/external/selinux/libsepol/cil/src/ |
H A D | cil_mem.h | 35 void *cil_calloc(size_t num_elements, size_t element_size);
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H A D | cil_mem.c | 63 void *cil_calloc(size_t num_elements, size_t element_size) argument 65 void *mem = calloc(num_elements, element_size);
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
H A D | reshape_op.cc | 41 const int64 num_dims = sizes_shape.num_elements(); 75 const int64 missing = input_shape.num_elements() / product; 77 ctx, product * missing == input_shape.num_elements(), 79 "Input to reshape is a tensor with ", input_shape.num_elements(), 84 OP_REQUIRES(ctx, shape.num_elements() == input_shape.num_elements(), 86 input_shape.num_elements(), 88 shape.num_elements()));
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H A D | reverse_op.cc | 42 OP_REQUIRES(ctx, revd_shape.num_elements() == x_shape.dims(), 47 if (revd_shape.num_elements() == 0) { 83 OP_REQUIRES(ctx, axes_shape.num_elements() <= x_shape.dims(), 89 if (axes_shape.num_elements() == 0) {
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
H A D | partition_assignment.cc | 48 int64 num_elements = ShapeUtil::ElementsIn(shape); local 49 if (num_elements <= 1) { 85 if (num_elements < threads_per_block) { 86 threads_per_block = num_elements; 91 int64 block_count = CeilOfRatio(num_elements, threads_per_block); 95 num_elements, threads_per_block, block_count);
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/external/libmojo/mojo/public/cpp/bindings/lib/ |
H A D | array_internal.h | 50 static uint32_t GetStorageSize(uint32_t num_elements) { argument 51 DCHECK(num_elements <= kMaxNumElements); 52 return sizeof(ArrayHeader) + sizeof(StorageType) * num_elements; 93 static uint32_t GetStorageSize(uint32_t num_elements) { argument 94 return sizeof(ArrayHeader) + ((num_elements + 7) / 8); 136 for (uint32_t i = 0; i < header->num_elements; ++i) { 155 for (uint32_t i = 0; i < header->num_elements; ++i) { 168 header->num_elements, i) 187 for (uint32_t i = 0; i < header->num_elements; ++i) { 193 header->num_elements, 273 New(size_t num_elements, Buffer* buf) argument [all...] |
/external/eigen/test/ |
H A D | umeyama.cpp | 91 void run_test(int dim, int num_elements) argument 109 MatrixX src = MatrixX::Random(dim+1, num_elements); 110 src.row(dim) = Matrix<Scalar, 1, Dynamic>::Constant(num_elements, Scalar(1)); 114 MatrixX cR_t_umeyama = umeyama(src.block(0,0,dim,num_elements), dst.block(0,0,dim,num_elements)); 121 void run_fixed_size_test(int num_elements) 143 MatrixX src = MatrixX::Random(dim+1, num_elements); 144 src.row(dim) = Matrix<Scalar, 1, Dynamic>::Constant(num_elements, Scalar(1)); 148 Block<MatrixX, Dimension, Dynamic> src_block(src,0,0,dim,num_elements); 149 Block<MatrixX, Dimension, Dynamic> dst_block(dst,0,0,dim,num_elements); [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
H A D | spacetobatch_functor.h | 54 const int64 num_elements = t.shape().num_elements(); local 55 output->resize(num_elements); 57 for (int64 i = 0; i < num_elements; ++i) {
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H A D | parameterized_truncated_normal_op.h | 38 int64 samples_per_batch, int64 num_elements,
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/external/tensorflow/tensorflow/core/util/ |
H A D | example_proto_helper.cc | 65 const std::size_t num_elements = shape.num_elements(); local 66 const std::size_t offset = out_index * num_elements; 71 if (static_cast<size_t>(values.value_size()) != num_elements) { 79 std::copy_n(values.value().data(), num_elements, out_p); 84 if (static_cast<size_t>(values.value_size()) != num_elements) { 92 std::copy_n(values.value().data(), num_elements, out_p); 97 if (static_cast<size_t>(values.value_size()) != num_elements) { 106 values.value().data() + num_elements, out_p, 121 const int64 num_elements local 129 const int64 num_elements = values.value_size(); local 137 const int64 num_elements = values.value_size(); local 153 const int64 num_elements = in.shape().num_elements(); local 191 const std::size_t num_elements = in.shape().num_elements(); local 306 const int64 num_elements = t.shape().num_elements(); local 397 const int64 num_elements = CopyIntoSparseTensor( local [all...] |
