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Searched refs:tmp1 (Results 1 – 25 of 70) sorted by relevance

123

/frameworks/av/media/libstagefright/codecs/mp3dec/src/
Dpvmp3_mdct_18.cpp137 int32 tmp1; in pvmp3_mdct_18() local
154 tmp1 = *(pt_vec_o); in pvmp3_mdct_18()
156 tmp1 = fxp_mul32_Q27(tmp1, *(pt_cos_x--)); in pvmp3_mdct_18()
157 *(pt_vec++) = tmp + tmp1 ; in pvmp3_mdct_18()
158 *(pt_vec_o--) = fxp_mul32_Q28((tmp - tmp1), *(pt_cos_split++)); in pvmp3_mdct_18()
198 tmp1 = vec[i+1]; in pvmp3_mdct_18()
201 history[i ] = -(tmp2 + tmp1); in pvmp3_mdct_18()
202 tmp2 = tmp1; in pvmp3_mdct_18()
208 tmp1 = vec[7]; in pvmp3_mdct_18()
211 history[6] = -(tmp2 + tmp1); in pvmp3_mdct_18()
[all …]
Dpvmp3_dct_16.cpp156 int32 tmp1; in pvmp3_dct_16() local
187 tmp1 = vec[ 1] + vec[14]; in pvmp3_dct_16()
194 itmp_e1 = (tmp1 + tmp6); in pvmp3_dct_16()
195 tmp6 = fxp_mul32_Q32((tmp1 - tmp6), Qfmt_31(0.60134488693505F)); in pvmp3_dct_16()
212 tmp1 = (tmp3 + tmp4); in pvmp3_dct_16()
217 tmp0 = (tmp7 + tmp1); in pvmp3_dct_16()
218 tmp1 = fxp_mul32_Q32((tmp7 - tmp1), Qfmt_31(0.54119610014620F)); in pvmp3_dct_16()
225 tmp0 = fxp_mul32_Q32((tmp1 - tmp3) << 1, Qfmt_31(0.70710678118655F)); in pvmp3_dct_16()
226 vec[ 4] = tmp1 + tmp3 + tmp0; in pvmp3_dct_16()
231 tmp1 = fxp_mul32_Q32((itmp_e0 - tmp4) << 1, Qfmt_31(0.54119610014620F)); in pvmp3_dct_16()
[all …]
Dpvmp3_get_scale_factors.cpp196 int32 tmp1 = slen[(i>>1)][gr_info->scalefac_compress]; in pvmp3_get_scale_factors() local
198 if (tmp1) in pvmp3_get_scale_factors()
200 int32 tmp2 = tmp1 * tmp4; in pvmp3_get_scale_factors()
202 tmp4 = 32 - tmp1; in pvmp3_get_scale_factors()
203 for (; tmp2 > 0; tmp2 -= tmp1) in pvmp3_get_scale_factors()
Dpvmp3_dct_6.cpp118 Int32 tmp1; in pvmp3_dct_6() local
129 tmp1 = vec[4] + vec[1]; in pvmp3_dct_6()
136 vec[4] = (vec[0] >> 1) - tmp1; in pvmp3_dct_6()
137 vec[0] += tmp1; in pvmp3_dct_6()
/frameworks/av/media/libstagefright/codecs/amrnb/enc/src/
Dcor_h.cpp281 Word16 tmp1; in cor_h() local
305 tmp1 = *(p_h++); in cor_h()
306 s = amrnb_fxp_mac_16_by_16bb((Word32) tmp1, (Word32) tmp1, s); in cor_h()
307 tmp1 = *(p_h++); in cor_h()
308 s = amrnb_fxp_mac_16_by_16bb((Word32) tmp1, (Word32) tmp1, s); in cor_h()
361 tmp1 = *(p_h2++); in cor_h()
362 s = amrnb_fxp_mac_16_by_16bb((Word32) tmp1, (Word32) tmp1, s); in cor_h()
365 tmp1 = *(p_h2++); in cor_h()
366 s = amrnb_fxp_mac_16_by_16bb((Word32) tmp1, (Word32) tmp1, s); in cor_h()
395 tmp1 = (Word16)((s + 0x00004000L) >> 15); in cor_h()
[all …]
/frameworks/av/media/libstagefright/codecs/amrwb/src/
Dpred_lt4.cpp200 int16 tmp1 = pt_exc[i ]; in Pred_lt4() local
205 L_sum1 = fxp_mac_16by16(tmp1, pt_inter4_2[i ], L_sum1); in Pred_lt4()
212 tmp1 = pt_exc[i+3]; in Pred_lt4()
215 L_sum4 = fxp_mac_16by16(tmp1, pt_inter4_2[i ], L_sum4); in Pred_lt4()
216 L_sum3 = fxp_mac_16by16(tmp1, pt_inter4_2[i+1], L_sum3); in Pred_lt4()
217 L_sum2 = fxp_mac_16by16(tmp1, pt_inter4_2[i+2], L_sum2); in Pred_lt4()
218 L_sum1 = fxp_mac_16by16(tmp1, pt_inter4_2[i+3], L_sum1); in Pred_lt4()
223 tmp1 = pt_exc[i+5]; in Pred_lt4()
226 L_sum4 = fxp_mac_16by16(tmp1, pt_inter4_2[i+2], L_sum4); in Pred_lt4()
227 L_sum3 = fxp_mac_16by16(tmp1, pt_inter4_2[i+3], L_sum3); in Pred_lt4()
[all …]
Doversamp_12k8_to_16k.cpp284 int16 tmp1, tmp2, tmp3, tmp4; in AmrWbInterpol() local
288 tmp1 = *(pt_x++); in AmrWbInterpol()
292 L_sum = fxp_mac_16by16(tmp1, *(pt_fir++), 0x00002000L); in AmrWbInterpol()
296 tmp1 = *(pt_x++); in AmrWbInterpol()
300 L_sum = fxp_mac_16by16(tmp1, *(pt_fir++), L_sum); in AmrWbInterpol()
304 tmp1 = *(pt_x++); in AmrWbInterpol()
308 L_sum = fxp_mac_16by16(tmp1, *(pt_fir++), L_sum); in AmrWbInterpol()
312 tmp1 = *(pt_x++); in AmrWbInterpol()
316 L_sum = fxp_mac_16by16(tmp1, *(pt_fir++), L_sum); in AmrWbInterpol()
320 tmp1 = *(pt_x++); in AmrWbInterpol()
[all …]
Dlow_pass_filt_7k.cpp173 int16 tmp1 = x[(i<<2)+j ]; in low_pass_filt_7k() local
177 L_tmp1 = fxp_mac_16by16(tmp1, fir_7k[j ], L_tmp1); in low_pass_filt_7k()
184 tmp1 = x[(i<<2)+j+3]; in low_pass_filt_7k()
187 L_tmp2 = fxp_mac_16by16(tmp1, fir_7k[j+2], L_tmp2); in low_pass_filt_7k()
188 L_tmp4 = fxp_mac_16by16(tmp1, fir_7k[j ], L_tmp4); in low_pass_filt_7k()
