| /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")
[all...] |
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| matrix_exponential_op_test.py | 72 def _makeBatch(self, matrix1, matrix2):
74 [np.expand_dims(matrix1, 0),
81 matrix1 = np.array([[1., 2.], [3., 4.]])
83 self._verifyExponentialReal(matrix1)
86 self._verifyExponentialReal(self._makeBatch(matrix1, matrix2))
88 matrix1 = matrix1.astype(np.complex64)
89 matrix1 += 1j * matrix1
92 self._verifyExponentialComplex(matrix1)
[all...] |
| matrix_logarithm_op_test.py | 51 def _makeBatch(self, matrix1, matrix2):
53 [np.expand_dims(matrix1, 0),
60 matrix1 = np.array([[1., 2.], [3., 4.]])
62 matrix1 = matrix1.astype(np.complex64)
63 matrix1 += 1j * matrix1
66 self._verifyLogarithmComplex(matrix1)
69 self._verifyLogarithmComplex(self._makeBatch(matrix1, matrix2))
73 matrix1 = np.array([[2., 1.], [1., 2.]]
[all...] |
| matrix_inverse_op_test.py | 60 def _makeBatch(self, matrix1, matrix2):
62 [np.expand_dims(matrix1, 0),
69 matrix1 = np.array([[1., 2.], [3., 4.]])
71 self._verifyInverseReal(matrix1)
74 self._verifyInverseReal(self._makeBatch(matrix1, matrix2))
76 matrix1 = matrix1.astype(np.complex64)
77 matrix1 += 1j * matrix1
80 self._verifyInverseComplex(matrix1)
[all...] |
| cholesky_op_test.py | 179 matrix1 = random_ops.random_normal([5, 5], seed=42)
181 matrix1 = math_ops.matmul(matrix1, matrix1, adjoint_a=True)
183 c1 = linalg_ops.cholesky(matrix1)
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| self_adjoint_eig_op_test.py | 56 matrix1 = random_ops.random_normal([5, 5], seed=42)
59 e1, v1 = linalg_ops.self_adjoint_eig(matrix1)
63 e1 = linalg_ops.self_adjoint_eigvals(matrix1)
|
| svd_op_test.py | 57 matrix1 = random_ops.random_normal([5, 5], seed=42)
61 matrix1, compute_uv=compute_uv_, full_matrices=full_matrices_)
67 matrix1, compute_uv=compute_uv_, full_matrices=full_matrices_)
|
| determinant_op_test.py | 153 matrix1 = random_ops.random_normal([5, 5], seed=42)
155 det1 = linalg_ops.matrix_determinant(matrix1)
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| qr_op_test.py | 58 matrix1 = random_ops.random_normal([rows_, cols_], seed=42)
60 q1, r1 = linalg_ops.qr(matrix1, full_matrices=full_matrices_)
|
| basic_gpu_test.py | 243 matrix1 = variables.Variable(
244 random_ops.truncated_normal([1024, 1]), name='matrix1')
247 x1 = math_ops.multiply(data, matrix1, name='x1')
248 x3 = math_ops.matmul(x1, math_ops.matmul(matrix2, matrix1))
|
| /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...] |
| /external/robolectric-shadows/robolectric/src/test/java/org/robolectric/shadows/ |
| ShadowMatrixTest.java | 87 final Matrix matrix1 = new Matrix(); local
88 matrix1.setScale(1, 2);
92 matrix2.set(matrix1);
100 final Matrix matrix1 = new Matrix(); local
101 matrix1.setScale(1, 2);
104 matrix2.set(matrix1);
181 final Matrix matrix1 = new Matrix(); local
182 matrix1.postScale(2.0f, 2.0f);
183 matrix1.postTranslate(1.0f, 2.0f);
184 matrix1.postRotate(45.0f)
218 final Matrix matrix1 = new Matrix(); local
233 final Matrix matrix1 = new Matrix(); local
259 final Matrix matrix1 = new Matrix(); local
277 final Matrix matrix1 = new Matrix(); local
373 final Matrix matrix1 = new Matrix(); local
391 final Matrix matrix1 = new Matrix(); local
[all...] |
| ShadowOpenGLMatrixTest.java | 337 float[] matrix1 = new float[]{ local
357 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")
|
| /frameworks/ml/nn/runtime/test/ |
| TestTrivialModel.cpp | 33 const Matrix3x4 matrix1 = {{1.f, 2.f, 3.f, 4.f}, {5.f, 6.f, 7.f, 8.f}, {9.f, 10.f, 11.f, 12.f}}; member in class:__anon46144::TrivialTest
122 ASSERT_EQ(execution.setInput(0, matrix1, sizeof(Matrix3x4)), Result::NO_ERROR);
139 ASSERT_EQ(execution2.setInput(0, matrix1, sizeof(Matrix3x4)), Result::NO_ERROR);
150 ASSERT_EQ(execution3.setInput(0, matrix1, sizeof(Matrix3x4)), Result::NO_ERROR);
151 ASSERT_EQ(execution3.setInput(1, matrix1, sizeof(Matrix3x4)), Result::NO_ERROR);
182 ASSERT_EQ(execution.setInput(0, matrix1, sizeof(Matrix3x4)), Result::NO_ERROR);
214 ASSERT_EQ(execution.setInput(0, matrix1, sizeof(Matrix3x4)), Result::NO_ERROR);
|
| TestMemory.h | 42 const Matrix3x4 matrix1 = {{1.f, 2.f, 3.f, 4.f}, {5.f, 6.f, 7.f, 8.f}, {9.f, 10.f, 11.f, 12.f}}; member in namespace:__anon46138
|
| TestMemory.cpp | 85 ASSERT_EQ(execution2.setInput(0, matrix1, sizeof(Matrix3x4)), WrapperResult::NO_ERROR);
|
| TestMemoryInternal.cpp | 142 memcpy(inputData + offsetForMatrix1, matrix1, sizeof(Matrix3x4));
|
| /external/pdfium/core/fxge/agg/ |
| fx_agg_driver.cpp | 1344 CFX_Matrix matrix1; local
[all...] |
| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| dot_operation_test.cc | 473 auto matrix1 = builder.ConstantR2<float>({{1.0, 2.0}, {3.0, 4.0}}); local
475 auto matrix12 = builder.Dot(matrix1, matrix2);
476 auto matrix21 = builder.Dot(matrix2, matrix1);
|
| /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):
|
| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/ |
| d2d1helper.h | 466 D2D1FORCEINLINE D2D1_MATRIX_3X2_F operator*(const D2D1_MATRIX_3X2_F &matrix1, const D2D1_MATRIX_3X2_F &matrix2) {
468 r.SetProduct(*D2D1::Matrix3x2F::ReinterpretBaseType(&matrix1), *D2D1::Matrix3x2F::ReinterpretBaseType(&matrix2));
|
