| /external/tensorflow/tensorflow/lite/testing/ |
| D | generate_testspec_test.cc | 34 float sum_x = 0.0f; in TEST() local
40 sum_x += value; in TEST()
47 float stddev = sum_x_square / num - (sum_x / num) * (sum_x / num); in TEST()
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| /external/libtextclassifier/native/tensorflow_models/seq_flow_lite/tflite_ops/ |
| D | layer_norm.cc | 174 std::vector<float> sum_x(time_steps, 0.0f); in FlexibleLayerNorm() local
189 sum_x[stats_offset] += input_val; in FlexibleLayerNorm()
198 sum_x[i] = sum_x[i] / num_features; in FlexibleLayerNorm()
200 const float variance = sum_xx[i] - sum_x[i] * sum_x[i]; in FlexibleLayerNorm()
203 bias[i] = offset - sum_x[i] * inverse_stddev * scale; in FlexibleLayerNorm()
240 float sum_x = 0; in DefaultLayerNormFloat() local
243 sum_x += input->data.f[index]; in DefaultLayerNormFloat()
247 const float exp_x = sum_x / num_features; in DefaultLayerNormFloat()
272 float sum_x = 0; in DefaultLayerNorm() local
276 sum_x += temp_buffer[j]; in DefaultLayerNorm()
[all …]
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| /external/adhd/cras/src/server/rust/src/ |
| D | rate_estimator.rs | 35 sum_x: f64, field
48 self.sum_x += x; in add_sample()
56 let num = self.num_samples as f64 * self.sum_xy - self.sum_x * self.sum_y; in best_fit_slope()
57 let den = self.num_samples as f64 * self.sum_x2 - self.sum_x * self.sum_x; in best_fit_slope()
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| /external/libhevc/encoder/ |
| D | rc_rd_model_fix.c | 185 number_t sum_x; in find_model_coeffs() local
213 sum_x.sm = 0; in find_model_coeffs()
226 sum_x.e = 0; in find_model_coeffs()
287 add32_var_q(x0, sum_x, &sum_x); in find_model_coeffs()
315 div32_var_q(sum_x, s_num_frms_used, &sum_x); in find_model_coeffs()
342 mult32_var_q(sum_x, sum_y, &temp); in find_model_coeffs()
346 mult32_var_q(sum_x2, sum_x, &temp); in find_model_coeffs()
354 mult32_var_q(sum_x, sum_x, &temp); in find_model_coeffs()
382 mult32_var_q(model_coeff_a, sum_x, &temp); in find_model_coeffs()
400 mult32_var_q(sum_x, sum_y, &temp); in find_model_coeffs()
[all …]
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| D | rc_rd_model.c | 147 float sum_x = 0; in find_model_coeffs() local
172 sum_x += x0; in find_model_coeffs()
182 sum_x /= u1_num_frms_used; in find_model_coeffs()
199 var_x_y = sum_x_y - sum_x * sum_y; in find_model_coeffs()
200 var_x2_x = sum_x3 - sum_x2 * sum_x; in find_model_coeffs()
202 var_x_x = sum_x2 - sum_x * sum_x; in find_model_coeffs()
214 model_coeff_c = sum_y - (model_coeff_a * sum_x) - (model_coeff_b * sum_x2); in find_model_coeffs()
224 var_x_y = sum_x_y - sum_x * sum_y; in find_model_coeffs()
225 var_x_x = sum_x2 - sum_x * sum_x; in find_model_coeffs()
230 model_coeff_c = sum_y - (model_coeff_a * sum_x); in find_model_coeffs()
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| /external/adhd/cras/src/plc/ |
| D | cras_plc.c | 206 uint32_t sum_x = 0, sum_y = 0; in amplitude_match() local
209 sum_x += abs(x[i]); in amplitude_match()
216 scaler = (float)sum_x / sum_y; in amplitude_match()
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| /external/webrtc/modules/congestion_controller/goog_cc/ |
| D | trendline_estimator.cc | 58 double sum_x = 0; in LinearFitSlope() local
61 sum_x += packet.arrival_time_ms; in LinearFitSlope()
64 double x_avg = sum_x / packets.size(); in LinearFitSlope()
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| /external/pdfium/third_party/lcms/src/ |
| D | cmssamp.c | 286 double sum_x = 0, sum_x2 = 0, sum_x3 = 0, sum_x4 = 0; in RootOfLeastSquaresFitQuadraticCurve() local
300 sum_x += xn; in RootOfLeastSquaresFitQuadraticCurve()
310 _cmsVEC3init(&m.v[0], n, sum_x, sum_x2); in RootOfLeastSquaresFitQuadraticCurve()
311 _cmsVEC3init(&m.v[1], sum_x, sum_x2, sum_x3); in RootOfLeastSquaresFitQuadraticCurve()
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| /external/libavc/encoder/ |
| D | irc_rd_model.c | 121 float sum_x = 0; in find_model_coeffs() local
149 sum_x += x0; in find_model_coeffs()
159 sum_x /= u1_num_frms_used; in find_model_coeffs()
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| /external/tensorflow/tensorflow/python/ops/ |
| D | special_math_ops.py | 99 sum_x = math_ops.reduce_sum(x, axis=[-1])
100 log_gamma_sum_x = math_ops.lgamma(sum_x)
|