| /third_party/mindspore/tests/st/tbe_networks/ |
| D | resnet.py | 32 def conv3x3(in_channels, out_channels, stride=1, padding=0): argument
39 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
46 def conv7x7(in_channels, out_channels, stride=1, padding=0): argument
53 def bn_with_initialize(out_channels): argument
63 def bn_with_initialize_last(out_channels): argument
73 def fc_with_initialize(input_channels, out_channels): argument
82 out_channels, argument
124 out_channels, argument
171 def __init__(self, block, in_channels, out_channels, stride): argument
187 def __init__(self, block, in_channels, out_channels, stride): argument
[all …]
|
| /third_party/mindspore/tests/st/mem_reuse/ |
| D | resnet.py | 42 def conv3x3(in_channels, out_channels, stride=1, padding=0): argument
50 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
58 def conv7x7(in_channels, out_channels, stride=1, padding=0): argument
66 def bn_with_initialize(out_channels): argument
77 def bn_with_initialize_last(out_channels): argument
88 def fc_with_initialize(input_channels, out_channels): argument
101 out_channels, argument
143 out_channels, argument
190 def __init__(self, block, in_channels, out_channels, stride): argument
206 def __init__(self, block, in_channels, out_channels, stride): argument
[all …]
|
| /third_party/mindspore/tests/st/networks/models/ |
| D | resnetv1_5.py | 37 def conv3x3(in_channels, out_channels, stride=1, padding=0): argument
45 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
53 def conv7x7(in_channels, out_channels, stride=1, padding=0): argument
61 def bn_with_initialize(out_channels): argument
72 def bn_with_initialize_last(out_channels): argument
83 def fc_with_initialize(input_channels, out_channels): argument
97 out_channels, argument
139 out_channels, argument
186 def __init__(self, block, in_channels, out_channels, stride): argument
202 def __init__(self, block, in_channels, out_channels, stride): argument
[all …]
|
| /third_party/mindspore/tests/st/export_and_load/ |
| D | test_resnet_air.py | 55 def conv3x3(in_channels, out_channels, stride=1, padding=1): argument
63 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
71 def conv7x7(in_channels, out_channels, stride=1, padding=0): argument
79 def bn_with_initialize(out_channels): argument
90 def bn_with_initialize_last(out_channels): argument
101 def fc_with_initialize(input_channels, out_channels): argument
115 out_channels, argument
158 out_channels, argument
206 def __init__(self, block, layer_num, in_channels, out_channels, stride): argument
223 def __init__(self, block, layer_num, in_channels, out_channels, stride): argument
[all …]
|
| /third_party/mindspore/tests/st/networks/ |
| D | test_gpu_resnet.py | 61 def conv3x3(in_channels, out_channels, stride=1, padding=1): argument
69 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
77 def conv7x7(in_channels, out_channels, stride=1, padding=0): argument
85 def bn_with_initialize(out_channels): argument
96 def bn_with_initialize_last(out_channels): argument
107 def fc_with_initialize(input_channels, out_channels): argument
121 out_channels, argument
164 out_channels, argument
212 def __init__(self, block, layer_num, in_channels, out_channels, stride): argument
229 def __init__(self, block, layer_num, in_channels, out_channels, stride): argument
[all …]
|
| /third_party/mindspore/tests/ut/python/exec/ |
| D | resnet_example.py | 26 def conv3x3(in_channels, out_channels, stride=1, padding=1): argument
33 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
40 def bn_with_initialize(out_channels): argument
61 out_channels, argument
117 def __init__(self, block, in_channels, out_channels, stride): argument
137 def __init__(self, block, in_channels, out_channels, stride): argument
160 def __init__(self, block, in_channels, out_channels, stride): argument
|
| /third_party/mindspore/tests/st/pynative/ |
| D | test_pynative_resnet50_gpu.py | 55 def conv3x3(in_channels, out_channels, stride=1, padding=0): argument
62 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
69 def conv7x7(in_channels, out_channels, stride=1, padding=0): argument
76 def bn_with_initialize(out_channels): argument
86 def bn_with_initialize_last(out_channels): argument
96 def fc_with_initialize(input_channels, out_channels): argument
105 out_channels, argument
147 out_channels, argument
194 def __init__(self, block, in_channels, out_channels, stride): argument
210 def __init__(self, block, in_channels, out_channels, stride): argument
[all …]
|
| D | test_pynative_resnet50_ascend.py | 93 def conv3x3(in_channels, out_channels, stride=1, padding=0): argument
100 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
107 def conv7x7(in_channels, out_channels, stride=1, padding=0): argument
114 def bn_with_initialize(out_channels): argument
124 def bn_with_initialize_last(out_channels): argument
134 def fc_with_initialize(input_channels, out_channels): argument
143 out_channels, argument
185 out_channels, argument
232 def __init__(self, block, in_channels, out_channels, stride): argument
248 def __init__(self, block, in_channels, out_channels, stride): argument
[all …]
|
| /third_party/mindspore/tests/ut/python/parallel/ |
| D | test_operator_model_parallel.py | 104 def conv3x3(in_channels, out_channels, stride=1): argument
115 def conv1x1(in_channels, out_channels, stride=1): argument
126 def conv7x7(in_channels, out_channels, stride=1): argument
147 def bn_with_initialize(out_channels): argument
