| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | model_subclassing_compiled_test.py | 43 num_samples = 100
55 x = np.ones((num_samples, input_dim))
56 y = np.zeros((num_samples, num_classes))
63 num_samples = 1000
75 x1 = np.ones((num_samples, input_dim))
76 x2 = np.ones((num_samples, input_dim))
77 y1 = np.zeros((num_samples, num_classes[0]))
78 y2 = np.zeros((num_samples, num_classes[1]))
85 num_samples = 10
97 x = np.ones((num_samples, input_dim), dtype=np.float32)
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | lstm_test.py | 38 num_samples = 2
46 input_shape=(num_samples, timesteps, embedding_dim))
50 num_samples = 2
59 input_shape=(num_samples, timesteps, embedding_dim),
78 num_samples = 2
91 x = np.random.random((num_samples, timesteps, embedding_dim))
92 y = np.random.random((num_samples, units))
96 num_samples = 2
105 input_shape=(num_samples, timesteps, embedding_dim))
114 num_samples = 2
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| D | gru_test.py | 38 num_samples = 2
46 input_shape=(num_samples, timesteps, embedding_dim))
50 num_samples = 2
59 input_shape=(num_samples, timesteps, embedding_dim),
63 num_samples = 2
75 x = np.random.random((num_samples, timesteps, embedding_dim))
76 y = np.random.random((num_samples, units))
80 num_samples = 2
89 input_shape=(num_samples, timesteps, embedding_dim))
98 num_samples = 2
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| D | simplernn_test.py | 37 num_samples = 2
45 input_shape=(num_samples, timesteps, embedding_dim))
49 num_samples = 2
58 input_shape=(num_samples, timesteps, embedding_dim),
62 num_samples = 2
70 x = np.random.random((num_samples, timesteps, embedding_dim))
71 y = np.random.random((num_samples, units))
75 num_samples = 2
84 input_shape=(num_samples, timesteps, embedding_dim))
87 num_samples = 2
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| D | cudnn_recurrent_test.py | 49 num_samples = 32
54 input_shape=(num_samples, timesteps, input_size))
65 num_samples = 32
70 input_shape=(num_samples, timesteps, input_size))
81 num_samples = 32
84 inputs = keras.Input(batch_shape=(num_samples, timesteps, input_size))
93 inputs = np.random.random((num_samples, timesteps, input_size))
107 num_samples = 32
119 np.ones((num_samples, timesteps, input_size)),
120 np.ones((num_samples, timesteps, units)))
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| D | local_test.py | 89 num_samples = 2
114 input_shape=(num_samples, num_steps, input_dim))
119 num_samples = 2
140 layer.build((num_samples, num_steps, input_dim))
144 np.ones((num_samples, num_steps, input_dim))))
157 layer.build((num_samples, num_steps, input_dim))
168 num_samples = 8
196 input_shape=(num_samples, num_row, num_col, stack_size))
202 num_samples = 8
221 input_shape=(num_samples, num_row, num_col, stack_size))
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| D | convolutional_test.py | 36 num_samples = 2
44 input_shape=(num_samples, length, stack_size),
103 num_samples = 2
112 input_shape=(num_samples, num_row, num_col, stack_size),
172 num_samples = 2
182 input_shape=(num_samples, depth, num_row, num_col, stack_size),
325 num_samples = 2
328 shape = (num_samples, num_steps, input_dim)
375 num_samples = 2
380 inputs = np.ones((num_samples, input_num_row, input_num_col, stack_size))
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| D | lstm_v2_test.py | 107 num_samples = 2
115 x = np.random.random((num_samples, timesteps, embedding_dim))
116 y = np.random.random((num_samples, units))
143 num_samples = 2
162 inputs = np.random.random((num_samples, timesteps, embedding_dim))
164 np.random.random((num_samples, units)) for _ in range(num_states)
166 targets = np.random.random((num_samples, units))
174 num_samples = 2
179 keras.backend.random_normal_variable((num_samples, units), 0, 1)
190 inputs = np.random.random((num_samples, timesteps, embedding_dim))