189 L_tmp3 = fxp_mac_16by16(tmp1, fir_7k[j+1], L_tmp3); in low_pass_filt_7k()
190 L_tmp1 = fxp_mac_16by16(tmp1, fir_7k[j+3], L_tmp1); in low_pass_filt_7k()
195 tmp1 = x[(i<<2)+j+5]; in low_pass_filt_7k()
198 L_tmp4 = fxp_mac_16by16(tmp1, fir_7k[j+2], L_tmp4); in low_pass_filt_7k()
199 L_tmp3 = fxp_mac_16by16(tmp1, fir_7k[j+3], L_tmp3); in low_pass_filt_7k()
Dband_pass_6k_7k.cpp193 int16 tmp1 = x[(i<<2)+j ]; in band_pass_6k_7k() local
197 L_tmp1 = fxp_mac_16by16(tmp1, fir_6k_7k[j ], L_tmp1); in band_pass_6k_7k()
204 tmp1 = x[(i<<2)+j+3]; in band_pass_6k_7k()
207 L_tmp2 = fxp_mac_16by16(tmp1, fir_6k_7k[j+2], L_tmp2); in band_pass_6k_7k()
208 L_tmp4 = fxp_mac_16by16(tmp1, fir_6k_7k[j ], L_tmp4); in band_pass_6k_7k()
209 L_tmp3 = fxp_mac_16by16(tmp1, fir_6k_7k[j+1], L_tmp3); in band_pass_6k_7k()
210 L_tmp1 = fxp_mac_16by16(tmp1, fir_6k_7k[j+3], L_tmp1); in band_pass_6k_7k()
215 tmp1 = x[(i<<2)+j+5]; in band_pass_6k_7k()
218 L_tmp4 = fxp_mac_16by16(tmp1, fir_6k_7k[j+2], L_tmp4); in band_pass_6k_7k()
219 L_tmp3 = fxp_mac_16by16(tmp1, fir_6k_7k[j+3], L_tmp3); in band_pass_6k_7k()
Ddec_gain2_amr_wb.cpp188 int16 tmp1, g_code; in dec_gain2_amr_wb() local
258 tmp1 = past_qua_en[2]; in dec_gain2_amr_wb()
260 L_tmp += tmp1; in dec_gain2_amr_wb()
263 tmp1 = past_qua_en[0]; in dec_gain2_amr_wb()
265 L_tmp += tmp1; in dec_gain2_amr_wb()
268 past_qua_en[1] = tmp1; in dec_gain2_amr_wb()
360 tmp1 = pbuf[1]; in dec_gain2_amr_wb()
365 pbuf[i - 1] = tmp1; in dec_gain2_amr_wb()
368 tmp1 = pbuf[i]; in dec_gain2_amr_wb()
/frameworks/ml/nn/runtime/test/specs/V1_2/
Dconcat_zero_sized.mod.py24 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
26 model = Model().Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1
32 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
42 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
63 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
65 model = Model().Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1
71 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
82 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Dresize_bilinear_v1_2.mod.py98 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
100 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
105 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
115 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
136 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
138 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
143 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
153 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Dl2_pool_v1_2.mod.py62 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
64 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
69 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
90 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
92 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
97 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
Dmax_pool_v1_2.mod.py118 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
120 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
125 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
135 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
156 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
158 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
163 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
173 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Davg_pool_v1_2.mod.py148 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
150 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
155 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
165 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
186 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
188 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
193 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
203 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Dtranspose_v1_2.mod.py55 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
57 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
63 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
73 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Dtranspose_conv2d.mod.py185 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
