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/external/tensorflow/tensorflow/compiler/tests/
Dmatrix_triangular_solve_op_test.py69 a = np.tril(rng.randn(5, 5))
70 b = rng.randn(5, 7)
76 a = rng.randn(5, 5) # the `a` matrix is not lower-triangular
77 b = rng.randn(5, 7)
83 a = np.tril(rng.randn(5, 5) + rng.randn(5, 5) * 1j)
84 b = rng.randn(5, 7) + rng.randn(5, 7) * 1j
96 b = rng.randn(*b_shape)
104 b = rng.randn(n, n)
111 a = rng.randn(3, 4).astype(dtype)
112 b = rng.randn(4, 4).astype(dtype)
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/external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/
Dmcmc_diagnostics_test.py69 x_=rng.randn(5000).astype(np.float32),
81 x_=rng.randn(5000, 2).astype(np.float32),
98 x_=rng.randn(5000).astype(np.float32),
110 x_=rng.randn(5000, 2).astype(np.float32),
122 iid_x_ = rng.randn(5000, 1).astype(np.float32)
140 iid_x_ = rng.randn(5000, 1).astype(np.float32)
155 iid_x_ = rng.randn(5000, 1).astype(np.float32)
157 y_ = rng.randn(50000).astype(np.float32)
182 iid_x_ = rng.randn(500, 1).astype(np.float32)
209 iid_x_ = rng.randn(500, 1).astype(np.float32)
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/external/tensorflow/tensorflow/python/kernel_tests/
Dbetainc_op_test.py113 a_s = np.abs(np.random.randn(10, 10) * 30) # in (0, infty)
114 b_s = np.abs(np.random.randn(10, 10) * 30) # in (0, infty)
119 a_s = np.abs(np.random.randn(10, 10) * 30) # in (0, infty)
120 b_s = np.abs(np.random.randn(10, 10) * 30) # in (0, infty)
125 a_s = np.abs(np.random.randn(10, 10) * 1e15) # in (0, infty)
126 b_s = np.abs(np.random.randn(10, 10) * 1e15) # in (0, infty)
131 a_s = np.abs(np.random.randn(10, 10) * 1e-16) # in (0, infty)
132 b_s = np.abs(np.random.randn(10, 10) * 1e-16) # in (0, infty)
137 a_s = np.abs(np.random.randn(10, 10) * 1e-8) # in (0, infty)
138 b_s = np.abs(np.random.randn(10, 10) * 1e-8) # in (0, infty)
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Dstack_op_test.py49 data = np.random.randn(*shape).astype(dtype)
61 data = np.random.randn(*shape).astype(np.float32)
70 data = np.random.randn(*shape).astype(np.float32)
80 data = np.random.randn(*shape).astype(dtype)
103 data = np.random.randn(*shape).astype(np.float32)
109 data = np.random.randn(*shape).astype(np.float32)
117 data = np.random.randn(*shape).astype(np.float32)
123 data = np.random.randn(*shape).astype(np.float32)
130 data = np.random.randn(*shape)
142 data = np.random.randn(*shape)
Dcholesky_op_test.py241 data = np.random.randn(33, 33).astype(np.float32)
243 grad_data = np.random.randn(*data.shape).astype(np.float32)
263 data = np.random.randn(shape[0], shape[1])
266 data += 1j * np.random.randn(shape[0], shape[1])
272 data = np.random.randn()
275 data += 1j * np.random.randn()
278 np.random.randn(shape[0], shape[1]), dtype)
366 np.random.randn(*matrix.shape).astype(np.float32))
Dunstack_op_test.py49 data = np.random.randn(*shape).astype(dtype)
66 data = np.random.randn(*shape).astype(dtype)
78 data = np.random.randn(*shape)
90 data = np.random.randn(*shape)
Dargmax_op_test.py58 x = np.asarray(100 * np.random.randn(200), dtype=dtype)
65 x = np.asarray(100 * np.random.randn(3, 2, 4, 5, 6), dtype=dtype)
77 x = np.asarray(100 * np.random.randn(200), dtype=np.float32)