159 def bn_with_initialize_last(out_channels): argument
171 def fc_with_initialize(input_channels, out_channels): argument
186 out_channels, argument
230 out_channels, argument
279 def __init__(self, block, in_channels, out_channels, stride): argument
|
| D | test_auto_parallel_resnet_sharding_propagation2.py | 46 def _conv3x3(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
53 def _conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
60 def _conv7x7(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
77 out_channels, argument
135 out_channels, argument
|
| D | test_auto_parallel_resnet_sharding_propagation.py | 47 def _conv3x3(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
54 def _conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
61 def _conv7x7(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
78 out_channels, argument
136 out_channels, argument
|
| /third_party/mindspore/tests/perf_test/ |
| D | resnet_example.py | 24 def conv3x3(in_channels, out_channels, stride=1, padding=1, pad_mode='pad'): argument
30 def conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='pad'): argument
44 out_channels, argument
121 def MakeLayer(self, block, layer_num, in_channels, out_channels, stride): argument
|
| D | lenet.py | 20 def conv(in_channels, out_channels, kernel_size, stride=1, padding=0): argument
28 def fc_with_initialize(input_channels, out_channels): argument
|
| /third_party/mindspore/tests/ut/python/model/ |
| D | res18_example.py | 27 def conv3x3(in_channels, out_channels, stride=1, padding=1, pad_mode='pad'): argument
33 def conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='pad'): argument
47 out_channels, argument
124 def MakeLayer(self, block, layer_num, in_channels, out_channels, stride): argument
193 def MakeLayer(self, block, layer_num, in_channels, out_channels, stride): argument
|
| /third_party/mindspore/tests/ut/python/communication/ |
| D | test_data_parallel_resnet.py | 29 def conv3x3(in_channels, out_channels, stride=1, padding=1, pad_mode='pad'): argument
35 def conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='pad'): argument
49 out_channels, argument
126 def MakeLayer(self, block, layer_num, in_channels, out_channels, stride): argument
195 def MakeLayer(self, block, layer_num, in_channels, out_channels, stride): argument
|
| /third_party/mindspore/tests/st/model_zoo_tests/yolov3_darknet53/src/ |
| D | darknet.py | 21 out_channels, argument
59 out_channels): argument
101 out_channels, argument
|
| /third_party/gstreamer/gstplugins_base/gst-libs/gst/audio/ |
| D | audio-channel-mixer.c | 63 gint out_channels; member
109 gint in_channels, GstAudioChannelPosition * in_position, gint out_channels, in gst_audio_channel_mixer_fill_identical()
139 GstAudioChannelPosition * in_position, gint out_channels, in gst_audio_channel_mixer_fill_compatible()
369 GstAudioChannelPosition * in_position, gint out_channels, in gst_audio_channel_mixer_fill_others()
570 gint out_channels) in gst_audio_channel_mixer_fill_normalize()
599 GstAudioChannelPosition * in_position, gint out_channels, in gst_audio_channel_mixer_fill_special()
637 GstAudioChannelPosition * in_position, gint out_channels, in gst_audio_channel_mixer_fill_matrix()
679 gint out_channels, GstAudioChannelPosition * out_position) in gst_audio_channel_mixer_setup_matrix()
829 gint in_channels, gint out_channels, gfloat ** matrix) in gst_audio_channel_mixer_new_with_matrix()
991 gint out_channels, GstAudioChannelPosition * out_position) in gst_audio_channel_mixer_new()
|
| /third_party/mindspore/tests/st/fl/mobile/src/ |
| D | model.py | 19 def conv(in_channels, out_channels, kernel_size, stride=1, padding=0): argument
34 def fc_with_initialize(input_channels, out_channels): argument
|
| /third_party/mindspore/tests/st/fl/cross_silo_faster_rcnn/src/FasterRcnn/ |
| D | fpn_neck.py | 30 def _conv(in_channels, out_channels, kernel_size=3, stride=1, padding=0, pad_mode='pad'): argument
68 out_channels, argument
|
| D | resnet50v1.py | 29 def _conv(in_channels, out_channels, kernel_size=3, stride=1, padding=0, pad_mode='pad'): argument
74 out_channels, argument
190 out_channels, argument
|
| /third_party/mindspore/tests/st/auto_parallel/ |
| D | resnet50_expand_loss.py | 45 def _conv3x3(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
51 def _conv1x1(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
57 def _conv7x7(in_channels, out_channels, stride=1, padding=0, pad_mode='same'): argument
72 out_channels, argument
115 out_channels, argument
164 out_channels, argument
|
| /third_party/mindspore/tests/ut/python/transform/ |
| D | test_transform.py | 32 def conv3x3(in_channels, out_channels, stride=1, padding=1): argument
40 def conv1x1(in_channels, out_channels, stride=1, padding=0): argument
56 out_channels, argument
|
| /third_party/mindspore/mindspore/lite/examples/export_models/models/ |
| D | mini_alexnet.py | 21 def conv(in_channels, out_channels, kernel_size, stride=1, padding=0, pad_mode="valid", has_bias=Tr… argument
26 def fc_with_initialize(input_channels, out_channels, has_bias=True): argument
|
| /third_party/mindspore/mindspore/nn/probability/bnn_layers/ |
| D | dense_variational.py | 35 out_channels, argument
182 out_channels, argument
276 out_channels, argument
|
| /third_party/mindspore/mindspore/nn/layer/ |
| D | conv.py | 38 out_channels, argument
225 out_channels, argument
391 out_channels, argument
593 out_channels, argument
798 out_channels, argument
1006 out_channels, argument
1186 out_channels, argument
|