| /external/eigen/demos/mix_eigen_and_c/ |
| example.c | 15 struct C_MatrixXd *matrix1, *matrix2, *result; local
18 matrix1 = MatrixXd_new(3, 3);
19 MatrixXd_set_zero(matrix1);
20 MatrixXd_set_coeff(matrix1, 0, 1, 2.5);
21 MatrixXd_set_coeff(matrix1, 1, 0, 1.4);
22 printf("Here is matrix1:\n");
23 MatrixXd_print(matrix1);
26 MatrixXd_multiply(matrix1, matrix1, matrix2);
27 printf("Here is matrix1*matrix1:\n")
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| matrix_square_root_op_test.py | 50 def _makeBatch(self, matrix1, matrix2):
52 [np.expand_dims(matrix1, 0),
57 def _testMatrices(self, matrix1, matrix2):
59 self._verifySquareRootReal(matrix1)
61 self._verifySquareRootReal(self._makeBatch(matrix1, matrix2))
63 matrix1 = matrix1.astype(np.complex64)
65 matrix1 += 1j * matrix1
67 self._verifySquareRootComplex(matrix1)
[all...] |
| matrix_logarithm_op_test.py | 54 def _makeBatch(self, matrix1, matrix2):
56 [np.expand_dims(matrix1, 0),
64 matrix1 = np.array([[1., 2.], [3., 4.]])
66 matrix1 = matrix1.astype(np.complex64)
67 matrix1 += 1j * matrix1
70 self._verifyLogarithmComplex(matrix1)
73 self._verifyLogarithmComplex(self._makeBatch(matrix1, matrix2))
78 matrix1 = np.array([[2., 1.], [1., 2.]]
[all...] |
| matrix_inverse_op_test.py | 62 def _makeBatch(self, matrix1, matrix2):
64 [np.expand_dims(matrix1, 0),
71 matrix1 = np.array([[1., 2.], [3., 4.]])
73 self._verifyInverseReal(matrix1)
76 self._verifyInverseReal(self._makeBatch(matrix1, matrix2))
78 matrix1 = matrix1.astype(np.complex64)
79 matrix1 += 1j * matrix1
82 self._verifyInverseComplex(matrix1)
[all...] |
| matrix_exponential_op_test.py | 76 def _makeBatch(self, matrix1, matrix2):
78 [np.expand_dims(matrix1, 0),
85 matrix1 = np.array([[1., 2.], [3., 4.]])
87 self._verifyExponentialReal(matrix1)
90 self._verifyExponentialReal(self._makeBatch(matrix1, matrix2))
94 matrix1 = np.array([[1., 2.], [3., 4.]])
96 matrix1 = matrix1.astype(np.complex64)
97 matrix1 += 1j * matrix1
[all...] |
| cholesky_op_test.py | 187 matrix1 = random_ops.random_normal([5, 5], seed=42)
189 matrix1 = math_ops.matmul(matrix1, matrix1, adjoint_a=True)
191 c1 = linalg_ops.cholesky(matrix1)
|
| self_adjoint_eig_op_test.py | 59 matrix1 = random_ops.random_normal([5, 5], seed=42)
62 e1, v1 = linalg_ops.self_adjoint_eig(matrix1)
66 e1 = linalg_ops.self_adjoint_eigvals(matrix1)
|
| determinant_op_test.py | 158 matrix1 = random_ops.random_normal([5, 5], seed=42)
160 det1 = linalg_ops.matrix_determinant(matrix1)
|
| basic_gpu_test.py | 245 matrix1 = variables.Variable(
246 random_ops.truncated_normal([1024, 1]), name='matrix1')
249 x1 = math_ops.multiply(data, matrix1, name='x1')
250 x3 = math_ops.matmul(x1, math_ops.matmul(matrix2, matrix1))
|
| svd_op_test.py | 62 matrix1 = random_ops.random_normal([5, 5], seed=42)
66 matrix1, compute_uv=compute_uv_, full_matrices=full_matrices_)
72 matrix1, compute_uv=compute_uv_, full_matrices=full_matrices_)
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| lu_op_test.py | 219 matrix1 = random_ops.random_normal([5, 5], seed=42)
221 lu1, p1 = linalg_ops.lu(matrix1)
|
| qr_op_test.py | 62 matrix1 = random_ops.random_normal([rows_, cols_], seed=42)
64 q1, r1 = linalg_ops.qr(matrix1, full_matrices=full_matrices_)
|
| /external/webrtc/webrtc/modules/audio_coding/codecs/isac/fix/source/ |
| entropy_coding.h | 114 const int32_t matrix1[],
125 const int32_t matrix1[],
134 const int32_t matrix1[],
145 const int32_t matrix1[],
152 const int32_t matrix1[],
163 const int32_t matrix1[],
171 const int32_t matrix1[],
183 const int32_t matrix1[],
|
| entropy_coding_mips.c | 18 const int32_t matrix1[],
39 const int32_t* matrix1_start = matrix1;
50 "addu %[matrix1_start], %[matrix1], $0 \n\t"
91 : [product_step] "r" (product_step), [matrix1] "r" (matrix1),
109 const int32_t* matrix1_start = matrix1;
175 const int32_t matrix1[],
194 "addu %[matrix1_ptr], %[matrix1], $0 \n\t"
245 [matrix1] "r" (matrix1), [matrix0_step] "r" (matrix0_step)
[all...] |
| entropy_coding_neon.c | 26 const int32_t matrix1[],
63 vshlq_s32(vld1q_s32(&matrix1[matrix1_index]), shift32x4);
81 vshl_s32(vld1_s32(&matrix1[matrix1_index]), shift32x2);
102 int32x4_t matrix1_32x4 = vdupq_n_s32(matrix1[matrix1_index] << shift);
118 int32x2_t matrix1_32x2 = vdup_n_s32(matrix1[matrix1_index] << shift);
147 vshlq_s32(vld1q_s32(&matrix1[matrix1_index]), shift32x4);
158 vshl_s32(vld1_s32(&matrix1[matrix1_index]), shift32x2);
182 matrix1[matrix1_index] << shift));
194 const int32_t matrix1[],
208 int32x2_t matrix1_32x2 = vld1_s32(&matrix1[matrix1_index])
[all...] |
| entropy_coding.c | 825 matrix1[]: matrix1 data.