H A D | work_sharder_test.cc | 70 std::atomic<int64> num_elements(0); 72 [&num_elements](int64 start, int64 limit) { 73 num_elements += limit - start; 75 EXPECT_EQ(num_elements.load(), total_elements);
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H A D | tensor_slice_writer.h | 64 // Allocate "num_elements" elements in "ss" and save the data in "data" 67 static Status SaveData(const T* data, int64 num_elements, SavedSlice* ss); 148 TF_RETURN_IF_ERROR(SaveData(data, sliced_shape.num_elements(), ss)); 164 Status TensorSliceWriter::SaveData(const T* data, int64 num_elements, argument 168 (MaxBytesPerElement(DataTypeToEnum<T>::value) * num_elements); 174 Fill(data, num_elements, ss->mutable_data()); 181 Status TensorSliceWriter::SaveData(const string* data, int64 num_elements,
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/external/libcups/cups/ |
H A D | array.c | 46 int num_elements, /* Number of array elements */ member in struct:_cups_array_s 232 for (i = a->num_elements, e = a->elements; i > 0; i --, e ++) 241 a->num_elements = 0; 269 return (a->num_elements); 296 if (a->current >= 0 && a->current < a->num_elements) 332 for (i = a->num_elements, e = a->elements; i > 0; i --, e ++) 386 if (a->num_elements) 392 da->elements = malloc((size_t)a->num_elements * sizeof(void *)); 411 for (i = 0; i < a->num_elements; i ++) 420 memcpy(da->elements, a->elements, (size_t)a->num_elements * sizeo [all...] |
/external/webrtc/webrtc/common_audio/ |
H A D | ring_buffer_unittest.cc | 33 static int SetIncrementingData(int* data, int num_elements, argument 35 for (int i = 0; i < num_elements; i++) { 41 static int CheckIncrementingData(int* data, int num_elements, argument 43 for (int i = 0; i < num_elements; i++) { 71 const int num_elements = rand() % buffer_size; local 76 const int expected_elements = std::min(num_elements, buffer_available); 81 num_elements)); 85 const int expected_elements = std::min(num_elements, 93 num_elements));
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/external/tensorflow/tensorflow/core/framework/ |
H A D | tensor_shape_test.cc | 40 EXPECT_EQ(s.num_elements(), 1); 49 EXPECT_EQ(100, s.num_elements()); 54 EXPECT_EQ(40, s.num_elements()); 60 EXPECT_EQ(5, s.num_elements()); 69 EXPECT_EQ(20000, s.num_elements()); 78 EXPECT_EQ(30, s.num_elements()); 91 ASSERT_EQ(210, s0.num_elements()); 97 ASSERT_EQ(210, s0.num_elements()); 104 ASSERT_EQ(42, s1.num_elements()); 110 ASSERT_EQ(210, s2.num_elements()); 275 int64 num_elements() const { return num_elements_; } function in class:tensorflow::__anon26276::TensorShapeOld 348 int64 num_elements = 1; local 358 int64 num_elements = 1; local 555 int64 num_elements = 1; local [all...] |
/external/tensorflow/tensorflow/contrib/input_pipeline/kernels/ |
H A D | input_pipeline_kernels.cc | 32 int64 num_elements = list->NumElements(); variable 48 *pos = (*pos + 1) % num_elements;
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/external/tensorflow/tensorflow/core/lib/random/ |
H A D | weighted_picker.h | 72 int num_elements() const; 88 // Note: Resizing to a smaller size than num_elements() will 92 // It is efficient to use repeated calls to Resize(num_elements() + 1) 128 inline int WeightedPicker::num_elements() const { return N_; } function in class:tensorflow::random::WeightedPicker
