/external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/ |
D | synthetic_test.py | 55 n_samples = 100 58 n_samples=n_samples, noise=None, n_classes=n_classes) 60 self.assertTupleEqual(circ.data.shape, (n_samples, 2)) 61 self.assertTupleEqual(circ.target.shape, (n_samples,)) 74 n_samples=100, noise=noise, n_classes=2, seed=seed) 76 n_samples=100, noise=noise, n_classes=2, seed=seed) 81 n_samples=100, noise=noise, n_classes=2, seed=seed + 1) 88 n_samples=100, noise=noise / 2., n_classes=2, seed=seed) 104 n_samples = 100 107 spir = synthetic.spirals(n_samples=n_samples, noise=None, mode=mode) [all …]
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D | synthetic.py | 26 def circles(n_samples=100, argument 65 linspace = np.linspace(0, 2 * np.pi, n_samples // n_classes) 77 y = np.append(y, label * np.ones(n_samples // n_classes, dtype=np.int32)) 80 extras = n_samples % n_classes 90 indices = np.random.permutation(range(n_samples)) 96 def spirals(n_samples=100, argument 140 linspace = np.linspace(0, 2 * n_loops * np.pi, n_samples // n_classes) 149 y = np.append(y, label * np.ones(n_samples // n_classes, dtype=np.int32)) 152 extras = n_samples % n_classes 165 indices = np.random.permutation(range(n_samples))
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D | __init__.py | 76 def make_dataset(name, n_samples=100, noise=None, seed=42, *args, **kwargs): argument 110 n_samples=n_samples, noise=noise, seed=seed, *args, **kwargs)
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D | base.py | 45 n_samples = int(header[0]) 47 data = np.zeros((n_samples, n_features), dtype=features_dtype) 48 target = np.zeros((n_samples,), dtype=target_dtype)
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/external/strace/ |
D | ptp.c | 90 tprintf("{n_samples=%u", sysoff.n_samples); in ptp_ioctl() 93 unsigned int n_samples, i; in ptp_ioctl() local 107 n_samples = sysoff.n_samples > PTP_MAX_SAMPLES ? in ptp_ioctl() 108 PTP_MAX_SAMPLES : sysoff.n_samples; in ptp_ioctl() 109 for (i = 0; i < 2 * n_samples + 1; ++i) { in ptp_ioctl() 116 if (sysoff.n_samples > PTP_MAX_SAMPLES) in ptp_ioctl()
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/external/linux-kselftest/tools/testing/selftests/ptp/ |
D | testptp.c | 177 int n_samples = 0; in main() local 218 n_samples = atoi(optarg); in main() 481 if (n_samples <= 0 || n_samples > 25) { in main() 492 sysoff->n_samples = n_samples; in main() 500 for (i = 0; i < sysoff->n_samples; i++) { in main()
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/external/tensorflow/tensorflow/contrib/losses/python/metric_learning/ |
D | metric_loss_ops_test.py | 519 def _genClusters(self, n_samples, n_clusters): argument 521 n_samples=n_samples, centers=n_clusters) 532 embeddings, labels = self._genClusters(n_samples=128, n_clusters=64) 549 embeddings, labels = self._genClusters(n_samples=128, n_clusters=64)
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/external/deqp/external/openglcts/modules/gles31/ |
D | es31cTextureStorageMultisampleTexStorage3DMultisampleTests.cpp | 1257 for (glw::GLint n_samples = 1; n_samples <= max_supported_samples_value; n_samples++) in iterate() local 1265 GL_TEXTURE_2D_MULTISAMPLE_ARRAY_OES, n_samples, /* Iteration-specific sample value. */ in iterate()
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D | es31cTextureStorageMultisampleTexStorage2DMultisampleTests.cpp | 1286 for (int n_samples = 1; n_samples <= max_samples; ++n_samples) in iterate() local 1288 gl.texStorage2DMultisample(GL_TEXTURE_2D_MULTISAMPLE, n_samples, internalformat, 1, /* width */ in iterate()
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/external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
D | mcmc_diagnostics_test.py | 254 n_samples = 1000 257 state_0 = rng.randn(n_samples, 2) 263 state_1 = rng.randn(n_samples, 3, 4) + offset
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
D | quantized_distribution_test.py | 229 n_samples = 10000 230 stddev_err_bound = 1 / (2 * np.sqrt(n_samples)) 231 samps = qdist.sample((n_samples,), seed=42).eval()
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/external/kernel-headers/original/uapi/linux/ |
D | ptp_clock.h | 77 unsigned int n_samples; /* Desired number of measurements. */ member
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/external/deqp/external/openglcts/modules/gl/ |
D | gl4cTextureViewTests.hpp | 522 unsigned int n_samples; member 546 n_samples = in_n_samples; in _reference_color_storage() 583 unsigned int n_samples);
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D | gl4cTextureViewTests.cpp | 4786 DE_ASSERT(n_sample < m_reference_color_storage->n_samples); in getReferenceColor() 4793 m_reference_color_storage->n_samples) + in getReferenceColor() 4794 n_face * (m_reference_color_storage->n_mipmaps * m_reference_color_storage->n_samples) + in getReferenceColor() 4795 n_mipmap * (m_reference_color_storage->n_samples) + n_sample; in getReferenceColor() 5680 const unsigned int n_samples = in initParentTextureContents() local 5683 for (unsigned int n_sample = 0; n_sample < n_samples; ++n_sample) in initParentTextureContents() 5696 gl.uniform4fv(m_per_sample_filler_po_reference_colors_location, n_samples, reference_colors); in initParentTextureContents() 6392 unsigned int n_mipmaps, unsigned int n_samples) in resetReferenceColorStorage() argument 6398 DE_ASSERT(n_samples >= 1); in resetReferenceColorStorage() 6404 m_reference_color_storage = new _reference_color_storage(n_faces, n_layers, n_mipmaps, n_samples); in resetReferenceColorStorage() [all …]
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D | gl4cCopyImageTests.cpp | 108 …::GLuint prepareMultisampleTex(deqp::Context& context, glw::GLenum target, glw::GLsizei n_samples); 1277 GLuint Utils::prepareMultisampleTex(deqp::Context& context, GLenum target, GLsizei n_samples) in prepareMultisampleTex() argument 1296 …gl.texImage2DMultisample(target, n_samples, internal_format, width, height, GL_FALSE /* fixedsampl… in prepareMultisampleTex() 1305 gl.texImage3DMultisample(target, n_samples, internal_format, width, height, depth, in prepareMultisampleTex() 4839 static const GLsizei n_samples[2] = { 1, 4 }; in SamplesMissMatchTest() local 4852 test_case.m_src_n_samples = n_samples[src_sample]; in SamplesMissMatchTest() 4854 test_case.m_dst_n_samples = n_samples[dst_sample]; in SamplesMissMatchTest()
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/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/ |
D | training_test.py | 879 n_samples = 50 881 batch_index = np.random.randint(0, n_samples - batch_size) 960 n_samples = 50 962 batch_index = np.random.randint(0, n_samples - batch_size)
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/external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/ |
D | attention_wrapper_test.py | 534 n_samples = 100000 536 [sample(p_choose_i) for _ in range(n_samples)], axis=0)
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