| /aosp_15_r20/external/pytorch/torch/ao/nn/quantizable/modules/ |
| H A D | rnn.py | 202 bidirectional: bool = False,
209 self.bidirectional = bidirectional
213 if self.bidirectional:
226 if self.bidirectional:
247 if hasattr(self, "layer_bw") and self.bidirectional:
285 bidirectional = kwargs.get("bidirectional", other.bidirectional)
287 layer = cls(input_size, hidden_size, bias, batch_first, bidirectional)
296 if other.bidirectional:
342 bidirectional: bool = False,
354 self.bidirectional = bidirectional
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| /aosp_15_r20/external/pytorch/torch/nn/modules/ |
| H A D | rnn.py | 81 bidirectional: bool
93 bidirectional: bool = False,
107 self.bidirectional = bidirectional
110 num_directions = 2 if bidirectional else 1
278 bool(self.bidirectional),
323 num_directions = 2 if self.bidirectional else 1
383 if self.bidirectional is not False:
412 num_directions = 2 if self.bidirectional else 1
606 bidirectional: bool = False,
653 num_directions = 2 if self.bidirectional else 1
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| /aosp_15_r20/external/pytorch/torch/csrc/api/src/nn/modules/ |
| H A D | rnn.cpp | 61 const int64_t num_directions = options_base.bidirectional() ? 2 : 1; in reset()
236 options_base.bidirectional()); in flatten_parameters()
316 int64_t num_directions = options_base.bidirectional() ? 2 : 1; in get_expected_hidden_size()
375 << ", bidirectional=" << options_base.bidirectional(); in pretty_print()
425 .bidirectional(options_.bidirectional())), in RNNImpl()
435 int64_t num_directions = options_base.bidirectional() ? 2 : 1; in forward_helper()
460 options_base.bidirectional(), in forward_helper()
472 options_base.bidirectional(), in forward_helper()
491 options_base.bidirectional()); in forward_helper()
503 options_base.bidirectional()); in forward_helper()
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| /aosp_15_r20/external/pytorch/benchmarks/functional_autograd_benchmark/ |
| H A D | torchaudio_models.py | 186 bidirectional=False, argument
192 self.bidirectional = bidirectional
199 bidirectional=bidirectional,
202 self.num_directions = 2 if bidirectional else 1
213 if self.bidirectional:
269 bidirectional, argument
279 self.bidirectional = bidirectional
306 bidirectional=bidirectional,
315 bidirectional=bidirectional,
325 if not bidirectional
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| /aosp_15_r20/external/pytorch/aten/src/ATen/native/mkldnn/ |
| H A D | RNN.cpp | 41 bool bidirectional, in mkldnn_rnn_layer() argument
67 bool bidirectional, in mkldnn_rnn_layer_backward() argument
105 bool bidirectional, in RNNParams()
114 num_directions = bidirectional ? 2 : 1; in RNNParams()
229 bool bidirectional, in mkldnn_rnn_layer() argument
238 bidirectional, in mkldnn_rnn_layer()
314 bool bidirectional, in mkldnn_rnn_layer_backward() argument
333 bidirectional, in mkldnn_rnn_layer_backward()
459 bool train, bool bidirectional, IntArrayRef batch_sizes) { in mkldnn_rnn() argument
476 auto num_directions = bidirectional ? 2 : 1; in mkldnn_rnn()
[all …]
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| /aosp_15_r20/external/pytorch/torch/ao/nn/quantized/dynamic/modules/ |
| H A D | rnn.py | 105 bidirectional=False, argument
117 self.bidirectional = bidirectional
121 num_directions = 2 if bidirectional else 1
205 if self.bidirectional is not False:
257 num_directions = 2 if self.bidirectional else 1
316 num_directions = 2 if self.bidirectional else 1
387 mod.bidirectional,
398 mod.bidirectional,
406 num_directions = 2 if mod.bidirectional else 1
474 num_directions = 2 if self.bidirectional else 1
[all …]
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| /aosp_15_r20/external/pytorch/aten/src/ATen/native/ |
| H A D | RNN.cpp | 1112 int64_t num_layers, double dropout_p, bool train, bool bidirectional) { in _rnn_impl() argument
1115 if (bidirectional) { in _rnn_impl()
1129 int64_t num_layers, double dropout_p, bool train, bool bidirectional) { in _rnn_impl_with_concat() argument
1130 …ellType, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional); in _rnn_impl_with_concat()
1138 int64_t num_layers, double dropout_p, bool train, bool bidirectional) { in _lstm_impl() argument
1150 …params>, LayerT, BidirLayerT>(input, params, hiddens, num_layers, dropout_p, train, bidirectional); in _lstm_impl()
1203 bool bidirectional, \
1218 bidirectional, \
