/dports/misc/mmdnn/MMdnn-0.3.1/mmdnn/conversion/darknet/ |
H A D | darknet_graph.py | 190 pooling_param = OrderedDict() 191 pooling_param['kernel_size'] = int(block['size']) 192 pooling_param['stride'] = int(block['stride']) 193 pooling_param['pool'] = 'MAX' 194 pooling_param['padding'] = 0 201 output_w = (w + 2*pooling_param['padding'])/pooling_param['stride'] 202 output_h = (h + 2*pooling_param['padding'])/pooling_param['stride'] 205 max_layer['attr'] = pooling_param 220 pooling_param = OrderedDict() 223 pooling_param['pool'] = 'AVG' [all …]
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/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/tools/caffe/ |
H A D | caffe2ncnn.cpp | 781 const caffe::PoolingParameter& pooling_param = layer.pooling_param(); in main() local 782 fprintf(pp, " 0=%d", pooling_param.pool()); in main() 783 if (pooling_param.has_kernel_w() && pooling_param.has_kernel_h()) in main() 785 fprintf(pp, " 1=%d", pooling_param.kernel_w()); in main() 792 if (pooling_param.has_stride_w() && pooling_param.has_stride_h()) in main() 799 fprintf(pp, " 2=%d", pooling_param.stride()); in main() 801 if (pooling_param.has_pad_w() && pooling_param.has_pad_h()) in main() 803 fprintf(pp, " 3=%d", pooling_param.pad_w()); in main() 804 fprintf(pp, " 13=%d", pooling_param.pad_h()); in main() 808 fprintf(pp, " 3=%d", pooling_param.pad()); in main() [all …]
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/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/tools/caffe/ |
H A D | caffe2ncnn.cpp | 781 const caffe::PoolingParameter& pooling_param = layer.pooling_param(); in main() local 782 fprintf(pp, " 0=%d", pooling_param.pool()); in main() 783 if (pooling_param.has_kernel_w() && pooling_param.has_kernel_h()) in main() 785 fprintf(pp, " 1=%d", pooling_param.kernel_w()); in main() 792 if (pooling_param.has_stride_w() && pooling_param.has_stride_h()) in main() 799 fprintf(pp, " 2=%d", pooling_param.stride()); in main() 801 if (pooling_param.has_pad_w() && pooling_param.has_pad_h()) in main() 803 fprintf(pp, " 3=%d", pooling_param.pad_w()); in main() 804 fprintf(pp, " 13=%d", pooling_param.pad_h()); in main() 808 fprintf(pp, " 3=%d", pooling_param.pad()); in main() [all …]
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/dports/misc/ncnn/ncnn-20211208/tools/caffe/ |
H A D | caffe2ncnn.cpp | 781 const caffe::PoolingParameter& pooling_param = layer.pooling_param(); in main() local 782 fprintf(pp, " 0=%d", pooling_param.pool()); in main() 783 if (pooling_param.has_kernel_w() && pooling_param.has_kernel_h()) in main() 785 fprintf(pp, " 1=%d", pooling_param.kernel_w()); in main() 792 if (pooling_param.has_stride_w() && pooling_param.has_stride_h()) in main() 799 fprintf(pp, " 2=%d", pooling_param.stride()); in main() 801 if (pooling_param.has_pad_w() && pooling_param.has_pad_h()) in main() 803 fprintf(pp, " 3=%d", pooling_param.pad_w()); in main() 804 fprintf(pp, " 13=%d", pooling_param.pad_h()); in main() 808 fprintf(pp, " 3=%d", pooling_param.pad()); in main() [all …]
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/dports/science/py-chainer/chainer-7.8.0/chainer/exporters/ |
H A D | caffe.py | 212 pooling_param = { 222 params['pooling_param'] = pooling_param 224 for k, v in six.iteritems(pooling_param): 225 setattr(layer.pooling_param, k, v) 231 pooling_param = { 241 params['pooling_param'] = pooling_param 243 for k, v in six.iteritems(pooling_param): 244 setattr(layer.pooling_param, k, v)
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/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/tools/caffe/ |
H A D | caffe2ncnn.cpp | 1333 const caffe::PoolingParameter& pooling_param = layer.pooling_param(); in main() local 1334 fprintf(pp, " 0=%d", pooling_param.pool()); in main() 1335 if (pooling_param.has_kernel_w() && pooling_param.has_kernel_h()) in main() 1337 fprintf(pp, " 1=%d", pooling_param.kernel_w()); in main() 1344 if (pooling_param.has_stride_w() && pooling_param.has_stride_h()) in main() 1351 fprintf(pp, " 2=%d", pooling_param.stride()); in main() 1353 if (pooling_param.has_pad_w() && pooling_param.has_pad_h()) in main() 1355 fprintf(pp, " 3=%d", pooling_param.pad_w()); in main() 1356 fprintf(pp, " 13=%d", pooling_param.pad_h()); in main() 1360 fprintf(pp, " 3=%d", pooling_param.pad()); in main() [all …]
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/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/tools/caffe/ |
H A D | caffe2ncnn.cpp | 1333 const caffe::PoolingParameter& pooling_param = layer.pooling_param(); in main() local 1334 fprintf(pp, " 0=%d", pooling_param.pool()); in main() 1335 if (pooling_param.has_kernel_w() && pooling_param.has_kernel_h()) in main() 1337 fprintf(pp, " 1=%d", pooling_param.kernel_w()); in main() 1344 if (pooling_param.has_stride_w() && pooling_param.has_stride_h()) in main() 1351 fprintf(pp, " 2=%d", pooling_param.stride()); in main() 1353 if (pooling_param.has_pad_w() && pooling_param.has_pad_h()) in main() 1355 fprintf(pp, " 3=%d", pooling_param.pad_w()); in main() 1356 fprintf(pp, " 13=%d", pooling_param.pad_h()); in main() 1360 fprintf(pp, " 3=%d", pooling_param.pad()); in main() [all …]
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/dports/graphics/opencv/opencv-4.5.3/contrib/modules/cnn_3dobj/testdata/cv/ |
H A D | 3d_triplet_testIMG.prototxt | 23 pooling_param { 51 pooling_param {
