| /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/tensorflow/tensorflow/python/framework/ |
| D | composite_tensor_utils.py | 82 new_values = np.concatenate((target.values, to_append.values), axis=0)
91 indices=new_indices, values=new_values, dense_shape=new_dense_shape)
106 new_values = _append_ragged_tensor_value(target.values, to_append.values)
108 new_values = np.concatenate((target.values, to_append.values), axis=0)
110 return ragged_tensor_value.RaggedTensorValue(new_values, new_row_splits)
|
| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_tensor.py | 1401 def with_values(self, new_values): argument
1416 new_values.shape.with_rank_at_least(1)
1417 self.values.shape[:1].assert_is_compatible_with(new_values.shape[:1])
1418 if (isinstance(new_values, RaggedTensor) and
1419 self._row_splits.dtype != new_values.row_splits.dtype):
1424 new_values = new_values.with_row_splits_dtype(dtypes.int64)
1425 return self.with_row_splits_dtype(dtypes.int64).with_values(new_values)
1427 values=new_values,
1435 def with_flat_values(self, new_values): argument
1452 return self.with_values(new_values)
[all …]
|
| /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/apitools/apitools/base/py/ |
| D | encoding_helper.py | 406 new_values = _DecodeUnknownMessages(
409 new_values = _DecodeUnrecognizedFields(message, pair_type)
410 setattr(message, destination, new_values)
420 new_values = []
429 new_values.append(new_pair)
430 return new_values
435 new_values = []
455 new_values.append(new_pair)
456 return 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/tensorflow/tensorflow/compiler/mlir/lite/ir/ |
| D | tfl_ops.cc | 194 SmallVector<ElementValueT, 16> new_values; in ConstFoldBinaryOpDenseDense() local
195 new_values.reserve(num_elements); in ConstFoldBinaryOpDenseDense()
216 new_values.push_back( in ConstFoldBinaryOpDenseDense()
220 return DenseElementsAttr::get(type, new_values); in ConstFoldBinaryOpDenseDense()
290 SmallVector<APFloat, 16> new_values; in ConstFoldUnaryOp() local
292 new_values.reserve(num_elements); in ConstFoldUnaryOp()
295 new_values.push_back(calculate(old_value)); in ConstFoldUnaryOp()
298 return DenseElementsAttr::get(result_shape_type, new_values); in ConstFoldUnaryOp()
1532 SmallVector<ValueType, 16> new_values; in BuildConstRangeTensor() local
1533 new_values.reserve(num_elements); in BuildConstRangeTensor()
[all …]
|
| /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 | 1141 std::vector<ShapeAndType> new_values(shapes_and_types.size()); in MergeHandleShapesAndTypes() local
1146 new_values[i].dtype = existing.dtype; in MergeHandleShapesAndTypes()
1151 new_values[i].dtype = shapes_and_types[i].dtype; in MergeHandleShapesAndTypes()
1155 if (!Merge(existing.shape, shapes_and_types[i].shape, &new_values[i].shape) in MergeHandleShapesAndTypes()
1158 new_values[i].shape = existing.shape; in MergeHandleShapesAndTypes()
1160 if (!existing.shape.SameHandle(new_values[i].shape)) { in MergeHandleShapesAndTypes()
1167 for (int i = 0; i < new_values.size(); ++i) { in MergeHandleShapesAndTypes()
1168 (*to_update)[i] = new_values[i]; in MergeHandleShapesAndTypes()
1201 std::vector<ShapeAndType> new_values(shapes_and_types.size()); in RelaxHandleShapesAndMergeTypes() local
1205 new_values[i].dtype = existing.dtype; in RelaxHandleShapesAndMergeTypes()
[all …]
|
| /external/protobuf/python/google/protobuf/internal/ |
| D | containers.py | 281 new_values = [self._type_checker.CheckValue(elem) for elem in elem_seq_iter]
282 if new_values:
283 self._values.extend(new_values)
320 new_values = []
322 new_values.append(self._type_checker.CheckValue(value))
323 self._values[start:stop] = new_values
|
| /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/python/cpython3/Lib/ |
| D | ast.py | 433 new_values = []
440 new_values.extend(value)
442 new_values.append(value)
443 old_value[:] = new_values
|
| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.-ragged-tensor.pbtxt | 136 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
144 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
|
| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.-ragged-tensor.pbtxt | 136 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
144 argspec: "args=[\'self\', \'new_values\'], varargs=None, keywords=None, defaults=None"
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | sparse_ops.py | 1556 new_values = array_ops.fill(array_ops.expand_dims(num_entries, 0), True)
1557 sp_values = sparse_tensor.SparseTensor(sp_input.indices, new_values,
1711 new_values = sp_values.values
1714 result = sparse_tensor.SparseTensor(new_indices, new_values, new_shape)
1764 new_values = array_ops.gather(sp_input.values, where_true)
1765 return sparse_tensor.SparseTensor(new_indices, new_values,
|
| D | array_grad.py | 183 new_values = array_ops.slice(
186 out_grads.append(ops.IndexedSlices(new_values, grad.indices, size))
206 new_values = array_ops.gather(grad.values, indices_to_select)
207 out_grads.append(ops.IndexedSlices(new_values, new_indices, size))
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | parsing_ops_test.py | 1525 new_values = {}
1530 new_values[k] = np.expand_dims(v, axis=0)
1533 new_values[k] = (np.insert(v[0], 0, 0,
1535 expected_context_values = new_values
1539 new_values = {}
1545 new_values[k] = np.expand_dims(v, axis=0)
1548 new_values[k] = np.expand_dims(v, axis=0)
1551 new_values[k] = (np.insert(v[0], 0, 0,
1553 expected_feat_list_values = new_values
|
| D | sparse_reshape_op_test.py | 319 new_values = new_dense[new_dense < 0.5]
328 self.assertAllEqual(output_val.values, new_values)
|
| /external/tensorflow/tensorflow/compiler/mlir/xla/transforms/ |
| D | legalize_tf.cc | 287 SmallVectorImpl<Value> *new_values, OpBuilder *builder)>;
361 SmallVector<Value, 4> new_values; // Generated by this iteration in CreateWhile32() local
363 new_values.reserve(value_count); in CreateWhile32()
371 &new_values, builder); in CreateWhile32()
380 new_values.insert(new_values.begin(), plus_one); in CreateWhile32()
382 Value updated_tuple = builder->create<xla_hlo::TupleOp>(loc, new_values); in CreateWhile32()
3304 SmallVectorImpl<Value> *new_values, in matchAndRewrite()
3340 new_values->assign({swaps, indices}); in matchAndRewrite()
|
| /external/python/cpython3/Objects/ |
| D | dictobject.c | 593 #define new_values(size) PyMem_NEW(PyObject *, size) macro
634 values = new_values(size); in new_dict_with_shared_keys()
1296 values = new_values(size); in make_keys_shared()
2646 newvalues = new_values(size); in PyDict_Copy()
|