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| /external/webrtc/webrtc/common_audio/ |
| D | wav_file.cc | 45 << (1.f * num_samples()) / (num_channels() * sample_rate()) << " s"; in FormatAsString()
67 size_t WavReader::ReadSamples(size_t num_samples, int16_t* samples) { in ReadSamples() argument
72 num_samples = std::min(num_samples, num_samples_remaining_); in ReadSamples()
74 fread(samples, sizeof(*samples), num_samples, file_handle_); in ReadSamples()
76 RTC_CHECK(read == num_samples || feof(file_handle_)); in ReadSamples()
82 size_t WavReader::ReadSamples(size_t num_samples, float* samples) { in ReadSamples() argument
85 for (size_t i = 0; i < num_samples; i += kChunksize) { in ReadSamples()
87 size_t chunk = std::min(kChunksize, num_samples - i); in ReadSamples()
121 void WavWriter::WriteSamples(const int16_t* samples, size_t num_samples) { in WriteSamples() argument
126 fwrite(samples, sizeof(*samples), num_samples, file_handle_); in WriteSamples()
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| D | wav_header_unittest.cc | 98 size_t num_samples = 0; in TEST() local
123 &bytes_per_sample, &num_samples)); in TEST()
144 &bytes_per_sample, &num_samples)); in TEST()
165 &bytes_per_sample, &num_samples)); in TEST()
187 &bytes_per_sample, &num_samples)); in TEST()
210 &bytes_per_sample, &num_samples)); in TEST()
229 &bytes_per_sample, &num_samples)); in TEST()
241 &bytes_per_sample, &num_samples)); in TEST()
275 size_t num_samples = 0; in TEST() local
279 &bytes_per_sample, &num_samples)); in TEST()
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| D | wav_file.h | 31 virtual size_t num_samples() const = 0;
50 void WriteSamples(const float* samples, size_t num_samples);
51 void WriteSamples(const int16_t* samples, size_t num_samples);
55 size_t num_samples() const override { return num_samples_; } in num_samples() function
78 size_t ReadSamples(size_t num_samples, float* samples);
79 size_t ReadSamples(size_t num_samples, int16_t* samples);
83 size_t num_samples() const override { return num_samples_; } in num_samples() function
109 size_t num_samples);
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| D | wav_header.cc | 66 size_t num_samples) { in CheckWavParameters() argument
104 if (num_samples > max_samples) in CheckWavParameters()
108 if (num_samples % num_channels != 0) in CheckWavParameters()
153 size_t num_samples) { in WriteWavHeader() argument
155 bytes_per_sample, num_samples)); in WriteWavHeader()
158 const size_t bytes_in_payload = bytes_per_sample * num_samples; in WriteWavHeader()
188 size_t* num_samples) { in ReadWavHeader() argument
217 *num_samples = bytes_in_payload / *bytes_per_sample; in ReadWavHeader()
239 *bytes_per_sample, *num_samples); in ReadWavHeader()
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| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| D | multinomial_op_test.py | 40 def composed_sampler(logits, num_samples): argument
43 tensor_shape.TensorShape([num_samples])))
64 num_samples = 1000
66 logits, num_samples, output_dtype=output_dtype))
67 self.assertAllEqual([[1] * num_samples, [2] * num_samples], samples)
112 num_samples = 21000
122 composed_freqs = self._do_sampling(logits, num_samples, composed_sampler)
123 native_freqs = self._do_sampling(logits, num_samples, native_sampler)
138 def _make_ops(self, num_samples, seed=None): argument
142 sample_op1 = random_ops.multinomial(logits, num_samples, seed)
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| /external/webrtc/webrtc/modules/audio_coding/neteq/ |
| D | statistics_calculator.cc | 143 void StatisticsCalculator::ExpandedVoiceSamples(size_t num_samples) { in ExpandedVoiceSamples() argument
144 expanded_speech_samples_ += num_samples; in ExpandedVoiceSamples()
147 void StatisticsCalculator::ExpandedNoiseSamples(size_t num_samples) { in ExpandedNoiseSamples() argument
