| /external/webrtc/modules/audio_coding/neteq/ |
| D | statistics_calculator.cc | 156 void StatisticsCalculator::ExpandedVoiceSamples(size_t num_samples, in ExpandedVoiceSamples() argument
158 expanded_speech_samples_ += num_samples; in ExpandedVoiceSamples()
159 ConcealedSamplesCorrection(rtc::dchecked_cast<int>(num_samples), true); in ExpandedVoiceSamples()
163 void StatisticsCalculator::ExpandedNoiseSamples(size_t num_samples, in ExpandedNoiseSamples() argument
165 expanded_noise_samples_ += num_samples; in ExpandedNoiseSamples()
166 ConcealedSamplesCorrection(rtc::dchecked_cast<int>(num_samples), false); in ExpandedNoiseSamples()
170 void StatisticsCalculator::ExpandedVoiceSamplesCorrection(int num_samples) { in ExpandedVoiceSamplesCorrection() argument
172 AddIntToSizeTWithLowerCap(num_samples, expanded_speech_samples_); in ExpandedVoiceSamplesCorrection()
173 ConcealedSamplesCorrection(num_samples, true); in ExpandedVoiceSamplesCorrection()
176 void StatisticsCalculator::ExpandedNoiseSamplesCorrection(int num_samples) { in ExpandedNoiseSamplesCorrection() argument
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| D | statistics_calculator.h | 39 void ExpandedVoiceSamples(size_t num_samples, bool is_new_concealment_event);
43 void ExpandedNoiseSamples(size_t num_samples, bool is_new_concealment_event);
48 void ExpandedVoiceSamplesCorrection(int num_samples);
51 void ExpandedNoiseSamplesCorrection(int num_samples);
60 void PreemptiveExpandedSamples(size_t num_samples);
63 void AcceleratedSamples(size_t num_samples);
66 void AddZeros(size_t num_samples);
78 void LostSamples(size_t num_samples);
83 void IncreaseCounter(size_t num_samples, int fs_hz);
86 void JitterBufferDelay(size_t num_samples,
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| /external/tensorflow/tensorflow/python/keras/tests/ |
| D | model_subclassing_compiled_test.py | 39 num_samples = 100
50 x = np.ones((num_samples, input_dim))
51 y = np.zeros((num_samples, num_classes))
58 num_samples = 1000
69 x1 = np.ones((num_samples, input_dim))
70 x2 = np.ones((num_samples, input_dim))
71 y1 = np.zeros((num_samples, num_classes[0]))
72 y2 = np.zeros((num_samples, num_classes[1]))
79 num_samples = 10
90 x = np.ones((num_samples, input_dim), dtype=np.float32)
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | lstm_test.py | 35 num_samples = 2
43 input_shape=(num_samples, timesteps, embedding_dim))
50 num_samples = 2
59 input_shape=(num_samples, timesteps, embedding_dim),
78 num_samples = 2
90 x = np.random.random((num_samples, timesteps, embedding_dim))
91 y = np.random.random((num_samples, units))
95 num_samples = 2
104 input_shape=(num_samples, timesteps, embedding_dim))
113 num_samples = 2
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| D | gru_test.py | 36 num_samples = 2
44 input_shape=(num_samples, timesteps, embedding_dim))
51 num_samples = 2
60 input_shape=(num_samples, timesteps, embedding_dim),
64 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 | 35 num_samples = 2
43 input_shape=(num_samples, timesteps, embedding_dim))
47 num_samples = 2
56 input_shape=(num_samples, timesteps, embedding_dim),
60 num_samples = 2
68 x = np.random.random((num_samples, timesteps, embedding_dim))
69 y = np.random.random((num_samples, units))
73 num_samples = 2
82 input_shape=(num_samples, timesteps, embedding_dim))
85 num_samples = 2
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| D | cudnn_recurrent_test.py | 47 num_samples = 32
52 input_shape=(num_samples, timesteps, input_size))
63 num_samples = 32
68 input_shape=(num_samples, timesteps, input_size))
79 num_samples = 32
82 inputs = keras.Input(batch_shape=(num_samples, timesteps, input_size))
90 inputs = np.random.random((num_samples, timesteps, input_size))
104 num_samples = 32
116 np.ones((num_samples, timesteps, input_size)),
117 np.ones((num_samples, timesteps, units)))
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| D | local_test.py | 91 num_samples = 2
116 input_shape=(num_samples, num_steps, input_dim))
121 num_samples = 2
142 layer.build((num_samples, num_steps, input_dim))
146 np.ones((num_samples, num_steps, input_dim))))