1235 bidirectional, \
1250 bidirectional); \
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| /aosp_15_r20/external/pytorch/aten/src/ATen/native/cudnn/ |
| H A D | RNN.cpp | 88 bool bidirectional, in _cudnn_rnn_backward() argument
156 cudnnDirectionMode_t bidirectional; member
164 return bidirectional ? 2 : 1; in num_directions()
190 bidirectional = in set_bidirectional()
204 bool bidirectional, in set()
215 bool bidirectional, in set()
227 this->set_bidirectional(bidirectional); in set()
243 bidirectional, in set()
259 bidirectional, in set()
1248 bool bidirectional, in copy_weights_to_flat_buf_views() argument
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| /aosp_15_r20/external/autotest/server/cros/network/ |
| H A D | iperf_runner.py | 74 if config.bidirectional:
235 self.bidirectional = False
238 self.bidirectional = False
241 self.bidirectional = True
244 self.bidirectional = False
247 self.bidirectional = False
250 self.bidirectional = True
330 self._bidirectional_flag = '-d' if config.bidirectional else ''
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| /aosp_15_r20/external/pytorch/aten/src/ATen/native/miopen/ |
| H A D | RNN_miopen.cpp | 43 …double dropout, bool train, bool bidirectional, IntArrayRef batch_sizes, const std::optional<Tenso… in miopen_rnn_backward() argument
117 …void set(int64_t mode, int64_t hidden_size, int64_t num_layers, bool bidirectional, miopenDataType… in set()
121 this->set_bidirectional(bidirectional); in set()
763 …double dropout, bool train, bool bidirectional, IntArrayRef batch_sizes, const std::optional<Tenso… in miopen_rnn_backward() argument
781 … grad_cy, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, … in miopen_rnn_backward()
784 …, output, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, … in miopen_rnn_backward()
825 int64_t num_layers, double dropout_p, bool train, bool bidirectional) { in _miopen_impl() argument
837 dropout_p, train, bidirectional, batch_sizes, dropout_state); in _miopen_impl()
847 int64_t num_layers, double dropout_p, bool train, bool bidirectional, bool batch_first) { in _miopen_impl() argument
856 train, bidirectional, /*batch_sizes=*/{}, dropout_state); in _miopen_impl()
[all …]
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| /aosp_15_r20/external/python/cpython2/Tools/pybench/ |
| D | Unicode.py | 473 bidirectional = unicodedata.bidirectional
486 bidirectional(c)
495 bidirectional(c)
504 bidirectional(c)
513 bidirectional(c)
522 bidirectional(c)
535 bidirectional = unicodedata.bidirectional
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| /aosp_15_r20/external/pytorch/torch/ao/nn/quantized/reference/modules/ |
| H A D | rnn.py | 403 bidirectional: bool = False,
417 bidirectional,
509 num_directions = 2 if self.bidirectional else 1
589 num_directions = 2 if self.bidirectional else 1
640 self.bidirectional,
653 self.bidirectional,
681 mod.bidirectional,
774 num_directions = 2 if self.bidirectional else 1
797 self.bidirectional,
810 self.bidirectional,
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| /aosp_15_r20/external/pytorch/aten/src/ATen/native/mps/operations/ |
| H A D | RnnOps.mm | 37 bool bidirectional,
43 if (bidirectional) {
93 bool bidirectional,
108 const int64_t total_layers = num_layers * (bidirectional ? 2 : 1);
135 … std::to_string(num_layers) + "_bidirectional_" + std::to_string(bidirectional) + "_has_biases_" +
161 opDesc.bidirectional = bidirectional;
192 bidirectional,
217 if (bidirectional) {
356 bool bidirectional,
373 hidden_size * (bidirectional ? 2 : 1)},
[all …]
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| /aosp_15_r20/external/pytorch/aten/src/ATen/native/vulkan/ops/ |
| H A D | Gru.cpp | 50 bool bidirectional, in gru_input() argument
64 !bidirectional, "Vulkan gru expects 'bidirectional' to be false."); in gru_input()
193 bool bidirectional, in GruPackedContext() argument
199 !bidirectional, "Vulkan gru expects 'bidirectional' to be false."); in GruPackedContext()
210 packed_.emplace_back(bidirectional); in GruPackedContext()
268 bool bidirectional, in create_gru_context() argument
276 bidirectional, in create_gru_context()
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| H A D | Lstm.cpp | 59 bool bidirectional, in lstm_input() argument
79 !bidirectional, "Vulkan LSTM expects 'bidirectional' to be false."); in lstm_input()
235 bool bidirectional, in LstmPackedContext() argument
