| /external/webrtc/webrtc/modules/audio_processing/beamformer/ |
| complex_matrix.h | 30 ComplexMatrix(size_t num_rows, size_t num_columns)
31 : Matrix<complex<T> >(num_rows, num_columns) {}
33 ComplexMatrix(const complex<T>* data, size_t num_rows, size_t num_columns)
34 : Matrix<complex<T> >(data, num_rows, num_columns) {}
39 size_t size = this->num_rows() * this->num_columns();
54 size_t num_rows = this->num_rows(); local
56 this->SetNumColumns(num_rows);
62 RTC_CHECK_EQ(operand.num_rows(), this->num_columns());
63 RTC_CHECK_EQ(operand.num_columns(), this->num_rows());
[all...] |
| matrix_test_helpers.h | 32 EXPECT_EQ(expected.num_rows(), actual.num_rows());
37 for (size_t i = 0; i < expected.num_rows(); ++i) {
46 EXPECT_EQ(expected.num_rows(), actual.num_rows());
51 for (size_t i = 0; i < expected.num_rows(); ++i) {
61 EXPECT_EQ(expected.num_rows(), actual.num_rows());
66 for (size_t i = 0; i < expected.num_rows(); ++i) {
82 EXPECT_EQ(expected.num_rows(), actual.num_rows())
[all...] |
| matrix.h | 70 Matrix(size_t num_rows, size_t num_columns)
71 : num_rows_(num_rows), num_columns_(num_columns) {
78 Matrix(const T* data, size_t num_rows, size_t num_columns)
80 CopyFrom(data, num_rows, num_columns);
93 void CopyFrom(const T* const data, size_t num_rows, size_t num_columns) {
94 Resize(num_rows, num_columns);
100 size_t num_rows) {
101 Resize(1, num_rows);
109 void Resize(size_t num_rows, size_t num_columns) {
110 if (num_rows != num_rows_ || num_columns != num_columns_)
118 size_t num_rows() const { return num_rows_; } function in class:webrtc::Matrix
[all...] |
| /external/libmpeg2/decoder/ |
| impeg2d_deinterlace.h | 28 WORD32 num_rows);
|
| /external/libjpeg-turbo/simd/loongson/ |
| jcsample.h | 11 expand_right_edge(JSAMPARRAY image_data, int num_rows, JDIMENSION input_cols,
21 for (row = 0; row < num_rows; row++) {
|
| /external/libjpeg-turbo/simd/powerpc/ |
| jcsample.h | 11 expand_right_edge(JSAMPARRAY image_data, int num_rows, JDIMENSION input_cols,
21 for (row = 0; row < num_rows; row++) {
|
| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| linear_operator_zeros_test.py | 60 num_rows = shape[-1]
63 num_rows, batch_shape=batch_shape, dtype=dtype)
69 operator = linalg_lib.LinearOperatorZeros(num_rows=2)
75 operator = linalg_lib.LinearOperatorZeros(num_rows=2)
81 operator = linalg_lib.LinearOperatorZeros(num_rows=2)
86 linalg_lib.LinearOperatorZeros(num_rows=[2])
88 linalg_lib.LinearOperatorZeros(num_rows=2, num_columns=[2])
92 linalg_lib.LinearOperatorZeros(num_rows=2.)
94 linalg_lib.LinearOperatorZeros(num_rows=2, num_columns=2.)
98 linalg_lib.LinearOperatorZeros(num_rows=-2
[all...] |
| linear_operator_identity_test.py | 56 num_rows = shape[-1]
59 num_rows, batch_shape=batch_shape, dtype=dtype)
60 mat = linalg_ops.eye(num_rows, batch_shape=batch_shape, dtype=dtype)
67 operator = linalg_lib.LinearOperatorIdentity(num_rows=2)
73 operator = linalg_lib.LinearOperatorIdentity(num_rows=2)
79 operator = linalg_lib.LinearOperatorIdentity(num_rows=2)
87 num_rows=2, dtype=dtypes.float16)
94 linalg_lib.LinearOperatorIdentity(num_rows=[2])
98 linalg_lib.LinearOperatorIdentity(num_rows=2.)