159 layer.build((num_samples, num_steps, input_dim))
170 num_samples = 8
198 input_shape=(num_samples, num_row, num_col, stack_size))
204 num_samples = 8
223 input_shape=(num_samples, num_row, num_col, stack_size))
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| D | convolutional_test.py | 37 num_samples = 2
45 input_shape=(num_samples, length, stack_size),
174 num_samples = 2
180 input_data_shape = (num_samples, num_row or 7, num_col or 6, stack_size)
187 input_shape=(num_samples, num_row, num_col, stack_size),
306 num_samples = 2
316 input_shape=(num_samples, depth, num_row, num_col, stack_size),
493 num_samples = 2
501 input_shape=(num_samples, num_col, stack_size),
526 num_samples = 2
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| D | lstm_v2_test.py | 104 num_samples = 2
112 x = np.random.random((num_samples, timesteps, embedding_dim))
113 y = np.random.random((num_samples, units))
140 num_samples = 2
159 inputs = np.random.random((num_samples, timesteps, embedding_dim))
161 np.random.random((num_samples, units)) for _ in range(num_states)
163 targets = np.random.random((num_samples, units))
171 num_samples = 2
176 keras.backend.random_normal_variable((num_samples, units), 0, 1)
187 inputs = np.random.random((num_samples, timesteps, embedding_dim))
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| D | convolutional_recurrent_test.py | 37 num_samples = 1
43 inputs = np.random.rand(num_samples, sequence_len,
47 inputs = np.random.rand(num_samples, sequence_len,
86 num_samples = 1
91 inputs = np.random.rand(num_samples, sequence_len,
138 num_samples = 1
143 inputs = np.random.rand(num_samples, sequence_len,
204 num_samples = 32
225 x_1 = np.random.rand(num_samples, sequence_len, 32, 32, 3)
226 x_2 = np.random.rand(num_samples, sequence_len, 32, 32, 4)
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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/common_audio/ |
| D | wav_header_unittest.cc | 106 size_t num_samples = 0; in TEST() local
135 &bytes_per_sample, &num_samples, in TEST()
160 &bytes_per_sample, &num_samples, in TEST()
185 &bytes_per_sample, &num_samples, in TEST()
211 &bytes_per_sample, &num_samples, in TEST()
238 &bytes_per_sample, &num_samples, in TEST()
261 &bytes_per_sample, &num_samples, in TEST()
277 &bytes_per_sample, &num_samples, in TEST()
317 size_t num_samples = 0; in TEST() local
322 &bytes_per_sample, &num_samples, &data_start_pos)); in TEST()
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| D | wav_header.cc | 206 size_t num_samples, in WritePcmWavHeader() argument
213 const size_t bytes_in_payload = bytes_per_sample * num_samples; in WritePcmWavHeader()
237 size_t num_samples, in WriteIeeeFloatWavHeader() argument
244 const size_t bytes_in_payload = bytes_per_sample * num_samples; in WriteIeeeFloatWavHeader()
261 header.fact.SampleLength = static_cast<uint32_t>(num_channels * num_samples); in WriteIeeeFloatWavHeader()
291 size_t num_samples) { in CheckWavParameters() argument
333 if (num_samples > max_samples) in CheckWavParameters()
337 if (num_samples % num_channels != 0) in CheckWavParameters()
348 size_t num_samples) { in CheckWavParameters() argument
350 GetFormatBytesPerSample(format), num_samples); in CheckWavParameters()
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| D | wav_file.h | 33 virtual size_t num_samples() const = 0;
60 void WriteSamples(const float* samples, size_t num_samples);
61 void WriteSamples(const int16_t* samples, size_t num_samples);
65 size_t num_samples() const override { return num_samples_written_; } in num_samples() function
94 size_t ReadSamples(size_t num_samples, float* samples);
95 size_t ReadSamples(size_t num_samples, int16_t* samples);
99 size_t num_samples() const override { return num_samples_in_file_; } in num_samples() function
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| D | wav_file.cc | 90 size_t WavReader::ReadSamples(const size_t num_samples, in ReadSamples() argument
96 size_t num_samples_left_to_read = num_samples; in ReadSamples()
128 return num_samples - num_samples_left_to_read; in ReadSamples()
131 size_t WavReader::ReadSamples(const size_t num_samples, float* const samples) { in ReadSamples() argument