Dsparse_add_op_test.py54 x = np.random.randn(n, m).astype(np_dtype)
162 rand_vals_np = np.random.randn(n, m).astype(dtype)
163 dense_np = np.random.randn(n, m).astype(dtype)
181 rand_vals_np = np.random.randn(n, m).astype(np.float32)
182 dense_np = np.random.randn(n, m).astype(np.float32)
Dbias_op_test.py211 self._testAll(np.random.randn(*shape), np.random.randn(shape[-1]))
217 np.random.randn(*shape),
218 np.random.randn(shape[-1]), dtypes.float64, data_format, use_gpu)
Dwhere_op_test.py95 x = np.random.randn(*shape) + 1j * np.random.randn(*shape)
96 x = (np.random.randn(*shape) > 0).astype(dtype)
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
Dsample_stats_test.py113 x = rng.randn(2, 3, 4).astype(self.dtype)
115 x = 1j * rng.randn(2, 3, 4).astype(self.dtype)
120 x = rng.randn(3, 4, 5).astype(self.dtype)
122 x = 1j * rng.randn(3, 4, 5).astype(self.dtype)
127 x = rng.randn(2, 3, 4).astype(self.dtype)
129 x = 1j * rng.randn(2, 3, 4).astype(self.dtype)
134 x = rng.randn(3, 4, 5).astype(self.dtype)
136 x = 1j * rng.randn(3, 4, 5).astype(self.dtype)
141 x = rng.randn(3, 4, 5).astype(self.dtype)
143 x = 1j * rng.randn(3, 4, 5).astype(self.dtype)
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Dvector_sinh_arcsinh_diag_test.py37 loc = rng.randn(d)
50 x = rng.randn(5, d)
67 loc = rng.randn(d)
81 x = rng.randn(5, d)
98 loc = rng.randn(d)
143 loc = rng.randn(d)
188 loc = rng.randn(d)
208 skewness=rng.randn(d) * 0.5,
235 skewness=rng.randn(d) * 0.5,
Dsinh_arcsinh_test.py36 loc = rng.randn(b)
47 x = rng.randn(5, b)
80 loc = rng.randn(b)
92 x = rng.randn(5, b)
108 loc = 0.1 * rng.randn(batch_size)
192 loc = rng.randn(batch_size)
Dmixture_test.py407 np.random.randn(3, 4).astype(np.float32)
434 np.random.randn(2, 2, 3).astype(np.float32)
460 np.random.randn(2, 3).astype(np.float32),
461 np.random.randn(4, 2, 3).astype(np.float32)
488 np.random.randn(2, 3, 4).astype(np.float32),
489 np.random.randn(4, 2, 3, 4).astype(np.float32)
728 np.array(np.random.randn()).astype(np.float32)
775 np.random.randn(batch_size).astype(np.float32)
854 logits=np.random.randn(batch_size, num_components))
856 variables.Variable(np.random.randn(batch_size, num_features))
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/
Dreshape_test.py53 expected_x = np.random.randn(4, 3, 2)
102 expected_x = np.random.randn(4, 3, 1)
105 expected_x_scalar = np.random.randn(1,)
159 x = np.random.randn(4, 3, 2)
177 x = np.random.randn(4, 3, 2)
193 x1 = np.random.randn(4, 2, 3)
194 x2 = np.random.randn(4, 1, 1, 5)
211 expected_x = np.random.randn(4, 6)
231 expected_x = np.random.randn(4, 2, 3)
249 expected_x = np.random.randn(4, 4)
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Dsoftplus_test.py54 x = 2 * rng.randn(2, 10)
63 x = 2 * rng.randn(2, 10)
82 x = 2 * rng.randn(2, 10)
Dpermute_test.py38 expected_x = np.random.randn(4, 2, 3)
78 x = np.random.randn(4, 2, 3)
/external/tensorflow/tensorflow/contrib/gan/python/eval/python/
Dclassifier_metrics_test.py294 test_pool_real_a = np.float32(np.random.randn(512, 256))
295 test_pool_gen_a = np.float32(np.random.randn(512, 256))
318 test_pool_reals.append(np.float32(np.random.randn(2048, 256) * i))
319 test_pool_gens.append(np.float32(np.random.randn(2048, 256) * i))