102 linalg_lib.LinearOperatorIdentity(num_rows=-2
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| linalg_ops_impl.py | 33 def eye(num_rows,
43 name, default_name='eye', values=[num_rows, num_columns, batch_shape]):
46 num_columns = num_rows if num_columns is None else num_columns
49 if (isinstance(num_rows, ops.Tensor) or
51 diag_size = math_ops.minimum(num_rows, num_columns)
54 if not isinstance(num_rows, compat.integral_types) or not isinstance(
57 'num_rows and num_columns must be positive integer values.')
58 is_square = num_rows == num_columns
59 diag_size = np.minimum(num_rows, num_columns)
67 shape = array_ops.concat((batch_shape, [num_rows, num_columns]), axis=0
[all...] |
| /external/libjpeg-turbo/simd/ |
| jsimd.h | 36 JDIMENSION output_row, int num_rows);
39 JDIMENSION output_row, int num_rows);
42 JDIMENSION output_row, int num_rows);
45 JDIMENSION output_row, int num_rows);
48 JDIMENSION output_row, int num_rows);
51 JDIMENSION output_row, int num_rows);
54 JDIMENSION output_row, int num_rows);
59 JDIMENSION output_row, int num_rows);
62 JDIMENSION output_row, int num_rows);
65 JDIMENSION output_row, int num_rows);
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| lu_op_gpu.cu.cc | 40 int64 num_rows, const int* pivots, Scalar* permutation_indices) {
42 for (int i = 0; i < num_rows; ++i) {
49 for (int i = 0; i < num_rows; ++i) {
64 CudaLaunchConfig config, const int64 num_rows, const int* all_pivots,
67 // since this cheap O(num_rows) kernel always follows an O(num_rows^3)
71 num_rows, all_pivots + index * num_rows,
72 all_permutation_indices + index * num_rows);
92 const int64 num_rows = input.dim_size(input_rank - 2) variable
[all...] |
| lu_op.cc | 55 // LU decomposition for a square matrix takes roughly (2/3) * (num_rows)^3.
59 double num_rows = static_cast<double>(input_matrix_shape.dim_size(0)); local
60 double cost = (2 / 3.0) * MathUtil::IPow(num_rows, 3);
84 const int64 num_rows = input.dim_size(input_rank - 2); variable
87 input_matrix_shape.AppendShape({num_rows, num_cols});
94 permutation_shape.AddDim(num_rows);
110 if (num_rows == 0) {
115 auto shard = [this, &input, &num_rows, &num_cols, &outputs,
118 ComputeTensorSlice(context, i, input, num_rows, num_cols, outputs,
129 const Tensor& input, int64 num_rows, int64 num_cols
[all...] |
| topk_op.h | 33 const int64 num_rows, const int64 num_cols,
|
| /external/libjpeg-turbo/ |
| jdpostct.c | 138 JDIMENSION num_rows, max_rows; local
145 num_rows = 0;
147 in_row_groups_avail, post->buffer, &num_rows,
152 (int)num_rows);
153 *out_row_ctr += num_rows;
170 JDIMENSION old_next_row, num_rows; local
188 num_rows = post->next_row - old_next_row;
190 (JSAMPARRAY)NULL, (int)num_rows);
191 *out_row_ctr += num_rows;
213 JDIMENSION num_rows, max_rows local
[all...] |
| jdcolext.c | 33 int num_rows)
49 while (--num_rows >= 0) {
86 int num_rows)
92 while (--num_rows >= 0) {
117 int num_rows)
124 while (--num_rows >= 0) {
|
| jdcolor.c | 255 JDIMENSION input_row, JSAMPARRAY output_buf, int num_rows)
260 num_rows);
265 num_rows);
269 num_rows);
274 num_rows);
279 num_rows);
284 num_rows);
288 num_rows);
