| /external/tensorflow/tensorflow/lite/delegates/flex/ |
| D | kernel.cc | 338 OpNode* node_data) { in ExecuteFlexOp() argument
339 TF_RETURN_WITH_CONTEXT_IF_ERROR(node_data->BuildEagerInputs(buffer_map), in ExecuteFlexOp()
340 " (while executing '", node_data->name(), in ExecuteFlexOp()
343 node_data->mutable_outputs()->ResetTensorHandles(); in ExecuteFlexOp()
344 int num_retvals = node_data->NumOutputs(); in ExecuteFlexOp()
346 node_data->op()->Execute( in ExecuteFlexOp()
349 node_data->mutable_outputs()->GetTensorHandles()->data()), in ExecuteFlexOp()
352 " (while executing '", node_data->name(), "' via Eager)"); in ExecuteFlexOp()
354 if (num_retvals != node_data->NumOutputs()) { in ExecuteFlexOp()
359 TF_RETURN_IF_ERROR(node_data->PersistEagerOutputs(buffer_map)); in ExecuteFlexOp()
[all …]
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| /external/autotest/client/common_lib/cros/cfm/ |
| D | cras_node_collector.py | 104 def _create_input_node(self, node_data, device_data): argument
111 device_id = node_data['ID'].split(':')[0]
114 node_id=node_data['ID'],
115 node_name=node_data['Name'],
116 gain=node_data['Gain'],
117 node_type=node_data['Type'],
121 def _create_output_node(self, node_data, device_data): argument
128 device_id = node_data['ID'].split(':')[0]
131 node_id=node_data['ID'],
132 node_type=node_data['Type'],
[all …]
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| /external/tensorflow/tensorflow/compiler/xla/python/ |
| D | pytree.cc | 78 (a.node_data.ptr() == nullptr) != (b.node_data.ptr() == nullptr) || in operator ==()
82 if (a.node_data && a.node_data.not_equal(b.node_data)) { in operator ==()
146 node.node_data = std::move(keys); in FlattenInto()
153 node.node_data = out[1]; in FlattenInto()
162 node.node_data = py::reinterpret_borrow<py::object>(tuple.get_type()); in FlattenInto()
259 return node.node_data(*tuple); in MakeNode()
275 py::list keys = py::reinterpret_borrow<py::list>(node.node_data); in MakeNode()
287 return node.custom->from_iterable(node.node_data, tuple); in MakeNode()
366 if (keys.not_equal(node.node_data)) { in FlattenUpTo()
369 py::repr(node.node_data), py::repr(object))); in FlattenUpTo()
[all …]
|
| D | pytree.h | 165 pybind11::object node_data; member
|
| /external/adhd/cras/src/server/ |
| D | cras_observer.c | 182 struct cras_observer_alert_data_active_node *node_data = in active_node_alert() local
188 node_data->direction, in active_node_alert()
189 node_data->node_id); in active_node_alert()
196 struct cras_observer_alert_data_node_volume *node_data = in output_node_volume_alert() local
202 client->context, node_data->node_id, in output_node_volume_alert()
203 node_data->volume); in output_node_volume_alert()
210 struct cras_observer_alert_data_node_lr_swapped *node_data = in node_left_right_swapped_alert() local
216 client->context, node_data->node_id, in node_left_right_swapped_alert()
217 node_data->swapped); in node_left_right_swapped_alert()
224 struct cras_observer_alert_data_node_volume *node_data = in input_node_gain_alert() local
[all …]
|
| /external/webrtc/modules/audio_processing/transient/ |
| D | wpd_tree_unittest.cc | 151 const float* node_data = tree.NodeAt(kLevels, i)->data(); in TEST() local
154 EXPECT_NEAR(matlab_buffer[j], node_data[j], kTolerance) in TEST()
160 WriteFloatBufferToFile(&out_files_data[i], kLeavesSamples, node_data); in TEST()
|
| /external/mesa3d/src/util/ |
| D | sparse_array.c | 171 void *node_data = _util_sparse_array_node_data(root); in util_sparse_array_get() local
177 uintptr_t *children = node_data; in util_sparse_array_get()
186 node_data = _util_sparse_array_node_data(child); in util_sparse_array_get()
191 return (void *)((char *)node_data + (elem_idx * arr->elem_size)); in util_sparse_array_get()
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | functional.py | 1153 def add_unprocessed_node(layer, node_data): argument
1155 unprocessed_nodes[layer] = [node_data]
1157 unprocessed_nodes[layer].append(node_data)
1195 def process_node(layer, node_data): argument
1206 for input_data in nest.flatten(node_data):
1219 add_unprocessed_node(layer, node_data)
1229 add_unprocessed_node(layer, node_data)
1237 input_tensors = nest.pack_sequence_as(node_data, input_tensors)
1277 for node_data in inbound_nodes_data:
1282 add_unprocessed_node(layer, node_data)
[all …]
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| /external/doclava/res/assets/templates/assets/ |
| D | doclava-developer-reference.js | 200 var node_data = mom.children_data[i];
201 mom.children[i] = new_node(me, mom, node_data[0], node_data[1],
202 node_data[2], node_data[3]);
|
| /external/tensorflow/tensorflow/core/grappler/utils/ |
| D | scc.cc | 136 SCCNodeData node_data; in StronglyConnectedComponents() local
137 node_data.node = &node; in StronglyConnectedComponents()
138 node_data_container.push_back(node_data); in StronglyConnectedComponents()
|
| /external/elfutils/tests/ |
| D | run-readelf-vmcoreinfo.sh | 108 SYMBOL(node_data)=ffffffff81b80df0
109 LENGTH(node_data)=512
|
| /external/doclava/res/assets/templates-sdk/assets/js/ |
| D | docs.js | 1011 var node_data = mom.children_data[i];
1012 linkText = node_data[0];
1017 mom.children[i] = new_google_node(me, mom, linkText, node_data[1],
1018 node_data[2], node_data[3]);
1034 var node_data = data[i];
1035 $containerUl.append(new_google_node2(node_data));
1044 function new_google_node2(node_data) { argument
1045 var linkText = node_data[NODE_NAME];
1051 if (node_data[NODE_HREF] != null) {
1052 $a = $('<a href="' + toRoot + node_data[NODE_HREF] + '" title="' + linkText + '" >' +
[all …]
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| /external/tensorflow/tensorflow/python/keras/saving/saved_model/ |
| D | load.py | 256 self._node_paths = {node_data.node_id: node_data.node_path
257 for node_data in metadata.nodes}
|