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/external/tensorflow/tensorflow/compiler/xla/ |
H A D | array.h | 105 : sizes_(sizes.begin(), sizes.end()), values_(new T[num_elements()]) { 121 CHECK(idx == num_elements()); 138 CHECK(idx == num_elements()); 155 CHECK(idx == num_elements()); 176 CHECK(idx == num_elements()); 196 CHECK(idx == num_elements()); 221 CHECK(idx == num_elements()); 225 : sizes_(other.sizes_), values_(new T[num_elements()]) { 226 std::copy(&other.values_[0], &other.values_[0] + num_elements(), 232 values_.reset(new T[num_elements()]); [all...] |
/external/mesa3d/src/gallium/state_trackers/va/ |
H A D | buffer.c | 40 unsigned int size, unsigned int num_elements, void *data, 55 buf->num_elements = num_elements; 56 buf->data = MALLOC(size * num_elements); 64 memcpy(buf->data, data, size * num_elements); 76 unsigned int num_elements) 94 buf->data = REALLOC(buf->data, buf->size * buf->num_elements, 95 buf->size * num_elements); 96 buf->num_elements = num_elements; 39 vlVaCreateBuffer(VADriverContextP ctx, VAContextID context, VABufferType type, unsigned int size, unsigned int num_elements, void *data, VABufferID *buf_id) argument 75 vlVaBufferSetNumElements(VADriverContextP ctx, VABufferID buf_id, unsigned int num_elements) argument 213 vlVaBufferInfo(VADriverContextP ctx, VABufferID buf_id, VABufferType *type, unsigned int *size, unsigned int *num_elements) argument [all...] |
H A D | picture_mpeg12.c | 34 assert(buf->size >= sizeof(VAPictureParameterBufferMPEG2) && buf->num_elements == 1); 70 assert(buf->size >= sizeof(VAIQMatrixBufferMPEG2) && buf->num_elements == 1); 84 assert(buf->size >= sizeof(VASliceParameterBufferMPEG2) && buf->num_elements == 1); 85 context->desc.mpeg12.num_slices += buf->num_elements;
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/external/tensorflow/tensorflow/python/profiler/internal/ |
H A D | flops_registry.py | 68 return ops.OpStats("flops", in_shape.num_elements() * ops_per_element) 121 return ops.OpStats("flops", in_shape.num_elements() * 3 - 1) 144 return ops.OpStats("flops", out_shape.num_elements() * ops_per_element) 247 num_flops = (in_shape.num_elements() * reduce_flops 248 + out_shape.num_elements() * (finalize_flops - reduce_flops)) 321 return ops.OpStats("flops", kernel_area * out_shape.num_elements()) 350 kernel_area * out_backprop_shape.num_elements() * 2) 377 max_pool_ops = kernel_area * orig_out_shape.num_elements() 378 return ops.OpStats("flops", max_pool_ops + orig_out_shape.num_elements()) 408 (2 * out_shape.num_elements() [all...] |
/external/tensorflow/tensorflow/python/ops/ |
H A D | list_ops.py | 58 num_elements = op.inputs[0].shape[0] 60 num_elements = None 68 num_elements=num_elements)
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/external/tensorflow/tensorflow/tools/graph_transforms/ |
H A D | round_weights.cc | 59 const size_t num_elements = old_tensor.NumElements(); 64 if ((old_dtype != DT_FLOAT) || (num_elements < 16)) { 71 for (int i = 0; i < num_elements; ++i) { 94 for (int i = 0; i < num_elements; ++i) {
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/external/webrtc/webrtc/voice_engine/test/auto_test/standard/ |
H A D | video_sync_test.cc | 62 int num_elements = end - start; local 63 int mean = std::accumulate(start, end, 0) / num_elements; 64 assert(num_elements > 1); 68 variance += (*start - mean) * (*start - mean) / (num_elements - 1);
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/external/tensorflow/tensorflow/contrib/slim/python/slim/ |
H A D | model_analyzer.py | 72 # if output.num_elements() is None or [] assume size 0. 73 output_size = output.get_shape().num_elements() or 0 100 # if var.num_elements() is None or [] assume size 0. 101 var_size = var.get_shape().num_elements() or 0
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