343 test_pool_real_a = np.float32(np.random.randn(512, 256))
344 test_pool_gen_a = np.float32(np.random.randn(512, 256))
/external/tensorflow/tensorflow/contrib/nn/python/ops/
Dscaled_softplus_test.py33 x = np.random.randn(3, 4).astype(np.float32)
34 x64 = np.random.randn(3, 4).astype(np.float64)
50 x_np = np.random.randn(*x_shape).astype(np.float32)
/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
Dregression_test.py36 weights = 10 * rng.randn(n_weights)
38 y += rng.randn(len(x)) * 0.05 + rng.normal(bias, 0.01)
/external/tensorflow/tensorflow/contrib/rnn/python/kernel_tests/
Dcore_rnn_test.py173 input_value = np.random.randn(batch_size, input_size)
206 input_value = np.random.randn(batch_size, input_size)
233 input_value = np.random.randn(batch_size, input_size)
329 input_value = np.random.randn(batch_size, input_size)
355 input_value = np.random.randn(batch_size, input_size)
387 input_value = np.random.randn(batch_size, input_size)
420 input_value = np.random.randn(batch_size, input_size)
479 input_value = np.random.randn(batch_size, input_size)
521 input_value = np.random.randn(batch_size, input_size)
576 input_value = np.random.randn(batch_size, input_size)
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/external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/
Ddecoder_test.py49 inputs = np.random.randn(max_time, batch_size,
52 inputs = np.random.randn(batch_size, max_time,
126 inputs = np.random.randn(batch_size, max_time,
/external/tensorflow/tensorflow/python/kernel_tests/distributions/
Dutil_test.py745 self._run_test(self._rng.randn(3, int(1*2/2)))
748 self._run_test(self._rng.randn(int(4*5/2)))
751 self._run_test(self._rng.randn(2, 3, int(3*4/2)))
754 self._run_test(self._rng.randn(2, 3, int(3*4/2)), use_deferred_shape=True)
757 self._run_test(self._rng.randn(2, 3, int(7*8/2)), use_deferred_shape=True)
760 self._run_test(self._rng.randn(2, 3, int(7*8/2)))
763 self._run_test(self._rng.randn(3, int(1*2/2)), upper=True)
766 self._run_test(self._rng.randn(int(4*5/2)), upper=True)
769 self._run_test(self._rng.randn(2, 2, int(3*4/2)), upper=True)
772 self._run_test(self._rng.randn(2, 2, int(3*4/2)),
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/external/tensorflow/tensorflow/python/kernel_tests/linalg/
Dlinear_operator_identity_test.py86 x = rng.randn(2, 3).astype(np.float16)
148 x = rng.randn(3, 3).astype(np.float32)
188 feed_dict = {x: rng.randn(1, 2, 3, 4)}
342 x = rng.randn(2, 3).astype(np.float16)
355 x = rng.randn(3, 3).astype(np.float32)
/external/tensorflow/tensorflow/python/ops/
Dnn_test.py82 x_np = np.random.randn(*x_shape).astype(np.float32)
107 x_np = np.random.randn(*x_shape).astype(np.float64)
129 x_np = np.random.randn(*x_shape).astype(np.float32)
143 x_np = np.random.randn(*x_shape).astype(np.float64)
170 x_np = np.random.randn(*x_shape).astype(np.float32)
192 x_np = np.random.randn(*x_shape).astype(np.float64)
493 weights = np.random.randn(num_classes, dim).astype(np.float32)
494 biases = np.random.randn(num_classes).astype(np.float32)
495 hidden_acts = np.random.randn(batch_size, dim).astype(np.float32)
860 x = np.random.randn(3, 4).astype(np.float32)
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