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/dports/science/nest/nest-simulator-3.1/testsuite/pytests/test_sp/
H A Dtest_growth_curves.py117 self.growth_rate = growth_rate
155 self.growth_rate = growth_rate
198 self.growth_rate = growth_rate
243 self.growth_rate = growth_rate
340 growth_rate = 0.0001
358 tau_ca=tau_ca, beta_ca=beta_ca, eps=eps, growth_rate=growth_rate))
360 tau_ca=tau_ca, beta_ca=beta_ca, eps=eps, growth_rate=growth_rate))
381 growth_rate = 0.0001
400 eta=eta, eps=eps, growth_rate=growth_rate))
420 growth_rate = 0.0001
[all …]
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/testing/
H A Ddensenet.py29 def _make_dense_layer(data, growth_rate, bn_size, index): argument
34 relu1, channels=bn_size * growth_rate, kernel_size=(1, 1), name="conv2d_1_%s" % index
39 relu2, channels=growth_rate, kernel_size=(3, 3), padding=(1, 1), name="conv2d_2_%s" % index
44 def _make_dense_block(data, num_layers, bn_size, growth_rate, index): argument
48 layer_out = _make_dense_layer(layer_out, growth_rate, bn_size, "%s_%s" % (index, i))
63 num_init_features, growth_rate, block_config, data_shape, data_dtype, bn_size=4, classes=1000 argument
82 layer_out = _make_dense_block(layer_out, num_layers, growth_rate, bn_size, i)
83 num_features = num_features + num_layers * growth_rate
135 num_init_features, growth_rate, block_config = specs[densenet_size]
138 num_init_features, growth_rate, block_config, data_shape, dtype, batch_size, classes
/dports/misc/tvm/incubator-tvm-0.6.1/python/tvm/relay/testing/
H A Ddensenet.py28 def _make_dense_layer(data, growth_rate, bn_size, index): argument
32 conv1 = layers.conv2d(relu1, channels=bn_size * growth_rate,
36 conv2 = layers.conv2d(relu2, channels=growth_rate, kernel_size=(3, 3),
40 def _make_dense_block(data, num_layers, bn_size, growth_rate, index): argument
44 layer_out = _make_dense_layer(layer_out, growth_rate, bn_size,
56 def _make_dense_net(num_init_features, growth_rate, block_config, argument
70 layer_out = _make_dense_block(layer_out, num_layers, growth_rate, bn_size, i)
71 num_features = num_features + num_layers*growth_rate
119 num_init_features, growth_rate, block_config = specs[densenet_size]
121 net = _make_dense_net(num_init_features, growth_rate, block_config,
/dports/misc/py-tvm/incubator-tvm-0.6.1/python/tvm/relay/testing/
H A Ddensenet.py28 def _make_dense_layer(data, growth_rate, bn_size, index): argument
32 conv1 = layers.conv2d(relu1, channels=bn_size * growth_rate,
36 conv2 = layers.conv2d(relu2, channels=growth_rate, kernel_size=(3, 3),
40 def _make_dense_block(data, num_layers, bn_size, growth_rate, index): argument
44 layer_out = _make_dense_layer(layer_out, growth_rate, bn_size,
56 def _make_dense_net(num_init_features, growth_rate, block_config, argument
70 layer_out = _make_dense_block(layer_out, num_layers, growth_rate, bn_size, i)
71 num_features = num_features + num_layers*growth_rate
119 num_init_features, growth_rate, block_config = specs[densenet_size]
121 net = _make_dense_net(num_init_features, growth_rate, block_config,
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/
H A Ddensenet.py32 def _make_dense_block(num_layers, bn_size, growth_rate, dropout, stage_index): argument
36 out.add(_make_dense_layer(growth_rate, bn_size, dropout))
39 def _make_dense_layer(growth_rate, bn_size, dropout): argument
43 new_features.add(nn.Conv2D(bn_size * growth_rate, kernel_size=1, use_bias=False))
46 new_features.add(nn.Conv2D(growth_rate, kernel_size=3, padding=1, use_bias=False))
85 def __init__(self, num_init_features, growth_rate, block_config, argument
99 self.features.add(_make_dense_block(num_layers, bn_size, growth_rate, dropout, i+1))
