| /external/libchrome/third_party/jinja2/ |
| D | visitor.py | 61 new_values = []
68 new_values.extend(value)
70 new_values.append(value)
71 old_value[:] = new_values
|
| /external/python/apitools/apitools/base/py/ |
| D | encoding.py | 389 new_values = _DecodeUnknownMessages(
392 new_values = _DecodeUnrecognizedFields(message, pair_type)
393 setattr(message, destination, new_values)
403 new_values = []
412 new_values.append(new_pair)
413 return new_values
418 new_values = []
432 new_values.append(new_pair)
433 return new_values
|
| /external/protobuf/python/google/protobuf/internal/ |
| D | containers.py | 275 new_values = [self._type_checker.CheckValue(elem) for elem in elem_seq_iter]
276 if new_values:
277 self._values.extend(new_values)
314 new_values = []
316 new_values.append(self._type_checker.CheckValue(value))
317 self._values[start:stop] = new_values
|
| /external/python/cpython2/Lib/ |
| D | ast.py | 294 new_values = []
301 new_values.extend(value)
303 new_values.append(value)
304 old_value[:] = new_values
|
| /external/python/cpython2/Lib/ctypes/test/ |
| D | test_arrays.py | 36 new_values = range(42, 42+alen)
37 [setitem(ia, n, new_values[n]) for n in range(alen)]
39 self.assertEqual(values, new_values)
|
| /external/python/cpython3/Lib/ |
| D | ast.py | 314 new_values = []
321 new_values.extend(value)
323 new_values.append(value)
324 old_value[:] = new_values
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_HistogramFixedWidth.pbtxt | 39 new_values = [-1.0, 0.0, 1.5, 2.0, 5.0, 15]
42 hist = tf.histogram_fixed_width(new_values, value_range, nbins=5)
|
| /external/tensorflow/tensorflow/core/framework/ |
| D | shape_inference.cc | 1201 std::vector<ShapeAndType> new_values(shapes_and_types.size()); in MergeHandleShapesAndTypes() local
1206 new_values[i].dtype = existing.dtype; in MergeHandleShapesAndTypes()
1211 new_values[i].dtype = shapes_and_types[i].dtype; in MergeHandleShapesAndTypes()
1215 if (!Merge(existing.shape, shapes_and_types[i].shape, &new_values[i].shape) in MergeHandleShapesAndTypes()
1218 new_values[i].shape = existing.shape; in MergeHandleShapesAndTypes()
1220 if (!existing.shape.SameHandle(new_values[i].shape)) { in MergeHandleShapesAndTypes()
1227 for (int i = 0; i < new_values.size(); ++i) { in MergeHandleShapesAndTypes()
1228 (*to_update)[i] = new_values[i]; in MergeHandleShapesAndTypes()
1261 std::vector<ShapeAndType> new_values(shapes_and_types.size()); in RelaxHandleShapesAndMergeTypes() local
1265 new_values[i].dtype = existing.dtype; in RelaxHandleShapesAndMergeTypes()
[all …]
|
| /external/python/cpython3/Lib/ctypes/test/ |
| D | test_arrays.py | 38 new_values = list(range(42, 42+alen))
39 [setitem(ia, n, new_values[n]) for n in range(alen)]
41 self.assertEqual(values, new_values)
|
| /external/tensorflow/tensorflow/contrib/mpi_collectives/ |
| D | __init__.py | 158 new_values = tf.div(values, mpi_size) if average else values
159 return tf.IndexedSlices(new_values, indices,
|
| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_tensor.py | 995 def with_values(self, new_values): argument
1010 new_values.shape.with_rank_at_least(1)
1011 self.values.shape[:1].assert_is_compatible_with(new_values.shape[:1])
1013 new_values,
1020 def with_flat_values(self, new_values): argument
1037 return self.with_values(new_values)
1039 return self.with_values(self.values.with_flat_values(new_values))
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.-ragged-tensor.pbtxt | 124 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
128 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.-ragged-tensor.pbtxt | 124 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
128 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | parsing_ops_test.py | 1155 new_values = {}
1160 new_values[k] = np.expand_dims(v, axis=0)
1163 new_values[k] = (np.insert(v[0], 0, 0, axis=1), v[1],
1165 expected_context_values = new_values
1169 new_values = {}
1175 new_values[k] = np.expand_dims(v, axis=0)
1178 new_values[k] = (np.insert(v[0], 0, 0, axis=1), v[1],
1180 expected_feat_list_values = new_values
|
| D | sparse_reshape_op_test.py | 306 new_values = new_dense[new_dense < 0.5]
315 self.assertAllEqual(output_val.values, new_values)
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | sparse_ops.py | 1503 new_values = array_ops.fill(array_ops.expand_dims(num_entries, 0), True)
1504 sp_values = sparse_tensor.SparseTensor(sp_input.indices, new_values,
1649 new_values = sp_values.values
1652 result = sparse_tensor.SparseTensor(new_indices, new_values, new_shape)
1702 new_values = array_ops.gather(sp_input.values, where_true)
1703 return sparse_tensor.SparseTensor(new_indices, new_values,
|
| D | array_grad.py | 177 new_values = array_ops.slice(
180 out_grads.append(ops.IndexedSlices(new_values, grad.indices, size))
200 new_values = array_ops.gather(grad.values, indices_to_select)
201 out_grads.append(ops.IndexedSlices(new_values, new_indices, size))
|
| /external/python/cpython3/Objects/ |
| D | dictobject.c | 568 #define new_values(size) PyMem_NEW(PyObject *, size) macro
607 values = new_values(size); in new_dict_with_shared_keys()
1233 values = new_values(size); in make_keys_shared()
2550 newvalues = new_values(size); in PyDict_Copy()
|