148 expanded_noise_samples_ += num_samples; in ExpandedNoiseSamples()
151 void StatisticsCalculator::PreemptiveExpandedSamples(size_t num_samples) { in PreemptiveExpandedSamples() argument
152 preemptive_samples_ += num_samples; in PreemptiveExpandedSamples()
155 void StatisticsCalculator::AcceleratedSamples(size_t num_samples) { in AcceleratedSamples() argument
156 accelerate_samples_ += num_samples; in AcceleratedSamples()
159 void StatisticsCalculator::AddZeros(size_t num_samples) { in AddZeros() argument
160 added_zero_samples_ += num_samples; in AddZeros()
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| D | statistics_calculator.h | 42 void ExpandedVoiceSamples(size_t num_samples);
46 void ExpandedNoiseSamples(size_t num_samples);
50 void PreemptiveExpandedSamples(size_t num_samples);
53 void AcceleratedSamples(size_t num_samples);
56 void AddZeros(size_t num_samples);
62 void LostSamples(size_t num_samples);
67 void IncreaseCounter(size_t num_samples, int fs_hz);
73 void SecondaryDecodedSamples(int num_samples);
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| /external/igt-gpu-tools/overlay/ |
| D | chart.c | 34 int chart_init(struct chart *chart, const char *name, int num_samples) in chart_init() argument
38 chart->samples = malloc(sizeof(*chart->samples)*num_samples); in chart_init()
42 chart->num_samples = num_samples; in chart_init()
102 if (max > chart->num_samples) in chart_get_range()
103 max = chart->num_samples; in chart_get_range()
116 if (chart->num_samples == 0) in chart_add_sample()
119 pos = chart->current_sample++ % chart->num_samples; in chart_add_sample()
126 if (max > chart->num_samples) in chart_update_range()
127 max = chart->num_samples; in chart_update_range()
141 if (n < chart->current_sample - chart->num_samples) in value_at()
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| /external/libxaac/decoder/ |
| D | ixheaacd_mps_hybrid_filt.c | 52 WORD32 num_samples, const WORD32 *filt_coeff) in ixheaacd_mps_hyb_filt_type1() argument
65 for (i = 0; i < num_samples; i++) { in ixheaacd_mps_hyb_filt_type1()
114 WORD32 num_samples, const WORD32 *filt_coeff) in ixheaacd_mps_hyb_filt_type2() argument
127 for (i = 0; i < num_samples; i++) { in ixheaacd_mps_hyb_filt_type2()
179 WORD32 num_bands, WORD32 num_samples, in ixheaacd_mps_qmf_hybrid_analysis() argument
188 lf_samples_shift = BUFFER_LEN_LF_MPS - num_samples; in ixheaacd_mps_qmf_hybrid_analysis()
189 hf_samples_shift = BUFFER_LEN_HF_MPS - num_samples; in ixheaacd_mps_qmf_hybrid_analysis()
195 handle->lf_buffer[k][n].re = handle->lf_buffer[k][n + num_samples].re; in ixheaacd_mps_qmf_hybrid_analysis()
196 handle->lf_buffer[k][n].im = handle->lf_buffer[k][n + num_samples].im; in ixheaacd_mps_qmf_hybrid_analysis()
201 for (n = 0; n < num_samples; n++) { in ixheaacd_mps_qmf_hybrid_analysis()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | random_poisson_op.cc | 74 int num_rate, int num_samples,
81 int num_rate, int num_samples, in operator ()()
106 auto DoWork = [num_samples, num_rate, &rng, samples_flat, rate_flat]( in operator ()()
116 const int64 rate_idx = output_idx / num_samples; in operator ()()
135 for (int64 sample_idx = output_idx % num_samples; in operator ()()
136 sample_idx < num_samples && output_idx < limit_output; in operator ()()
197 for (int64 sample_idx = output_idx % num_samples; in operator ()()
198 sample_idx < num_samples && output_idx < limit_output; in operator ()()
270 num_rate * num_samples, kElementCost, DoWork); in operator ()()
295 const int64 num_samples = samples_shape.num_elements(); in Compute() local
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| D | multinomial_op_gpu.cu.cc | 48 const int32 num_samples, in MultinomialKernel() argument
69 int num_classes, int num_samples, in operator ()()
80 bsc.set(1, num_samples); in operator ()()