100 num_features = num_features + num_layers * growth_rate
141 num_init_features, growth_rate, block_config = densenet_spec[num_layers]
142 net = DenseNet(num_init_features, growth_rate, block_config, **kwargs)
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/
H A Ddensenet.py32 def _make_dense_block(num_layers, bn_size, growth_rate, dropout, stage_index): argument
36 out.add(_make_dense_layer(growth_rate, bn_size, dropout))
39 def _make_dense_layer(growth_rate, bn_size, dropout): argument
43 new_features.add(nn.Conv2D(bn_size * growth_rate, kernel_size=1, use_bias=False))
46 new_features.add(nn.Conv2D(growth_rate, kernel_size=3, padding=1, use_bias=False))
85 def __init__(self, num_init_features, growth_rate, block_config, argument
99 self.features.add(_make_dense_block(num_layers, bn_size, growth_rate, dropout, i+1))
100 num_features = num_features + num_layers * growth_rate
141 num_init_features, growth_rate, block_config = densenet_spec[num_layers]
142 net = DenseNet(num_init_features, growth_rate, block_config, **kwargs)
/dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/
H A Ddensenet.py30 def _make_dense_block(num_layers, bn_size, growth_rate, dropout, stage_index, argument
35 out.add(_make_dense_layer(growth_rate, bn_size, dropout, norm_layer, norm_kwargs))
38 def _make_dense_layer(growth_rate, bn_size, dropout, norm_layer, norm_kwargs): argument
42 new_features.add(nn.Conv2D(bn_size * growth_rate, kernel_size=1, use_bias=False))
45 new_features.add(nn.Conv2D(growth_rate, kernel_size=3, padding=1, use_bias=False))
90 def __init__(self, num_init_features, growth_rate, block_config, argument
105 num_layers, bn_size, growth_rate, dropout, i+1, norm_layer, norm_kwargs))
106 num_features = num_features + num_layers * growth_rate
154 num_init_features, growth_rate, block_config = densenet_spec[num_layers]
155 net = DenseNet(num_init_features, growth_rate, block_config, **kwargs)
/dports/misc/mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet-Gluon-ModelZoo/lib/AI/MXNet/Gluon/ModelZoo/Vision/
H A DDenseNet.pm26 func _make_dense_block($num_layers, $bn_size, $growth_rate, $dropout, $stage_index)
32 $out->add(_make_dense_layer($growth_rate, $bn_size, $dropout));
38 func _make_dense_layer($growth_rate, $bn_size, $dropout)
43 $new_features->add(nn->Conv2D($bn_size * $growth_rate, kernel_size=>1, use_bias=>0));
46 $new_features->add(nn->Conv2D($growth_rate, kernel_size=>3, padding=>1, use_bias=>0));
121 …$self->features->add(_make_dense_block($num_layers, $self->bn_size, $self->growth_rate, $self->dro…
122 $num_features += $num_layers * $self->growth_rate;
179 my ($num_init_features, $growth_rate, $block_config) = @{ $densenet_spec{$num_layers} };
181 $num_init_features, $growth_rate, $block_config,
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet-Gluon-ModelZoo/lib/AI/MXNet/Gluon/ModelZoo/Vision/
H A DDenseNet.pm26 func _make_dense_block($num_layers, $bn_size, $growth_rate, $dropout, $stage_index)
32 $out->add(_make_dense_layer($growth_rate, $bn_size, $dropout));
38 func _make_dense_layer($growth_rate, $bn_size, $dropout)
43 $new_features->add(nn->Conv2D($bn_size * $growth_rate, kernel_size=>1, use_bias=>0));
46 $new_features->add(nn->Conv2D($growth_rate, kernel_size=>3, padding=>1, use_bias=>0));
121 …$self->features->add(_make_dense_block($num_layers, $self->bn_size, $self->growth_rate, $self->dro…
122 $num_features += $num_layers * $self->growth_rate;
179 my ($num_init_features, $growth_rate, $block_config) = @{ $densenet_spec{$num_layers} };
181 $num_init_features, $growth_rate, $block_config,
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/
