| /external/eigen/doc/snippets/ |
| MatrixBase_operatorNorm.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 cout << "The operator norm of the 3x3 matrix of ones is "
3 << ones.operatorNorm() << endl;
|
| SelfAdjointView_operatorNorm.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 cout << "The operator norm of the 3x3 matrix of ones is "
3 << ones.selfadjointView<Lower>().operatorNorm() << endl;
|
| ComplexEigenSolver_eigenvalues.cpp | 1 MatrixXcf ones = MatrixXcf::Ones(3,3); variable
2 ComplexEigenSolver<MatrixXcf> ces(ones, /* computeEigenvectors = */ false);
3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
|
| ComplexEigenSolver_eigenvectors.cpp | 1 MatrixXcf ones = MatrixXcf::Ones(3,3); variable
2 ComplexEigenSolver<MatrixXcf> ces(ones);
3 cout << "The first eigenvector of the 3x3 matrix of ones is:"
|
| EigenSolver_eigenvalues.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 EigenSolver<MatrixXd> es(ones, false);
3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
|
| EigenSolver_eigenvectors.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 EigenSolver<MatrixXd> es(ones);
3 cout << "The first eigenvector of the 3x3 matrix of ones is:"
|
| MatrixBase_eigenvalues.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 VectorXcd eivals = ones.eigenvalues();
3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl;
|
| SelfAdjointEigenSolver_eigenvalues.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 SelfAdjointEigenSolver<MatrixXd> es(ones);
3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
|
| SelfAdjointEigenSolver_eigenvectors.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 SelfAdjointEigenSolver<MatrixXd> es(ones);
3 cout << "The first eigenvector of the 3x3 matrix of ones is:"
|
| SelfAdjointView_eigenvalues.cpp | 1 MatrixXd ones = MatrixXd::Ones(3,3); variable
2 VectorXd eivals = ones.selfadjointView<Lower>().eigenvalues();
3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl;
|
| /external/llvm/test/MC/X86/ |
| pr28547.s | 3 ones: label
5 vmovaps xmm15, xmmword ptr [rip+ones] # +1.0, +1.0, +1.0, +1.0
|
| /external/mesa3d/src/util/ |
| u_atomic_test.c | 46 #define test_atomic_assign(type, ones) \
50 p_atomic_set(&v, ones); \
51 assert(v == ones && "p_atomic_set"); \
54 assert(r == ones && "p_atomic_read"); \
56 v = ones; \
58 assert(v == ones && "p_atomic_cmpxchg"); \
59 assert(r == ones && "p_atomic_cmpxchg"); \
60 r = p_atomic_cmpxchg(&v, ones, 0); \
62 assert(r == ones && "p_atomic_cmpxchg"); \
69 #define test_atomic_8bits(type, ones) \
[all...] |
| /toolchain/binutils/binutils-2.27/ld/testsuite/ld-mips-elf/ |
| tls-multi-got-1-2.s | 10 .irp ones,0,1,2,3,4,5,6,7,8,9
11 one_sym \thou\hund\tens\ones
|
| multi-got-no-shared-1.s | 22 .irp ones,0,1,2,3,4,5,6,7,8,9
23 one_sym \thou\hund\tens\ones
|
| multi-got-no-shared-2.s | 20 .irp ones,0,1,2,3,4,5,6,7,8,9
21 one_sym \thou\hund\tens\ones
|
| tls-multi-got-1-1.s | 10 .irp ones,0,1,2,3,4,5,6,7,8,9
11 one_sym \thou\hund\tens\ones
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
| generator_io_test.py | 36 'a': np.ones(1) * index,
37 'b': np.ones(1) * index + 32,
38 'label': np.ones(1) * index - 32
69 yield {'a': np.ones(1) * index}
94 'a': np.ones(1) * index,
95 'b': np.ones(1) * index + 32,
96 'label': np.ones(1) * index - 32,
97 'label2': np.ones(1) * index - 64,
132 'a': np.ones((10, 10)) * index,
133 'b': np.ones((5, 5)) * index + 32
