| /external/scapy/doc/notebooks/tls/ |
| D | notebook1_x509.ipynb | 4 "cell_type": "markdown",
11 "cell_type": "markdown",
18 "cell_type": "code",
30 "cell_type": "code",
43 "cell_type": "code",
57 "cell_type": "markdown",
64 "cell_type": "code",
76 "cell_type": "code",
89 "cell_type": "code",
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| D | notebook2_tls_protected.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "code",
26 "cell_type": "markdown",
33 "cell_type": "code",
45 "cell_type": "code",
58 "cell_type": "markdown",
65 "cell_type": "code",
77 "cell_type": "markdown",
84 "cell_type": "code",
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| D | notebook4_tls13.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "code",
25 "cell_type": "code",
37 "cell_type": "code",
48 "cell_type": "code",
59 "cell_type": "code",
77 "cell_type": "code",
90 "cell_type": "code",
101 "cell_type": "code",
112 "cell_type": "markdown",
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| D | notebook3_tls_compromised.ipynb | 4 "cell_type": "markdown",
11 "cell_type": "code",
22 "cell_type": "code",
35 "cell_type": "code",
49 "cell_type": "code",
63 "cell_type": "code",
76 "cell_type": "code",
89 "cell_type": "code",
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| /external/tensorflow/tensorflow/lite/tutorials/ |
| D | post_training_quant.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "markdown",
31 "cell_type": "markdown",
73 "cell_type": "markdown",
83 "cell_type": "markdown",
93 "cell_type": "code",
107 "cell_type": "code",
121 "cell_type": "code",
134 "cell_type": "code",
157 "cell_type": "markdown",
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | rnn_common.py | 61 def _get_single_cell(cell_type, num_units): argument
74 cell_type = _CELL_TYPES.get(cell_type, cell_type)
75 if not cell_type or not issubclass(cell_type, contrib_rnn.RNNCell):
77 list(_CELL_TYPES.keys()), cell_type))
78 return cell_type(num_units=num_units)
81 def construct_rnn_cell(num_units, cell_type='basic_rnn', argument
102 cells = [_get_single_cell(cell_type, n) for n in num_units]
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| /external/tensorflow/tensorflow/compiler/xla/g3doc/tutorials/ |
| D | xla_compile.ipynb | 23 "cell_type": "markdown",
35 "cell_type": "code",
57 "cell_type": "markdown",
67 "cell_type": "markdown",
87 "cell_type": "markdown",
100 "cell_type": "code",
114 "cell_type": "markdown",
125 "cell_type": "code",
145 "cell_type": "code",
165 "cell_type": "markdown",
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| /external/tensorflow/tensorflow/contrib/autograph/examples/notebooks/ |
| D | workshop.ipynb | 4 "cell_type": "code",
22 "cell_type": "code",
43 "cell_type": "markdown",
58 "cell_type": "code",
101 "cell_type": "code",
135 "cell_type": "markdown",
150 "cell_type": "code",
184 "cell_type": "markdown",
196 "cell_type": "code",
224 "cell_type": "markdown",
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| D | ag_vs_eager_mnist_speed_test.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "markdown",
24 "cell_type": "code",
42 "cell_type": "code",
72 "cell_type": "markdown",
82 "cell_type": "code",
103 "cell_type": "markdown",
113 "cell_type": "code",
134 "cell_type": "markdown",
144 "cell_type": "code",
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/workshop/ |
| D | 1_basic.ipynb | 14 "cell_type": "markdown",
33 "cell_type": "code",
47 "cell_type": "markdown",
64 "cell_type": "code",
97 "cell_type": "code",
129 "cell_type": "code",
158 "cell_type": "code",
184 "cell_type": "markdown",
201 "cell_type": "code",
228 "cell_type": "code",
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| D | 3_inspecting.ipynb | 14 "cell_type": "markdown",
28 "cell_type": "markdown",
41 "cell_type": "code",
71 "cell_type": "code",
92 "cell_type": "code",
110 "cell_type": "code",
200 "cell_type": "markdown",
215 "cell_type": "code",
238 "cell_type": "markdown",
251 "cell_type": "code",
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| D | 2_models.ipynb | 19 "cell_type": "markdown",
38 "cell_type": "code",
52 "cell_type": "markdown",
69 "cell_type": "code",
101 "cell_type": "code",
127 "cell_type": "markdown",
148 "cell_type": "code",
173 "cell_type": "code",
205 "cell_type": "code",
236 "cell_type": "markdown",
