20211208/tests/ |
H A D | test_yolov3detectionoutput.cpp | 20 ncnn::Mat& biases, ncnn::Mat& mask, ncnn::Mat& anchors_scale) in test_yolov3detectionoutput() argument 27 pd.set(4, biases); in test_yolov3detectionoutput() 64 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4() local 74 || test_yolov3detectionoutput(a, 80, 3, 0.55f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4() 83 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4tiny() local 92 || test_yolov3detectionoutput(a, 80, 3, 0.4f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4tiny() 101 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3() local 111 || test_yolov3detectionoutput(a, 80, 3, 0.6f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3() 120 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3tiny() local 129 || test_yolov3detectionoutput(a, 80, 3, 0.3f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3tiny()
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/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/tests/ |
H A D | test_yolov3detectionoutput.cpp | 20 ncnn::Mat& biases, ncnn::Mat& mask, ncnn::Mat& anchors_scale) in test_yolov3detectionoutput() argument 27 pd.set(4, biases); in test_yolov3detectionoutput() 64 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4() local 74 || test_yolov3detectionoutput(a, 80, 3, 0.55f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4() 83 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v4tiny() local 92 || test_yolov3detectionoutput(a, 80, 3, 0.4f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v4tiny() 101 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3() local 111 || test_yolov3detectionoutput(a, 80, 3, 0.6f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3() 120 ncnn::Mat biases = create_mat_from(b, sizeof(b) / sizeof(b[0])); in test_yolov3detectionoutput_v3tiny() local 129 || test_yolov3detectionoutput(a, 80, 3, 0.3f, 0.45f, biases, mask, anchors_scale); in test_yolov3detectionoutput_v3tiny()
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/dports/graphics/waifu2x-converter-cpp/waifu2x-converter-cpp-5.3.4/src/ |
H A D | filters.hpp | 48 const float *biases, 62 const float *biases, 76 const float *biases, 90 const float *biases, 104 const float *biases, 118 const float *biases, 132 const float *biases,
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/dports/www/chromium-legacy/chromium-88.0.4324.182/components/assist_ranker/ |
H A D | nn_classifier.cc | 18 const FloatVector& biases = layer.biases(); in FeedForward() local 21 const int num_nodes = biases.values().size(); in FeedForward() 27 vector<float> output(biases.values().begin(), biases.values().end()); in FeedForward() 53 const int num_nodes = layer.biases().values().size(); in ValidateLayer() 77 if (model.hidden_layer().biases().values().size() != in Validate()
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/dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/components/assist_ranker/ |
H A D | nn_classifier.cc | 18 const FloatVector& biases = layer.biases(); in FeedForward() local 21 const int num_nodes = biases.values().size(); in FeedForward() 27 vector<float> output(biases.values().begin(), biases.values().end()); in FeedForward() 53 const int num_nodes = layer.biases().values().size(); in ValidateLayer() 77 if (model.hidden_layer().biases().values().size() != in Validate()
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/dports/biology/freebayes/freebayes-1.3.5/src/ |
H A D | Bias.cpp | 32 biases.push_back(dbias); in open() 38 if (biases.empty()) return 1; // no bias in bias() 40 return biases.front(); in bias() 42 return biases.back(); in bias() 44 return biases.at(length - minLength); in bias() 49 return biases.empty(); in empty()
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/dports/misc/opennn/opennn-5.0.5/tests/ |
H A D | recurrent_layer_test.cpp | 32 Tensor<type, 1> biases; in test_constructor() local 148 Tensor<type, 2> biases(1, neurons_number); in test_get_biases() local 152 biases.setConstant(1); in test_get_biases() 153 recurrent_layer.set_biases(biases); in test_get_biases() 155 assert_true(biases(0) == recurrent_layer.get_biases()(0), LOG); in test_get_biases() 156 assert_true(biases(1) == recurrent_layer.get_biases()(1), LOG); in test_get_biases() 158 assert_true(biases(0) == 1, LOG); in test_get_biases() 274 Tensor<type, 2> biases(1,2); in test_get_parameters() local 279 biases(0,0) = 0.41; in test_get_parameters() 280 biases(0,1) = -0.70; in test_get_parameters() [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/bsim3/nmos/ |
H A D | qaSpec | 48 biases V(s)=0 V(b)=0 56 biases V(s)=0 V(b)=-0.2 64 biases V(s)=0 V(b)=0 72 biases V(s)=0 V(b)=0 80 biases V(s)=0 V(b)=0 88 biases V(s)=0 V(b)=0 97 biases V(s)=0 V(b)=0 V(g)=1.8 105 biases V(s)=0 V(b)=0 V(d)=1.8 V(g)=1.8 113 biases V(s)=0 V(b)=0 V(d)=1.8 V(g)=1.8 149 biases V(s)=0 V(b)=0 V(d)=1.6 [all …]
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/dports/cad/ngspice_rework/ngspice-35/tests/bsim3/pmos/ |
H A D | qaSpec | 48 biases V(s)=0 V(b)=0 56 biases V(s)=0 V(b)=-0.2 64 biases V(s)=0 V(b)=0 72 biases V(s)=0 V(b)=0 80 biases V(s)=0 V(b)=0 88 biases V(s)=0 V(b)=0 97 biases V(s)=0 V(b)=0 V(g)=1.8 105 biases V(s)=0 V(b)=0 V(d)=1.8 V(g)=1.8 113 biases V(s)=0 V(b)=0 V(d)=1.8 V(g)=1.8 149 biases V(s)=0 V(b)=0 V(d)=1.6 [all …]
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/dports/misc/opennn/opennn-5.0.5/opennn/ |
H A D | perceptron_layer.cpp | 65 return biases.size(); in get_neurons_number() 71 return biases.size(); in get_biases_number() 96 return biases; in get_biases() 254 biases.resize(0, 0); in set() 312 biases.resize(1,neurons_number); in set_inputs_number() 337 biases = new_biases; in set_biases() 375 memcpy(biases.data(), in set_parameters() 473 biases.setConstant(value); in set_biases_constant() 503 biases.setZero(); in set_synaptic_weights_glorot() 520 biases.setConstant(value); in set_parameters_constant() [all …]
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