241 !bidirectional, "Vulkan LSTM expects 'bidirectional' to be false."); in LstmPackedContext()
252 packed_.emplace_back(bidirectional); in LstmPackedContext()
310 bool bidirectional, in create_lstm_context() argument
318 bidirectional, in create_lstm_context()
|
| /aosp_15_r20/external/skia/third_party/libgrapheme/ |
| H A D | BUILD.gn | 62 compile_tool("bidirectional") {
63 sources = [ "../externals/libgrapheme/gen/bidirectional.c" ]
99 "$_src/bidirectional.c",
109 ":bidirectional",
147 "$_src/bidirectional.c",
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| /aosp_15_r20/external/python/cpython2/Lib/test/ |
| D | test_unicodedata.py | 96 self.db.bidirectional(char),
149 self.assertEqual(self.db.bidirectional(u'\uFFFE'), '')
150 self.assertEqual(self.db.bidirectional(u' '), 'WS')
151 self.assertEqual(self.db.bidirectional(u'A'), 'L')
152 self.assertEqual(self.db.bidirectional(u'\U00020000'), 'L')
154 self.assertRaises(TypeError, self.db.bidirectional)
155 self.assertRaises(TypeError, self.db.bidirectional, u'xx')
|
| /aosp_15_r20/external/pytorch/torch/csrc/api/include/torch/nn/options/ |
| H A D | rnn.h | 44 TORCH_ARG(bool, bidirectional) = false;
87 TORCH_ARG(bool, bidirectional) = false;
120 TORCH_ARG(bool, bidirectional) = false;
155 TORCH_ARG(bool, bidirectional) = false;
|
| /aosp_15_r20/external/python/cpython3/Lib/test/ |
| D | test_unicodedata.py | 90 self.db.bidirectional(char),
154 self.assertEqual(self.db.bidirectional('\uFFFE'), '')
155 self.assertEqual(self.db.bidirectional(' '), 'WS')
156 self.assertEqual(self.db.bidirectional('A'), 'L')
157 self.assertEqual(self.db.bidirectional('\U00020000'), 'L')
159 self.assertRaises(TypeError, self.db.bidirectional)
160 self.assertRaises(TypeError, self.db.bidirectional, 'xx')
|
| /aosp_15_r20/external/pytorch/test/quantization/core/ |
| H A D | test_quantized_module.py | 1691 bidirectional=st.booleans(),
1694 def test_lstm_api(self, dtype, bidirectional): argument
1707 num_directions = 2 if bidirectional else 1
1723 h = torch.randn(num_layers * (bidirectional + 1), batch, hidden_size)
1724 c = torch.randn(num_layers * (bidirectional + 1), batch, hidden_size)
1731 bidirectional=bidirectional,
1739 bidirectional=bidirectional,
1749 bidirectional,
1781 bidirectional = False
1784 h = torch.rand(num_layers * (bidirectional + 1), batch, hidden_size)
[all …]
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| /aosp_15_r20/external/pytorch/aten/src/ATen/cudnn/ |
| H A D | AutocastRNN.cpp | 35 bool bidirectional, in _cudnn_rnn_cast_reflatten() argument
91 bidirectional, in _cudnn_rnn_cast_reflatten()
112 bidirectional, in _cudnn_rnn_cast_reflatten()
|
| /aosp_15_r20/external/webrtc/pc/ |
| H A D | sdp_serializer.cc | 221 bool bidirectional = tokens.size() == 4; // indicates both send and recv in DeserializeSimulcastDescription() local
225 (bidirectional && tokens[2] != kSendDirection && in DeserializeSimulcastDescription()
227 (bidirectional && tokens[0] == tokens[2])) { in DeserializeSimulcastDescription()
238 if (bidirectional) { in DeserializeSimulcastDescription()
|
| /aosp_15_r20/external/pytorch/benchmarks/fastrnns/ |
| H A D | custom_lstms.py | 42 bidirectional=False, argument
50 if bidirectional:
78 bidirectional=False, argument
88 if bidirectional:
458 rnn = script_lstm(input_size, hidden_size, num_layers, bidirectional=True)
463 lstm = nn.LSTM(input_size, hidden_size, num_layers, bidirectional=True)
|
| /aosp_15_r20/external/sdv/vsomeip/third_party/boost/mpl/doc/src/refmanual/ |
| D | advance.rst | 25 Moves ``Iterator`` by the distance ``N``. For |bidirectional| and
126 .. |bidirectional| replace:: `bidirectional`_ substdef in See also
|
| /aosp_15_r20/external/pytorch/test/cpp/api/ |
| H A D | rnn.cpp | 399 GRU gru(GRUOptions(100, 256).num_layers(2).bidirectional(true)); in TEST_F()
453 GRU bi_grus{gru_options.bidirectional(true)}; in BidirectionalGRUReverseForward()
454 GRU reverse_gru{gru_options.bidirectional(false)}; in BidirectionalGRUReverseForward()
508 LSTM bi_lstm{lstm_opt.bidirectional(true)}; in BidirectionalLSTMReverseForwardTest()
509 LSTM reverse_lstm{lstm_opt.bidirectional(false)}; in BidirectionalLSTMReverseForwardTest()
557 GRUOptions(2, 4).num_layers(3).batch_first(false).bidirectional(true); in TEST_F()
612 LSTMOptions(2, 4).num_layers(3).batch_first(false).bidirectional(true); in TEST_F()
668 .bidirectional(true) in TEST_F()
|