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| /external/tensorflow/tensorflow/examples/udacity/ |
| D | 3_regularization.ipynb | 15 "cell_type": "markdown",
33 "cell_type": "code",
57 "cell_type": "markdown",
67 "cell_type": "code",
131 "cell_type": "markdown",
143 "cell_type": "code",
207 "cell_type": "code",
228 "cell_type": "markdown",
244 "cell_type": "markdown",
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| D | 4_convolutions.ipynb | 15 "cell_type": "markdown",
33 "cell_type": "code",
58 "cell_type": "code",
122 "cell_type": "markdown",
134 "cell_type": "code",
201 "cell_type": "code",
222 "cell_type": "markdown",
232 "cell_type": "code",
303 "cell_type": "code",
433 "cell_type": "markdown",
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| D | 1_notmnist.ipynb | 15 "cell_type": "markdown",
33 "cell_type": "code",
67 "cell_type": "markdown",
77 "cell_type": "code",
164 "cell_type": "markdown",
175 "cell_type": "code",
250 "cell_type": "markdown",
266 "cell_type": "markdown",
280 "cell_type": "code",
467 "cell_type": "markdown",
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| D | 2_fullyconnected.ipynb | 15 "cell_type": "markdown",
33 "cell_type": "code",
58 "cell_type": "markdown",
68 "cell_type": "code",
132 "cell_type": "markdown",
144 "cell_type": "code",
208 "cell_type": "markdown",
231 "cell_type": "code",
292 "cell_type": "markdown",
302 "cell_type": "code",
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/nmt_with_attention/ |
| D | nmt_with_attention.ipynb | 25 "cell_type": "markdown",
45 "cell_type": "markdown",
64 "cell_type": "code",
92 "cell_type": "markdown",
116 "cell_type": "code",
134 "cell_type": "code",
170 "cell_type": "code",
191 "cell_type": "code",
226 "cell_type": "code",
271 "cell_type": "markdown",
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| /external/tensorflow/tensorflow/tools/docker/notebooks/ |
| D | 1_hello_tensorflow.ipynb | 4 "cell_type": "markdown",
15 "cell_type": "markdown",
29 "cell_type": "markdown",
43 "cell_type": "code",
96 "cell_type": "markdown",
106 "cell_type": "code",
150 "cell_type": "code",
196 "cell_type": "markdown",
232 "cell_type": "markdown",
246 "cell_type": "code",
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/notebooks/ |
| D | custom_layers.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "code",
38 "cell_type": "markdown",
48 "cell_type": "markdown",
58 "cell_type": "markdown",
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| D | custom_training.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "code",
38 "cell_type": "markdown",
48 "cell_type": "markdown",
58 "cell_type": "markdown",
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| D | automatic_differentiation.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "code",
38 "cell_type": "markdown",
48 "cell_type": "markdown",
58 "cell_type": "markdown",
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| D | eager_basics.ipynb | 4 "cell_type": "markdown",
14 "cell_type": "code",
38 "cell_type": "markdown",
48 "cell_type": "markdown",
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| /external/tcpdump/ |
| D | print-atm.c | 455 uint8_t cell_type, func_type, payload, clp; in oam_print() local
465 cell_type = ((*(p+ATM_HDR_LEN_NOHEC+hec))>>4) & 0x0f; in oam_print()
484 tok2str(oam_celltype_values, "unknown", cell_type), in oam_print()
485 cell_type)); in oam_print()
487 if (oam_functype_values[cell_type] == NULL) in oam_print()
491 tok2str(oam_functype_values[cell_type],"none",func_type), in oam_print()
496 switch (cell_type << 4 | func_type) { in oam_print()
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| /external/scapy/doc/notebooks/ |
| D | Scapy in 15 minutes.ipynb | 4 "cell_type": "markdown",
11 "cell_type": "markdown",
18 "cell_type": "markdown",
29 "cell_type": "markdown",
38 "cell_type": "code",
56 "cell_type": "markdown",
63 "cell_type": "code",
89 "cell_type": "markdown",
96 "cell_type": "markdown",
103 "cell_type": "markdown",
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/ |
| D | models.py | 298 def get_rnn_model(rnn_size, cell_type, num_layers, input_op_fn, bidirectional, argument
334 if cell_type == 'rnn':
336 elif cell_type == 'gru':
338 elif cell_type == 'lstm':
342 raise ValueError('cell_type {} is not supported. '.format(cell_type))
|