H A DNonDSparseGrid.cpp89 short growth_rate; in NonDSparseGrid() local
96 growth_rate = Pecos::UNRESTRICTED_GROWTH; in NonDSparseGrid()
107 growth_rate = Pecos::MODERATE_RESTRICTED_GROWTH; in NonDSparseGrid()
114 growth_rate, track_colloc, track_uniq_prod_wts); in NonDSparseGrid()
121 growth_rate, track_uniq_prod_wts); in NonDSparseGrid()
128 growth_rate, track_colloc); in NonDSparseGrid()
134 growth_rate); in NonDSparseGrid()
147 short driver_mode, short growth_rate, short refine_control, in NonDSparseGrid() argument
162 ssgDriver->growth_rate(growth_rate); in NonDSparseGrid()
/dports/science/nest/nest-simulator-3.1/nestkernel/
H A Dgrowth_curve.cpp71 double growth_rate ) const in update()
74 …const double z_value = growth_rate * tau_Ca * ( Ca - Ca_minus ) / eps_ + growth_rate * ( t - t_min… in update()
111 double growth_rate ) const in update()
125 const double dz = h * growth_rate * ( 2.0 * exp( -pow( ( Ca - xi ) / zeta, 2 ) ) - 1.0 ); in update()
170 double growth_rate ) const in update()
182 const double dz = h * growth_rate * ( ( 2.0 / ( 1.0 + exp( ( Ca - eps_ ) / psi_ ) ) ) - 1.0 ); in update()
H A Dgrowth_curve.h57 …update( double t, double t_minus, double Ca_minus, double z, double tau_Ca, double growth_rate ) c…
136 …te( double t, double t_minus, double Ca_minus, double z, double tau_Ca, double growth_rate ) const;
223 …te( double t, double t_minus, double Ca_minus, double z, double tau_Ca, double growth_rate ) const;
295 …te( double t, double t_minus, double Ca_minus, double z, double tau_Ca, double growth_rate ) const;
H A Dsynaptic_element.cpp101 def< double >( d, names::growth_rate, growth_rate_ ); in get()
120 updateValue< double >( d, names::growth_rate, growth_rate_ ); in set()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/pecos/src/
H A DSparseGridDriver.hpp45 short growth_rate, short refine_control);
150 short growth_rate = MODERATE_RESTRICTED_GROWTH);
204 void growth_rate(short growth_rate);
206 short growth_rate() const;
316 short growth_rate, short refine_control): in SparseGridDriver() argument
317 IntegrationDriver(BaseConstructor()), growthRate(growth_rate), in SparseGridDriver()
440 inline void SparseGridDriver::growth_rate(short growth_rate) in growth_rate() function in Pecos::SparseGridDriver
441 { growthRate = growth_rate; } in growth_rate()
444 inline short SparseGridDriver::growth_rate() const in growth_rate() function in Pecos::SparseGridDriver
H A DLightweightSparseGridDriver.hpp42 short growth_rate = MODERATE_RESTRICTED_GROWTH,
97 short growth_rate, short refine_control): in LightweightSparseGridDriver() argument
98 SparseGridDriver(ssg_level, dim_pref, growth_rate, refine_control) in LightweightSparseGridDriver()
H A DCombinedSparseGridDriver.hpp52 short growth_rate = MODERATE_RESTRICTED_GROWTH,
102 short growth_rate = MODERATE_RESTRICTED_GROWTH, bool track_colloc = false,
390 short growth_rate, short refine_control): in CombinedSparseGridDriver() argument
391 SparseGridDriver(ssg_level, dim_pref, growth_rate, refine_control), in CombinedSparseGridDriver()
/dports/biology/scrm/scrm-1.7.4/tests/unittests/
H A Dtest_param.cc173 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate(0) ); in testParseCommonOptions()
174 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate(1) ); in testParseCommonOptions()
175 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate(2) ); in testParseCommonOptions()
185 CPPUNIT_ASSERT( areSame(1.5 / 4 / model.default_pop_size(), model.growth_rate(0)) ); in testParseCommonOptions()
197 CPPUNIT_ASSERT_EQUAL( 2.0 / 4 / model.default_pop_size() , model.growth_rate(0) ); in testParseCommonOptions()