327 JDIMENSION input_row, JSAMPARRAY output_buf, int num_rows)
337 while (--num_rows >= 0)
[all...] |
| jccolor.c | 235 JSAMPIMAGE output_buf, JDIMENSION output_row, int num_rows)
240 num_rows);
245 num_rows);
249 num_rows);
254 num_rows);
259 num_rows);
264 num_rows);
268 num_rows);
283 JSAMPIMAGE output_buf, JDIMENSION output_row, int num_rows)
288 num_rows);
[all...] |
| jutils.c | 95 JSAMPARRAY output_array, int dest_row, int num_rows,
98 * num_rows rows are copied from input_array[source_row++]
110 for (row = num_rows; row > 0; row--) {
|
| jsimd.h | 24 JDIMENSION output_row, int num_rows);
27 JDIMENSION output_row, int num_rows);
30 JSAMPARRAY output_buf, int num_rows);
34 JSAMPARRAY output_buf, int num_rows);
37 int num_rows);
|
| /external/u-boot/include/ |
| key_matrix.h | 16 int num_rows; member in struct:key_matrix
|
| /external/tensorflow/tensorflow/core/ops/ |
| checkpoint_ops.cc | 49 .Attr("num_rows: int >= 0")
63 int64 num_rows;
64 TF_RETURN_IF_ERROR(c->GetAttr("num_rows", &num_rows));
68 c->set_output(0, c->Matrix(num_rows, num_cols));
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| checkpoint_ops_test.py | 143 num_rows=2,
158 num_rows=len(row_remapping),
173 num_rows=len(row_remapping),
188 num_rows=3,
200 num_rows = 7
201 initializing_values = [42] * num_rows * self.old_num_cols
205 row_remapping=[-1] * num_rows,
208 num_rows=num_rows,
212 np.reshape(initializing_values, (num_rows, self.old_num_cols))
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
| gemm_thunk.cc | 40 num_rows(matrix_num_rows),
46 int64 num_rows; member in struct:xla::gpu::__anon44406::MatrixDescriptor
70 auto k = lhs_matrix.transpose ? lhs_matrix.num_rows : lhs_matrix.num_cols;
75 lhs_transpose, rhs_transpose, output_matrix.num_rows,
77 lhs_data, /*leading dim of LHS=*/lhs_matrix.num_rows, rhs_data,
78 /*leading dim of RHS=*/rhs_matrix.num_rows, /*beta=*/beta,
79 &output_data, /*leading dim of output=*/output_matrix.num_rows)
83 int64 lhs_stride = lhs_matrix.num_rows * lhs_matrix.num_cols;
84 int64 rhs_stride = rhs_matrix.num_rows * rhs_matrix.num_cols;
85 int64 output_stride = output_matrix.num_rows * output_matrix.num_cols
[all...] |
| /external/webp/src/dec/ |
| alpha_dec.c | 106 // Decodes, unfilters and dequantizes *at least* 'num_rows' rows of alpha
110 static int ALPHDecode(VP8Decoder* const dec, int row, int num_rows) {
122 for (y = 0; y < num_rows; ++y) {
129 for (y = 0; y < num_rows; ++y) {
139 if (!VP8LDecodeAlphaImageStream(alph_dec, row + num_rows)) {
144 if (row + num_rows >= height) {
179 int row, int num_rows) {
185 if (row < 0 || num_rows <= 0 || row + num_rows > height) {
202 num_rows = height - row; // decode everything in one pas
[all...] |
| /external/libhevc/decoder/ |
| ihevcd_fmt_conv.c | 391 WORD32 num_rows, num_cols, src_strd, dst_strd; local
398 num_rows = ht;
404 for(i = 0; i < num_rows; i++)
415 num_rows = ht >> 1;
421 for(i = 0; i < num_rows; i++)
490 WORD32 num_rows, num_cols, src_strd, dst_strd; local
497 num_rows = ht;
503 for(i = 0; i < num_rows; i++)
514 num_rows = ht >> 1;
520 for(i = 0; i < num_rows; i++
603 WORD32 num_rows, num_cols, src_strd, dst_strd; local
[all...] |
