Searched refs:empty_values (Results 1 – 8 of 8) sorted by relevance
| /external/pytorch/torch/csrc/jit/runtime/ |
| D | jit_trace.cpp | 77 std::vector<Value*> empty_values{}; in createPropNodeForIfBlock() local
78 auto opt_pn = pr->createProfileIValueNode(empty_values); in createPropNodeForIfBlock()
137 std::vector<Value*> empty_values{}; in traceLoop() local
142 auto opt_pn = pr->createProfileIValueNode(empty_values); in traceLoop()
179 auto opt_pn = pr->createProfileIValueNode(empty_values); in traceLoop()
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| /external/tensorflow/tensorflow/python/data/kernel_tests/ |
| D | from_sparse_tensor_slices_test.py | 109 empty_values = np.empty((0,), dtype=np.float64)
111 sparse_feed = sparse_tensor.SparseTensorValue(empty_indices, empty_values,
148 empty_values = []
150 sparse_feed = sparse_tensor.SparseTensorValue(empty_indices, empty_values,
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| /external/pytorch/aten/src/ATen/ |
| D | SparseTensorImpl.h | 272 auto empty_values = at::empty(values_size, values().options()); in resize_and_clear_() local
273 set_indices_and_values_unsafe(empty_indices, empty_values); in resize_and_clear_()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | sparse_tensors_map_ops.cc | 333 Tensor empty_values(DataTypeToEnum<T>::value, {0}); in Compute() local
335 OP_REQUIRES_OK(context, SparseTensor::Create(empty_indices, empty_values, in Compute()
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| /external/python/cpython3/Lib/ |
| D | _pyio.py | 1060 empty_values = (b"", None)
1078 if chunk in empty_values:
1097 if chunk in empty_values:
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| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_tensor_test.py | 419 empty_values = []
420 a = RaggedTensor.from_uniform_row_length(empty_values, 0, nrows=10)
427 c = RaggedTensor.from_uniform_row_length(empty_values, 0)
429 d = RaggedTensor.from_uniform_row_length(empty_values, 0, nrows=0)
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| /external/rust/android-crates-io/extra_versions/crates/clap/src/builder/ |
| D | arg.rs | 4997 pub fn empty_values(self, yes: bool) -> Self { in empty_values() method
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| /external/pytorch/test/ |
| D | test_sparse.py | 2855 empty_values = torch.empty(1, 0).to(values_device)
2862 torch.sparse_coo_tensor(indices, empty_values, empty_shape, device=device)
2865 t_empty = torch.sparse_coo_tensor(indices, empty_values, empty_shape, device=device)
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