187 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
192 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
205 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
228 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
230 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
235 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 4, 4, 2.0, 2.0, 4, 4, layout).To(zero_sized)
247 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Dfully_connected_v1_2.mod.py56 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
58 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
64 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
76 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
/frameworks/av/media/libstagefright/codecs/amrnb/dec/src/
Dc_g_aver.cpp486 Word16 tmp1; in Cb_gain_average() local
516 tmp1 = abs_s(sub(*(lspAver + i), *(lsp + i), pOverflow)); in Cb_gain_average()
518 shift1 = sub(norm_s(tmp1), 1, pOverflow); /* Qn */ in Cb_gain_average()
519 tmp1 = shl(tmp1, shift1, pOverflow); /* Q15+Qn */ in Cb_gain_average()
522 tmp[i] = div_s(tmp1, tmp2); /* Q15+(Q15+Qn)-(Q15+Qm) */ in Cb_gain_average()
586 tmp1 = tmp_diff; in Cb_gain_average()
590 tmp1 = 0; in Cb_gain_average()
594 if (2048 < tmp1) in Cb_gain_average()
600 bgMix = shl(tmp1, 2, pOverflow); in Cb_gain_average()
Dph_disp.cpp671 Word16 tmp1; in ph_disp() local
740 tmp1 = pv_round(L_temp, pOverflow); in ph_disp()
742 if (cbGain > tmp1) in ph_disp()
860 tmp1 = (Word16) L_temp; in ph_disp()
861 *(p_inno) = add(*(p_inno), tmp1, pOverflow); in ph_disp()
871 tmp1 = (Word16) L_temp; in ph_disp()
872 *(p_inno) = add(*(p_inno), tmp1, pOverflow); in ph_disp()
/frameworks/ml/nn/runtime/test/specs/V1_3/
Dresize_quant8_signed.mod.py98 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
100 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
105 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
115 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
136 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
138 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
143 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
153 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
346 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
348 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
Dtranspose_quant8_signed.mod.py221 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
223 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
228 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
241 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
264 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
266 …ed").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
271 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 4, 4, 2.0, 2.0, 4, 4, layout).To(zero_sized)
283 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
386 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
388 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
[all …]
Dconcat_quant8_signed.mod.py144 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
146 model = Model().Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1
152 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
162 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
184 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
186 model = Model().Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1
192 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
203 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Dslice_quant8_signed.mod.py47 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
51 0.3).To(o1, tmp1, o2, tmp2)
57 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4,
69 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),
Dtanh_quant8_signed.mod.py46 tmp1 = Internal("roiOut", "TENSOR_FLOAT32", "{0, 4}") # roi out variable
48 …d").Operation("BOX_WITH_NMS_LIMIT", p1, p2, [0], 0.3, -1, 0, 0.4, 1.0, 0.3).To(o1, tmp1, o2, tmp2)
54 model = model.Operation("ROI_ALIGN", i1, tmp1, tmp2, 2, 2, 2.0, 2.0, 4, 4, layout).To(zero_sized)
64 tmp1: ("TENSOR_QUANT16_ASYMM", 0.125, 0),

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