838 shift: Left shift value for matrix1.
841 const int32_t matrix1[],
868 matrix1[matrix1_index] << shift));
885 matrix1[]: A matrix in Q21 domain.
892 const int32_t matrix1[],
904 matrix1[matrix1_index]));
906 matrix1[matrix1_index + 1]));
[all...] |
| /cts/tests/inputmethod/src/android/view/inputmethod/cts/ |
| CursorAnchorInfoTest.java | 212 final Matrix matrix1 = new Matrix(); local
213 matrix1.setTranslate(10.0f, 20.0f);
271 new Builder().setMatrix(matrix1).setInsertionMarkerLocation(
274 new Builder().setMatrix(matrix1).setInsertionMarkerLocation(
280 new Builder().setMatrix(matrix1).build(),
281 new Builder().setMatrix(matrix1).build());
283 new Builder().setMatrix(matrix1).build(),
286 new Builder().setMatrix(matrix1).build(),
295 new Builder().setMatrix(matrix1).setInsertionMarkerLocation(
299 new Builder().setMatrix(matrix1).setInsertionMarkerLocation
370 final Matrix matrix1 = new Matrix(); local
[all...] |
| /external/robolectric-shadows/robolectric/src/test/java/org/robolectric/shadows/ |
| ShadowMatrixTest.java | 85 final Matrix matrix1 = new Matrix(); local
86 matrix1.setScale(1, 2);
90 matrix2.set(matrix1);
98 final Matrix matrix1 = new Matrix(); local
99 matrix1.setScale(1, 2);
102 matrix2.set(matrix1);
179 final Matrix matrix1 = new Matrix(); local
180 matrix1.postScale(2.0f, 2.0f);
181 matrix1.postTranslate(1.0f, 2.0f);
182 matrix1.postRotate(45.0f)
216 final Matrix matrix1 = new Matrix(); local
231 final Matrix matrix1 = new Matrix(); local
257 final Matrix matrix1 = new Matrix(); local
275 final Matrix matrix1 = new Matrix(); local
371 final Matrix matrix1 = new Matrix(); local
389 final Matrix matrix1 = new Matrix(); local
[all...] |
| ShadowOpenGLMatrixTest.java | 336 float[] matrix1 = new float[]{ local
356 Matrix.multiplyMM(output, 0, matrix1, 0, matrix2, 0);
|
| /external/tensorflow/tensorflow/contrib/stat_summarizer/python/ |
| stat_summarizer_test.py | 34 matrix1 = constant_op.constant([[3., 3.]], name=r"m1")
36 product = math_ops.matmul(matrix1, matrix2, name=r"product")
|
| /external/tensorflow/tensorflow/contrib/constrained_optimization/python/ |
| swap_regret_optimizer_test.py | 97 matrix1 = np.matrix([[0.6, 0.1, 0.1], [0.0, 0.6, 0.9], [0.4, 0.3, 0.0]])
103 standard_ops.constant(matrix1)))
108 # Check that eigenvector1 and eigenvector2 are eigenvectors of matrix1 and
110 matrix_eigenvector1 = np.tensordot(matrix1, eigenvector1, axes=1)
|
| /external/pdfium/core/fxge/agg/ |
| fx_agg_driver.cpp | 1344 CFX_Matrix matrix1; local
[all...] |
| /external/autotest/client/tests/iozone/ |
| postprocessing.py | 62 def compare_matrices(matrix1, matrix2, treshold=0.05):
66 @param matrix1: Reference Matrix with numeric data
77 for line1, line2 in zip(matrix1, matrix2):
|
| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| linear_operator_test.py | 279 matrix1 = array_ops.placeholder(shape=[2, 3], dtype=dtypes.float32)
283 operator1 = LinearOperatorMatmulSolve(matrix1, is_square=False)
|
| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| dot_operation_test.cc | 530 auto matrix1 = local
534 auto matrix12 = Dot(matrix1, matrix2);
535 auto matrix21 = Dot(matrix2, matrix1);
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