| /external/tensorflow/tensorflow/lite/testing/ |
| generate_testspec_test.cc | 32 float sum_x = 0.0f; local
38 sum_x += value;
45 float stddev = sum_x_square / num - (sum_x / num) * (sum_x / num);
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| /external/adhd/cras/src/server/ |
| rate_estimator.c | 20 lsq->sum_x += x;
30 num = lsq->num_samples * lsq->sum_xy - lsq->sum_x * lsq->sum_y;
31 denom = lsq->num_samples * lsq->sum_x2 - lsq->sum_x * lsq->sum_x;
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| rate_estimator.h | 16 double sum_x; member in struct:least_square
|
| /cts/tests/tests/media/libmediandkjni/ |
| codec-utils-jni.cpp | 384 uint64_t sum_x[3] = { 0, 0, 0 }; // Y, U, V local
413 sum_x[0] += Y;
414 sum_x[1] += U;
415 sum_x[2] += V;
439 rawStats[i + 1] = sum_x[i];
446 int64_t sum_x[3], sum_xx[3]; // Y, U, V local
451 sum_x[i] = rawStats[i + 1];
457 stats[0] = sum_x[0] / (float)num; // y average
458 stats[1] = sum_x[1] / (float)num; // u average
459 stats[2] = sum_x[2] / (float)num; // v averag
[all...] |
| /external/libhevc/encoder/ |
| rc_rd_model_fix.c | 185 number_t sum_x; local
213 sum_x.sm = 0;
226 sum_x.e = 0;
271 sum_x += x0;
286 /* sum_x += x0; */
287 add32_var_q(x0, sum_x, &sum_x);
314 /* sum_x /= u1_num_frms_used; */
315 div32_var_q(sum_x, s_num_frms_used, &sum_x);
[all...] |
| rc_rd_model.c | 147 float sum_x = 0; local
172 sum_x += x0;
182 sum_x /= u1_num_frms_used;
199 var_x_y = sum_x_y - sum_x * sum_y;
200 var_x2_x = sum_x3 - sum_x2 * sum_x;
202 var_x_x = sum_x2 - sum_x * sum_x;
214 model_coeff_c = sum_y - (model_coeff_a * sum_x) - (model_coeff_b * sum_x2);
224 var_x_y = sum_x_y - sum_x * sum_y;
225 var_x_x = sum_x2 - sum_x * sum_x
[all...] |
| /external/libavc/encoder/ |
| irc_rd_model.c | 121 float sum_x = 0; local
149 sum_x += x0;
159 sum_x /= u1_num_frms_used;
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| /external/pdfium/third_party/lcms/src/ |
| cmssamp.c | 286 double sum_x = 0, sum_x2 = 0, sum_x3 = 0, sum_x4 = 0; local
300 sum_x += xn;
310 _cmsVEC3init(&m.v[0], n, sum_x, sum_x2);
311 _cmsVEC3init(&m.v[1], sum_x, sum_x2, sum_x3);
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| /external/tensorflow/tensorflow/python/ops/ |
| special_math_ops.py | 79 sum_x = math_ops.reduce_sum(x, axis=[-1])
80 log_gamma_sum_x = math_ops.lgamma(sum_x)
|