136 size_t num_samples_left_to_read = num_samples; in ReadSamples()
174 return num_samples - num_samples_left_to_read; in ReadSamples()
215 void WavWriter::WriteSamples(const int16_t* samples, size_t num_samples) { in WriteSamples() argument
220 for (size_t i = 0; i < num_samples; i += kMaxChunksize) { in WriteSamples()
221 const size_t num_remaining_samples = num_samples - i; in WriteSamples()
245 void WavWriter::WriteSamples(const float* samples, size_t num_samples) { in WriteSamples() argument
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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/webrtc/modules/audio_coding/codecs/cng/ |
| D | webrtc_cng.cc | 124 const size_t num_samples = out_data.size(); in Generate() local
126 if (num_samples > kCngMaxOutsizeOrder) { in Generate()
188 for (size_t i = 0; i < num_samples; i++) { in Generate()
194 num_samples, 13); in Generate()
201 num_samples, dec_filtstate_, WEBRTC_CNG_MAX_LPC_ORDER, in Generate()
203 out_data.data(), low, num_samples); in Generate()
258 const size_t num_samples = speech.size(); in Encode() local
259 RTC_CHECK_LE(num_samples, kCngMaxOutsizeOrder); in Encode()
261 for (i = 0; i < num_samples; i++) { in Encode()
265 factor = num_samples; in Encode()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | random_poisson_op.cc | 74 int num_rate, int num_samples, in operator ()()
99 auto DoWork = [num_samples, num_rate, &rng, samples_flat, rate_flat]( in operator ()()
109 const int64_t rate_idx = output_idx / num_samples; in operator ()()
128 for (int64_t sample_idx = output_idx % num_samples; in operator ()()
129 sample_idx < num_samples && output_idx < limit_output; in operator ()()
155 for (int64_t sample_idx = output_idx % num_samples; in operator ()()
156 sample_idx < num_samples && output_idx < limit_output; in operator ()()
200 for (int64_t sample_idx = output_idx % num_samples; in operator ()()
201 sample_idx < num_samples && output_idx < limit_output; in operator ()()
273 num_rate * num_samples, kElementCost, DoWork); in operator ()()
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| D | multinomial_op_gpu.cu.cc | 43 const int32 num_samples, in MultinomialKernel() argument
64 int num_classes, int num_samples, in operator ()()
76 bsc.set(1, num_samples); in operator ()()
84 oso.set(1, num_samples); in operator ()()
86 Eigen::array<int, 3> bsc{batch_size, num_samples, num_classes}; in operator ()()
88 Eigen::array<int, 3> oso{1, num_samples, 1}; in operator ()()
109 /*in_dim0=*/batch_size * num_samples, in operator ()()
116 const int32 work_items = batch_size * num_samples * num_classes; in operator ()()
121 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_t 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/flac/src/share/replaygain_analysis/ |
| D | replaygain_analysis.c | 417 … flac_float_t* left_samples, const flac_float_t* right_samples, size_t num_samples, int num_channe… in AnalyzeSamples() argument
428 num_samples /= downsample; in AnalyzeSamples()
430 if ( num_samples == 0 ) in AnalyzeSamples()
434 batchsamples = num_samples; in AnalyzeSamples()
443 if ((size_t) prebufsamples > num_samples) in AnalyzeSamples()
444 prebufsamples = num_samples; in AnalyzeSamples()
497 if ( num_samples < MAX_ORDER ) { in AnalyzeSamples()
498 …memmove ( linprebuf, linprebuf + num_samples, (MAX_ORDER-num_samples) * … in AnalyzeSamples()
499 …memmove ( rinprebuf, rinprebuf + num_samples, (MAX_ORDER-num_samples) * … in AnalyzeSamples()
500 …memcpy ( linprebuf + MAX_ORDER - num_samples, left_samples, num_samples * si… in AnalyzeSamples()
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| /external/tensorflow/tensorflow/python/data/experimental/benchmarks/ |
| D | rejection_resample_benchmark.py | 36 num_samples = 1000
37 data_np = np.random.choice(num_classes, num_samples, p=init_dist)
53 num_elements=num_samples,
56 resample_time = wall_time * num_samples
63 "parameters": "%d" % num_samples,
65 name="resample_{}".format(num_samples))
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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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