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/ |
| random_test.cc | 30 double ones = 0; local
35 ones += (n == 1) ? 1 : 0;
49 EXPECT_NEAR(ones / num_bootstrap, expected_p, 3 * proportion_std_error);
|
| /external/libvpx/libvpx/vpx_dsp/mips/ |
| loopfilter_masks_dspr2.h | 35 uint32_t ones = 0xFFFFFFFF; local
105 "pick.qb %[hev1], %[ones], $0 \n\t"
117 "pick.qb %[s2], $0, %[ones] \n\t"
122 [ones] "r"(ones), [flimit] "r"(flimit));
134 uint32_t ones = 0xFFFFFFFF; local
212 "pick.qb %[flat1], $0, %[ones] \n\t"
233 [thresh] "r"(thresh), [flat_thresh] "r"(flat_thresh), [ones] "r"(ones));
245 "pick.qb %[hev1], %[ones], $0 \n\t
273 uint32_t ones = 0xFFFFFFFF; local
[all...] |
| /toolchain/binutils/binutils-2.27/ld/testsuite/ld-spu/ |
| ear.s | 20 #new ones don't need to be 16 bytes apart
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
| losses_test.py | 38 labels_positive = array_ops.ones([10, 1], dtypes.float32)
39 weights = array_ops.ones([10, 1], dtypes.float32)
61 self.assertAllClose(np.exp(np.ones([2, 1])), pos_loss[:2], atol=1e-4)
62 self.assertAllClose(np.exp(-np.ones([2, 1])), neg_loss[:2], atol=1e-4)
67 self.assertAllClose(np.exp(-np.ones([4, 1])), pos_loss[6:10], atol=1e-4)
68 self.assertAllClose(np.exp(np.ones([4, 1])), neg_loss[6:10], atol=1e-4)
83 weights = array_ops.ones([5, 1], dtypes.float32)
|
| /external/tensorflow/tensorflow/python/estimator/inputs/queues/ |
| feeding_functions_test.py | 294 a = (np.ones(shape=[32, 32], dtype=np.int32).tolist() +
295 np.ones(shape=[32, 36], dtype=np.int32).tolist())
296 actual = np.ones(shape=[64, 36], dtype=np.int32)
298 expected = np.ones(shape=[64, 36], dtype=np.int32)
303 a = (np.ones(shape=[8, 8, 8, 8, 32], dtype=np.int32).tolist() +
304 np.ones(shape=[8, 8, 8, 8, 36], dtype=np.int32).tolist())
305 actual = np.ones(shape=[16, 8, 8, 8, 36], dtype=np.int32)
307 expected = np.ones(shape=[16, 8, 8, 8, 36], dtype=np.int32)
313 a = (np.ones(shape=[32, 32], dtype=np.int32).tolist() +
314 np.ones(shape=[32, 36], dtype=np.int32).tolist()
[all...] |
| /toolchain/binutils/binutils-2.27/gas/testsuite/gas/bfin/ |
| bit.s | 51 .global ones
52 ones: label
53 R5.l = ones r0;
54 r7.L = Ones R2;
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| reduction_ops_test_big.py | 52 arr_ = np.ones([4097, 4097], dtype=np.float32)
62 col_sum = np.ones([size_y], dtype=np.float32) * size_x
63 row_sum = np.ones([size_x], dtype=np.float32) * size_y
64 full_sum = np.ones([], dtype=np.float32) * size_x * size_y
76 arr_ = np.ones([130, 130, 130], dtype=np.float32)
81 sum_y = np.ones([size_x, size_z], dtype=np.float32)
82 sum_xz = np.ones([size_y], dtype=np.float32)
138 arr_ = np.ones([4097, 4097], dtype=np.bool)
148 col_sum = np.ones([size_y], dtype=np.bool)
149 row_sum = np.ones([size_x], dtype=np.bool
[all...] |
| /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
| gru_test.py | 101 out1 = model.predict(np.ones((num_samples, timesteps)))
106 np.ones((num_samples, timesteps)), np.ones((num_samples, units)))
107 out2 = model.predict(np.ones((num_samples, timesteps)))
115 out3 = model.predict(np.ones((num_samples, timesteps)))
120 out4 = model.predict(np.ones((num_samples, timesteps)))
124 out5 = model.predict(np.ones((num_samples, timesteps)))
130 left_padded_input = np.ones((num_samples, timesteps))
137 right_padded_input = np.ones((num_samples, timesteps))
160 x = keras.backend.variable(np.ones((2, 3, 2))
[all...] |