88 oso.set(1, num_samples); in operator ()()
90 Eigen::array<int, 3> bsc{batch_size, num_samples, num_classes}; in operator ()()
92 Eigen::array<int, 3> oso{1, num_samples, 1}; in operator ()()
113 /*in_dim0=*/batch_size * num_samples, in operator ()()
120 const int32 work_items = batch_size * num_samples * num_classes; in operator ()()
125 num_classes, num_samples, scores.data(), maxima.data(), output.data())); in operator ()()
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| D | multinomial_op.cc | 51 int num_classes, int num_samples,
77 int num_classes, int num_samples, in operator ()()
86 auto DoWork = [ctx, num_samples, num_classes, &gen, &output, &logits]( in operator ()()
94 gen_copy.Skip(start_row * (num_samples + 3) / 4); in operator ()()
128 for (int64 j = 0; j < num_samples; ++j) { in operator ()()
137 50 * (num_samples * std::log(num_classes) / std::log(2) + num_classes); in operator ()()
163 const int num_samples = num_samples_t.scalar<int>()(); in DoCompute() local
164 OP_REQUIRES(ctx, num_samples >= 0, in DoCompute()
166 "num_samples should be nonnegative, got ", num_samples)); in DoCompute()
183 ctx, ctx->allocate_output(0, TensorShape({batch_size, num_samples}), in DoCompute()
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| /external/libiio/src/tests/ |
| D | iio_readdev.c | 71 static size_t num_samples; variable
191 if (num_samples != 0) { in print_sample()
192 num_samples--; in print_sample()
193 if (num_samples == 0) { in print_sample()
282 num_samples = atoi(optarg); in main()
399 if (num_samples && len > num_samples * sample_size) in main()
400 len = num_samples * sample_size; in main()
411 if (num_samples) { in main()
412 num_samples -= read_len / sample_size; in main()
413 if (!num_samples) in main()
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| D | iio_writedev.c | 82 static size_t num_samples; variable
202 if (num_samples != 0) { in read_sample()
203 num_samples--; in read_sample()
204 if (num_samples == 0) { in read_sample()
294 num_samples = atoi(optarg); in main()
408 if (num_samples && len > num_samples * sample_size) in main()
409 len = num_samples * sample_size; in main()
420 if (num_samples) { in main()
421 num_samples -= write_len / sample_size; in main()
422 if (!num_samples) in main()
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| /external/webrtc/webrtc/modules/video_coding/utility/ |
| D | moving_average.h | 24 bool GetAverage(size_t num_samples, T* average);
44 bool MovingAverage<T>::GetAverage(size_t num_samples, T* avg) { in GetAverage() argument
45 if (num_samples > samples_.size()) in GetAverage()
49 while (num_samples < samples_.size()) { in GetAverage()
54 *avg = sum_ / static_cast<T>(num_samples); in GetAverage()
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| /external/webrtc/webrtc/modules/audio_coding/neteq/tools/ |
| D | audio_sink.h | 30 virtual bool WriteArray(const int16_t* audio, size_t num_samples) = 0;
50 bool WriteArray(const int16_t* audio, size_t num_samples) override { in WriteArray() argument
51 return left_sink_->WriteArray(audio, num_samples) && in WriteArray()
52 right_sink_->WriteArray(audio, num_samples); in WriteArray()
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| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/ |
| D | directed_interleave_dataset_test.py | 63 def _testSampleFromDatasetsHelper(self, weights, num_datasets, num_samples): argument
70 dataset = dataset.take(num_samples)
74 for _ in range(num_samples):
84 num_samples = 5000
93 freqs = self._testSampleFromDatasetsHelper(probs, classes, num_samples)
94 self.assertLess(self._chi2(probs, freqs / num_samples), 1e-2)
98 freqs = self._testSampleFromDatasetsHelper(probs_ds, classes, num_samples)
99 self.assertLess(self._chi2(probs, freqs / num_samples), 1e-2)
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