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/dports/graphics/opencv/opencv-4.5.3/contrib/modules/dnns_easily_fooled/model/ |
H A D | imagenet_deploy_image_memory_data.prototxt | 40 pooling_param { 80 pooling_param { 155 pooling_param {
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/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/model_zoo/cifar10/ |
H A D | train_val.prototxt | 71 pooling_param { 130 pooling_param { 180 pooling_param {
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/ssd/tools/caffe_converter/ |
H A D | caffe_proto_utils.py | 82 self.filter = [layer_def.pooling_param.kernel_size] 85 self.pad = [layer_def.pooling_param.pad] 90 self.stride = [layer_def.pooling_param.stride]
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/tools/caffe_converter/ |
H A D | caffe_proto_utils.py | 82 self.filter = [layer_def.pooling_param.kernel_size] 85 self.pad = [layer_def.pooling_param.pad] 90 self.stride = [layer_def.pooling_param.stride]
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/ssd/tools/caffe_converter/ |
H A D | caffe_proto_utils.py | 82 self.filter = [layer_def.pooling_param.kernel_size] 85 self.pad = [layer_def.pooling_param.pad] 90 self.stride = [layer_def.pooling_param.stride]
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/dports/misc/mxnet/incubator-mxnet-1.9.0/tools/caffe_converter/ |
H A D | caffe_proto_utils.py | 82 self.filter = [layer_def.pooling_param.kernel_size] 85 self.pad = [layer_def.pooling_param.pad] 90 self.stride = [layer_def.pooling_param.stride]
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/dports/graphics/opencv/opencv-4.5.3/contrib/modules/dnns_easily_fooled/model/lenet/ |
H A D | lenet_image_memory_data.prototxt | 42 pooling_param { 72 pooling_param {
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/dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/model_zoo/googlenet/v1/ |
H A D | train_val_sf1k.prototxt | 87 pooling_param { 170 pooling_param { 359 pooling_param { 596 pooling_param { 656 pooling_param { 845 pooling_param { 905 pooling_param {
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H A D | train_val_flat.prototxt | 87 pooling_param { 170 pooling_param { 359 pooling_param { 596 pooling_param { 656 pooling_param { 845 pooling_param { 905 pooling_param { 1227 pooling_param { 1464 pooling_param { 1701 pooling_param { [all …]
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H A D | train_val_flat_1024.prototxt | 87 pooling_param { 170 pooling_param { 359 pooling_param { 596 pooling_param { 656 pooling_param { 845 pooling_param { 905 # pooling_param { 1228 pooling_param { 1465 pooling_param { 1702 pooling_param { [all …]
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H A D | train_val_flat_full_1024.prototxt | 87 pooling_param { 170 pooling_param { 359 pooling_param { 596 pooling_param { 656 pooling_param { 845 pooling_param { 905 pooling_param { 1228 pooling_param { 1465 pooling_param { 1702 pooling_param { [all …]
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H A D | xsmm_tvf_256.prototxt | 87 pooling_param { 170 pooling_param { 359 pooling_param { 596 pooling_param { 656 pooling_param { 845 pooling_param { 905 # pooling_param { 1228 pooling_param { 1465 pooling_param { 1702 pooling_param { [all …]
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H A D | train_val_f1k_lrn.prototxt | 87 pooling_param { 194 pooling_param { 383 pooling_param { 620 pooling_param { 680 pooling_param { 869 pooling_param { 929 # pooling_param { 1252 pooling_param { 1489 pooling_param { 1726 pooling_param { [all …]
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H A D | train_val_lmdb.prototxt | 85 pooling_param { 168 pooling_param { 357 pooling_param { 594 pooling_param { 654 pooling_param { 843 pooling_param { 903 # pooling_param { 1226 pooling_param { 1463 pooling_param { 1700 pooling_param { [all …]
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H A D | xsmm_tvf_1024.prototxt | 87 pooling_param { 170 pooling_param { 359 pooling_param { 596 pooling_param { 656 pooling_param { 845 pooling_param { 905 # pooling_param { 1228 pooling_param { 1465 pooling_param { 1702 pooling_param { [all …]
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H A D | xsmm_tvf_test_1024.prototxt | 87 pooling_param { 170 pooling_param { 359 pooling_param { 596 pooling_param { 656 pooling_param { 845 pooling_param { 905 # pooling_param { 1228 pooling_param { 1465 pooling_param { 1702 pooling_param { [all …]
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/subgraph/tensorrt/ |
H A D | nnvm_to_onnx.cc | 355 const auto& pooling_param = nnvm::get<op::PoolingParam>(attrs.parsed); in ConvertPooling() local 357 const mxnet::TShape kernel = pooling_param.kernel; in ConvertPooling() 358 const mxnet::TShape stride = pooling_param.stride; in ConvertPooling() 359 const mxnet::TShape pad = pooling_param.pad; in ConvertPooling() 360 const int pool_type = pooling_param.pool_type; in ConvertPooling() 361 const bool global_pool = pooling_param.global_pool; in ConvertPooling() 407 ceil_mode->set_i(static_cast<int64>(pooling_param.pooling_convention == pool_enum::kFull)); in ConvertPooling() 421 if (pooling_param.count_include_pad.has_value()) { in ConvertPooling() 422 count_include_pad->set_i(pooling_param.count_include_pad.value()); in ConvertPooling()
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