| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/testing/ |
| H A D | vgg.py | 28 def get_feature(internal_layer, layers, filters, batch_norm=False): argument
64 def get_net(batch_size, image_shape, num_classes, dtype, num_layers=11, batch_norm=False): argument
110 batch_norm=False, argument
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| /dports/misc/tvm/incubator-tvm-0.6.1/python/tvm/relay/testing/ |
| H A D | vgg.py | 28 def get_feature(internal_layer, layers, filters, batch_norm=False): argument
59 def get_net(batch_size, image_shape, num_classes, dtype, num_layers=11, batch_norm=False): argument
102 batch_norm=False): argument
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/python/tvm/relay/testing/ |
| H A D | vgg.py | 28 def get_feature(internal_layer, layers, filters, batch_norm=False): argument
59 def get_net(batch_size, image_shape, num_classes, dtype, num_layers=11, batch_norm=False): argument
102 batch_norm=False): argument
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| /dports/misc/tvm/incubator-tvm-0.6.1/tests/python/frontend/mxnet/model_zoo/ |
| H A D | vgg.py | 27 def get_feature(internel_layer, layers, filters, batch_norm = False, **kwargs): argument
57 def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): argument
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/frontend/mxnet/model_zoo/ |
| H A D | vgg.py | 28 def get_feature(internel_layer, layers, filters, batch_norm=False, **kwargs): argument
76 def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype="float32", **kwargs): argument
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/image-classification/symbols/ |
| H A D | vgg.py | 27 def get_feature(internel_layer, layers, filters, batch_norm = False, **kwargs): argument
48 def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): argument
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/tests/python/frontend/mxnet/model_zoo/ |
| H A D | vgg.py | 27 def get_feature(internel_layer, layers, filters, batch_norm = False, **kwargs): argument
57 def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): argument
|
| /dports/misc/tvm/incubator-tvm-0.6.1/nnvm/tests/python/frontend/mxnet/model_zoo/ |
| H A D | vgg.py | 27 def get_feature(internel_layer, layers, filters, batch_norm = False, **kwargs): argument
57 def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): argument
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/image-classification/symbols/ |
| H A D | vgg.py | 27 def get_feature(internel_layer, layers, filters, batch_norm = False, **kwargs): argument
48 def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): argument
|
| /dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/tests/python/frontend/mxnet/model_zoo/ |
| H A D | vgg.py | 27 def get_feature(internel_layer, layers, filters, batch_norm = False, **kwargs): argument
57 def get_symbol(num_classes, num_layers=11, batch_norm=False, dtype='float32', **kwargs): argument
|
| /dports/misc/tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/testing/ |
| H A D | vgg.py | 26 def get_feature(internel_layer, layers, filters, batch_norm=False): argument
53 def get_symbol(num_classes, num_layers=11, batch_norm=False): argument
|
| /dports/misc/py-tvm/incubator-tvm-0.6.1/nnvm/python/nnvm/testing/ |
| H A D | vgg.py | 26 def get_feature(internel_layer, layers, filters, batch_norm=False): argument
53 def get_symbol(num_classes, num_layers=11, batch_norm=False): argument
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/example/rnn/old/ |
| H A D | rnn.py | 34 def rnn(num_hidden, in_data, prev_state, param, seqidx, layeridx, dropout=0., batch_norm=False): argument
57 num_hidden, num_embed, num_label, dropout=0., batch_norm=False): argument
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/rnn/old/ |
| H A D | rnn.py | 34 def rnn(num_hidden, in_data, prev_state, param, seqidx, layeridx, dropout=0., batch_norm=False): argument
57 num_hidden, num_embed, num_label, dropout=0., batch_norm=False): argument
|
| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/ |
| H A D | vgg.py | 48 def __init__(self, layers, filters, classes=1000, batch_norm=False, **kwargs): argument
65 def _make_features(self, layers, filters, batch_norm): argument
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/ |
| H A D | vgg.py | 50 def __init__(self, layers, filters, classes=1000, batch_norm=False, **kwargs): argument
67 def _make_features(self, layers, filters, batch_norm): argument
|
| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/gluon/model_zoo/vision/ |
| H A D | vgg.py | 50 def __init__(self, layers, filters, classes=1000, batch_norm=False, **kwargs): argument
67 def _make_features(self, layers, filters, batch_norm): argument
|
| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/model_zoo/ssd/ |
| H A D | vgg_atrous.py | 53 def __init__(self, layers, filters, batch_norm=False, **kwargs): argument
111 def __init__(self, layers, filters, extras, batch_norm=False, **kwargs): argument
|
| /dports/misc/tvm/incubator-tvm-0.6.1/src/relay/pass/ |
| H A D | simplify_inference.cc | 132 static const Op& batch_norm = Op::Get("nn.batch_norm"); in VisitExpr_() local
152 static const Op& batch_norm = Op::Get("nn.batch_norm"); in VisitExpr_() local
|
| /dports/misc/py-tvm/incubator-tvm-0.6.1/src/relay/pass/ |
| H A D | simplify_inference.cc | 132 static const Op& batch_norm = Op::Get("nn.batch_norm"); in VisitExpr_() local
152 static const Op& batch_norm = Op::Get("nn.batch_norm"); in VisitExpr_() local
|
| /dports/math/py-flax/flax-0.3.3/flax/core/nn/ |
| H A D | normalization.py | 27 def batch_norm(scope: Scope, function
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| /dports/misc/py-gluoncv/gluon-cv-0.9.0/gluoncv/auto/estimators/image_classification/ |
| H A D | default.py | 12 batch_norm : bool = False variable in ImageClassification
|
| /dports/graphics/opencv/opencv-4.5.3/modules/dnn/misc/ |
| H A D | quantize_face_detector.py | 65 def batch_norm(x, name): function
|
| /dports/games/leela-zero/leela-zero-0.17/training/tf/ |
| H A D | tfprocess.py | 537 def batch_norm(self, net): member in TFProcess
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/relay/ |
| H A D | test_pass_partition_graph.py | 1074 def batch_norm(attrs, args): # pylint: disable=unused-variable function
|