| /external/libnetfilter_conntrack/src/conntrack/ |
| D | stack.c | 18 int num_elems; member
51 if (s->num_elems >= s->max_elems) { in stack_push()
55 memcpy(s->data + (s->elem_size * s->num_elems), data, s->elem_size); in stack_push()
56 s->num_elems++; in stack_push()
62 if (s->num_elems <= 0) { in stack_pop()
66 s->num_elems--; in stack_pop()
67 memcpy(data, s->data + (s->elem_size * s->num_elems), s->elem_size); in stack_pop()
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | sparse_to_dense_op.cc | 37 const int64 num_elems = in Compile() local
56 (sparse_values_shape.dims() == 1 && num_values == num_elems), in Compile()
59 ", should be [] or [", num_elems, "]")); in Compile()
70 if (sparse_values_shape.dims() == 0 && num_elems != 1) { in Compile()
71 sparse_values = Broadcast(sparse_values, {num_elems}); in Compile()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | sparse_to_dense_op.cc | 59 const int64 num_elems = indices.dims() > 0 ? indices.dim_size(0) : 1; in Compute() local
78 (sparse_values.dims() == 1 && num_values == num_elems), in Compute()
81 ", should be [] or [", num_elems, "]")); in Compute()
96 TensorShape ix_shape({num_elems, num_dims}); in Compute()
113 TensorShape({num_elems}), &sparse_values_b)); in Compute()
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| /external/boringssl/src/crypto/test/ |
| D | malloc.cc | 57 extern void *__libc_calloc(size_t num_elems, size_t size);
123 void *calloc(size_t num_elems, size_t size) { in calloc() argument
129 return __libc_calloc(num_elems, size); in calloc()
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| /external/flatbuffers/java/com/google/flatbuffers/ |
| D | FlatBufferBuilder.java | 447 public void startVector(int elem_size, int num_elems, int alignment) { in startVector() argument
449 vector_num_elems = num_elems; in startVector()
450 prep(SIZEOF_INT, elem_size * num_elems); in startVector()
451 prep(alignment, elem_size * num_elems); // Just in case alignment > int. in startVector()
481 public ByteBuffer createUnintializedVector(int elem_size, int num_elems, int alignment) { in createUnintializedVector() argument
482 int length = elem_size * num_elems; in createUnintializedVector()
483 startVector(elem_size, num_elems, alignment); in createUnintializedVector()
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| /external/tensorflow/tensorflow/lite/experimental/writer/ |
| D | option_writer_generator.cc | 137 for (int i = 0; i < d->num_elems; i++) { in BuildOptionToTypeFunctionMap()
201 for (int i = 0; i < d->num_elems; i++) { in BuildOpToOptionMap()
280 for (size_t i = 0; i < options->num_elems; i++) { in GenerateImportForOp()
346 for (size_t i = 0; i < options->num_elems; i++) { in GenerateImportForOp()
386 if (type_info->num_elems != 0) { in GenerateImport()
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| /external/flatbuffers/include/flatbuffers/ |
| D | minireflect.h | 91 case ST_STRUCT: return static_cast<size_t>(type_table->values[type_table->num_elems]); in InlineSize()
110 type_table->num_elems); in EnumName()
111 if (i >= 0 && i < static_cast<int64_t>(type_table->num_elems)) { in EnumName()
200 LookupEnum(union_type, type_table->values, type_table->num_elems); in IterateValue()
202 type_code_idx < static_cast<int32_t>(type_table->num_elems)) { in IterateValue()
236 for (size_t i = 0; i < type_table->num_elems; i++) { in IterateObject()
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| /external/pdfium/core/fxcrt/ |
| D | fx_memory.cpp | 33 void* FXMEM_DefaultCalloc(size_t num_elems, size_t byte_size) { in FXMEM_DefaultCalloc() argument
34 return FX_SafeAlloc(num_elems, byte_size); in FXMEM_DefaultCalloc()
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| D | fx_memory.h | 18 void* FXMEM_DefaultCalloc(size_t num_elems, size_t byte_size);
|
| /external/mesa3d/src/compiler/nir/ |
| D | nir_gather_info.c | 170 unsigned num_elems; in try_mask_partial_io() local
174 num_elems = glsl_get_aoa_size(type); in try_mask_partial_io()
178 num_elems = glsl_get_matrix_columns(type); in try_mask_partial_io()
186 if (offset >= num_elems * elem_width * mat_cols) { in try_mask_partial_io()
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| /external/mesa3d/src/compiler/glsl/ |
| D | ir_set_program_inouts.cpp | 283 unsigned num_elems; in try_mark_partial_variable() local
285 num_elems = type->length; in try_mark_partial_variable()
291 num_elems = type->matrix_columns; in try_mark_partial_variable()
295 if (index_as_constant->value.u[0] >= num_elems) { in try_mark_partial_variable()
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| /external/tensorflow/tensorflow/python/data/experimental/benchmarks/ |
| D | map_vectorization_benchmark.py | 116 num_elems = int(np.sum([np.prod(x) for x in input_size]))
