/prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/x86_64-linux/include/c++/4.8/ext/pb_ds/detail/ov_tree_map_/ |
erase_fn_imps.hpp | 139 value_vector a_values = s_value_alloc.allocate(m_size - 1); local 142 iterator target_it = a_values; 145 cond_dtor<size_type> cd(a_values, target_it, m_size - 1); 173 m_a_values = a_values;
|
constructors_destructor_fn_imps.hpp | 127 value_vector a_values = s_value_alloc.allocate(len); 128 iterator target_it = a_values; 132 cond_dtor<size_type> cd(a_values, target_it, len); 142 m_a_values = a_values; 164 value_vector a_values = s_value_alloc.allocate(len); local 166 iterator target_it = a_values; 170 cond_dtor<size_type> cd(a_values, target_it, len); 190 m_a_values = a_values;
|
ov_tree_map_.hpp | 447 value_vector a_values = s_value_alloc.allocate(m_size + 1); local 451 iterator target_it = a_values; 454 cond_dtor<size_type> cd(a_values, target_it, m_size + 1); 481 m_a_values = a_values;
|
/prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/c++/4.8.3/ext/pb_ds/detail/ov_tree_map_/ |
erase_fn_imps.hpp | 139 value_vector a_values = s_value_alloc.allocate(m_size - 1); local 142 iterator target_it = a_values; 145 cond_dtor<size_type> cd(a_values, target_it, m_size - 1); 173 m_a_values = a_values;
|
constructors_destructor_fn_imps.hpp | 127 value_vector a_values = s_value_alloc.allocate(len); 128 iterator target_it = a_values; 132 cond_dtor<size_type> cd(a_values, target_it, len); 142 m_a_values = a_values; 164 value_vector a_values = s_value_alloc.allocate(len); local 166 iterator target_it = a_values; 170 cond_dtor<size_type> cd(a_values, target_it, len); 190 m_a_values = a_values;
|
ov_tree_map_.hpp | 447 value_vector a_values = s_value_alloc.allocate(m_size + 1); local 451 iterator target_it = a_values; 454 cond_dtor<size_type> cd(a_values, target_it, m_size + 1); 481 m_a_values = a_values;
|
/external/tensorflow/tensorflow/core/kernels/ |
sparse_add_op.cc | 47 OP_REQUIRES_OK(ctx, ctx->input("a_values", &a_values_t)); 57 auto a_values = ctx->input(1).vec<T>(); variable 60 ctx, a_values.size() == a_nnz && b_values.size() == b_nnz, 63 a_values.size(), " and ", b_values.size())); 113 out_values.push_back(a_values(i)); 117 s = a_values(i) + b_values(j);
|
sparse_sparse_binary_op_shared.cc | 64 typename TTypes<T>::ConstFlat a_values, int64 a_nnz, 80 a_augmented_values->push_back(a_values(i)); 86 a_augmented_values->push_back(a_values(i)); 102 a_augmented_values->push_back(a_values(i++)); 127 OP_REQUIRES_OK(ctx, ctx->input("a_values", &a_values_t)); 146 "Inputs a_values and b_values should be vectors " 153 const auto a_values = a_values_t->vec<T>(); variable 157 ctx, a_values.size() == a_nnz && b_values.size() == b_nnz, 160 a_values.size(), " and ", b_values.size())); 188 UnionSparseIndicesAndValues(a_indices_mat, a_values, a_nnz, b_indices_mat [all...] |
sparse_tensor_dense_matmul_op.cc | 43 const Tensor* a_values; variable 47 OP_REQUIRES_OK(ctx, ctx->input("a_values", &a_values)); 62 OP_REQUIRES(ctx, TensorShapeUtils::IsVector(a_values->shape()), 63 errors::InvalidArgument("Tensor 'a_values' is not a vector")); 69 OP_REQUIRES(ctx, nnz == a_values->NumElements(), 71 "match number of entries in a_values")); 109 FastBoundsCheck(a_values->NumElements(), int32max)), 126 if (a_values->NumElements() == 0 || b->NumElements() == 0) { 140 a_indices->matrix<Tindices>(), a_values->vec<T>(), [all...] |
/external/tensorflow/tensorflow/compiler/xla/tests/ |
array_elementwise_ops_test.cc | 192 std::vector<float> a_values; local 195 a_values.push_back(i / static_cast<float>(count)); 199 std::unique_ptr<Literal> a_literal = Literal::CreateR1<float>({a_values}); 202 auto a_constant = builder.ConstantR1<float>(a_values); 222 expected.push_back(4 * (a_values[i] + b_values[i])); [all...] |