198 CPPUNIT_ASSERT_EQUAL( 2.0 / 4 / model.default_pop_size(), model.growth_rate(1) ); in testParseCommonOptions()
199 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate(2) ); in testParseCommonOptions()
266 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate(2) ); in testParseMergeOptions()
278 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate() ); in testParseMergeOptions()
350 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate(0) ); in testParseGrowthOptions()
[all …]
H A Dtest_model.cc274 CPPUNIT_ASSERT( model.growth_rate(0) == 0 ); in testDebugConstructor()
361 CPPUNIT_ASSERT_EQUAL( 0.0, model.growth_rate(0) ); in testGetters()
364 CPPUNIT_ASSERT_EQUAL( 1.5, model.growth_rate(0) ); in testGetters()
367 CPPUNIT_ASSERT_EQUAL( 1.5, model.growth_rate(0) ); in testGetters()
371 CPPUNIT_ASSERT_EQUAL( 1.0, model.growth_rate(0) ); in testGetters()
375 CPPUNIT_ASSERT_EQUAL( 1.0, model.growth_rate(0) ); in testGetters()
/dports/graphics/py-urbansim/urbansim-3.2/urbansim/models/
H A Dtransition.py163 def __init__(self, growth_rate, accounting_column=None): argument
164 self.growth_rate = growth_rate
194 nrows = int(round(len(data) * self.growth_rate))
196 nrows = int(round(data[self.accounting_column].sum() * self.growth_rate))
199 nrows, self.growth_rate),
246 def _calc_nrows(self, len_data, growth_rate): argument
259 return int(round(len_data * growth_rate))
/dports/math/cvc4/CVC4-1.7/test/regress/regress0/tptp/
H A DMGT019+2.p48 => greater(growth_rate(efficient_producers,T),growth_rate(first_movers,T)) ) )).
82 => greater(growth_rate(efficient_producers,T),growth_rate(first_movers,T)) ) ) ) )).
/dports/games/openttd/openttd-12.1/src/script/api/
H A Dscript_town.cpp162 uint16 growth_rate; in SetGrowthRate() local
165 growth_rate = 0; in SetGrowthRate()
169 growth_rate = TOWN_GROWTH_RATE_NONE; in SetGrowthRate()
175 growth_rate = std::max(days_between_town_growth * DAY_TICKS, 2u) - 1; in SetGrowthRate()
179 …return ScriptObject::DoCommand(::Town::Get(town_id)->xy, town_id, growth_rate, CMD_TOWN_GROWTH_RAT… in SetGrowthRate()
188 if (t->growth_rate == TOWN_GROWTH_RATE_NONE) return TOWN_GROWTH_NONE; in GetGrowthRate()
190 return RoundDivSU(t->growth_rate + 1, DAY_TICKS); in GetGrowthRate()
/dports/biology/scrm/scrm-1.7.4/src/
H A Dmodel.cc299 void Model::addGrowthRates(const double time, const double growth_rate, in addGrowthRates() argument
301 …addGrowthRates(time, std::vector<double>(population_number(), growth_rate), time_scaled, rate_scal… in addGrowthRates()
319 double growth_rate, const bool &time_scaled, const bool &rate_scaled) { in addGrowthRate() argument
322 if (rate_scaled) growth_rate *= scaling_factor(); in addGrowthRate()
324 growth_rates_list_.at(position).at(population) = growth_rate; in addGrowthRate()
479 os << std::setw(10) << std::right << model.growth_rate(pop); in operator <<()
H A Dmodel.h140 double growth_rate(size_t pop = 0) const {
172 if (time >= 0 && growth_rate(pop) != 0.0) {
174 pop_size *= std::exp(growth_rate(pop) * (time - getCurrentTime()));
/dports/math/py-keras-applications/keras-applications-1.0.8/keras_applications/
H A Ddensenet.py93 def conv_block(x, growth_rate, name): argument
109 x1 = layers.Conv2D(4 * growth_rate, 1,
115 x1 = layers.Conv2D(growth_rate, 3,
/dports/games/openttd/openttd-12.1/src/saveload/
H A Dtown_sl.cpp255 SLE_CONDVAR(Town, growth_rate, SLE_FILE_U8 | SLE_VAR_I16, SL_MIN_VERSION, SLV_54),
256 SLE_CONDVAR(Town, growth_rate, SLE_FILE_I16 | SLE_VAR_U16, SLV_54, SLV_165),
257 SLE_CONDVAR(Town, growth_rate, SLE_UINT16, SLV_165, SL_MAX_VERSION),

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