135 name=name_template.format(str_id, batch_size, num_elems, "unoptimized"))
138 name=name_template.format(str_id, batch_size, num_elems, "optimized"))
|
| /external/tensorflow/tensorflow/core/distributed_runtime/ |
| D | tensor_coding_test.cc | 159 string MakeFloatTensorTestCase(int num_elems) { in MakeFloatTensorTestCase() argument
160 std::vector<int8> v(num_elems); in MakeFloatTensorTestCase()
161 for (int i = 0; i < num_elems; i++) { in MakeFloatTensorTestCase()
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | ctc_ops.py | 1069 num_elems = array_ops.shape(flat_elems[0])[0]
1084 def cond(i, num_elems, *args): argument
1086 return i >= 0 if reverse else i < num_elems
1091 def body(i, num_elems, *args): argument
1108 return [i, num_elems] + new_out + flat_accum
1123 loop_in = [init_i, num_elems] + outputs + flat_initial
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| /external/flatbuffers/php/ |
| D | FlatbufferBuilder.php | 584 public function startVector($elem_size, $num_elems, $alignment) argument
587 $this->vector_num_elems = $num_elems;
588 $this->prep(Constants::SIZEOF_INT, $elem_size * $num_elems);
589 $this->prep($alignment, $elem_size * $num_elems); // Just in case alignemnt > int;
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| /external/v8/src/runtime/ |
| D | runtime-regexp.cc | 1561 int num_elems) { in NewJSArrayWithElements() argument
1563 FixedArray::ShrinkOrEmpty(isolate, elems, num_elems)); in NewJSArrayWithElements()
1647 uint32_t num_elems = 0; in RUNTIME_FUNCTION() local
1684 elems = FixedArray::SetAndGrow(isolate, elems, num_elems++, substr); in RUNTIME_FUNCTION()
1685 if (num_elems == limit) { in RUNTIME_FUNCTION()
1686 return *NewJSArrayWithElements(isolate, elems, num_elems); in RUNTIME_FUNCTION()
1706 elems = FixedArray::SetAndGrow(isolate, elems, num_elems++, capture); in RUNTIME_FUNCTION()
1707 if (num_elems == limit) { in RUNTIME_FUNCTION()
1708 return *NewJSArrayWithElements(isolate, elems, num_elems); in RUNTIME_FUNCTION()
1718 elems = FixedArray::SetAndGrow(isolate, elems, num_elems++, substr); in RUNTIME_FUNCTION()
[all …]
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| /external/parameter-framework/asio-1.10.6/include/asio/detail/ |
| D | hash_map.hpp | 210 static std::size_t hash_size(std::size_t num_elems) in hash_size() argument
224 if (num_elems < sizes[i]) in hash_size()
|
| /external/flatbuffers/js/ |
| D | flatbuffers.js | 726 flatbuffers.Builder.prototype.startVector = function(elem_size, num_elems, alignment) { argument
728 this.vector_num_elems = num_elems;
729 this.prep(flatbuffers.SIZEOF_INT, elem_size * num_elems);
730 this.prep(alignment, elem_size * num_elems); // Just in case alignment > int.
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| /external/tensorflow/tensorflow/core/grappler/costs/ |
| D | graph_memory.cc | 116 int num_elems = TensorShape(shape).num_elements(); in InferMemUsageForNeighbors() local
117 neighbors_memory_usage += num_elems * size; in InferMemUsageForNeighbors()
|
| /external/tensorflow/tensorflow/core/framework/ |
| D | attr_value_util.cc | 43 int64 num_elems = TensorShape(t.tensor_shape()).num_elements(); in TensorByteSize() local
44 return num_elems < 0 ? -1 : num_elems * DataTypeSize(t.dtype()); in TensorByteSize()
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| /external/flatbuffers/lobster/ |
| D | flatbuffers.lobster | 139 def StartVector(elem_size, num_elems, alignment):
142 Prep(sz_32, elem_size * num_elems)
143 Prep(alignment, elem_size * num_elems) // In case alignment > int.
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| /external/mesa3d/src/gallium/auxiliary/gallivm/ |
| D | lp_bld_pack.h | 63 unsigned num_elems,
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| D | lp_bld_pack.c | 293 unsigned num_elems, in lp_build_uninterleave1() argument
299 assert(num_elems <= LP_MAX_VECTOR_LENGTH); in lp_build_uninterleave1()
301 for (i = 0; i < num_elems / 2; ++i) in lp_build_uninterleave1()
304 shuffle = LLVMConstVector(elems, num_elems / 2); in lp_build_uninterleave1()
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| /external/mesa3d/src/gallium/drivers/ddebug/ |
| D | dd_context.c | 244 unsigned num_elems, in dd_context_create_vertex_elements_state() argument
252 hstate->cso = pipe->create_vertex_elements_state(pipe, num_elems, elems); in dd_context_create_vertex_elements_state()
253 memcpy(hstate->state.velems.velems, elems, sizeof(elems[0]) * num_elems); in dd_context_create_vertex_elements_state()
254 hstate->state.velems.count = num_elems; in dd_context_create_vertex_elements_state()
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_BarrierTakeMany.pbtxt | 19 A one-dimensional tensor of indices, with length num_elems.
|