| /external/libvpx/libvpx/vpx_dsp/x86/ |
| bitdepth_conversion_avx2.h | 37 const __m256i a_2 = _mm256_unpackhi_epi16(a_lo, a_hi); local
39 _mm256_storeu_si256((__m256i *)(b + 8), a_2);
|
| bitdepth_conversion_sse2.h | 38 const __m128i a_2 = _mm_unpackhi_epi16(a_lo, a_hi); local
40 _mm_store_si128((__m128i *)(b + 4), a_2);
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/engine/ |
| topology_test.py | 151 a_2 = keras.layers.Dense(16, name='dense_1')(a)
155 self.assertFalse(a_2._uses_learning_phase)
159 m = keras.layers.concatenate([a_2, b_2])
163 model = keras.models.Model([a, b], [a_2, b_2])
228 a_2 = dense(a)
251 self.assertEqual(dense.get_output_at(0), a_2)
269 a_2 = dense(a)
272 merged = keras.layers.concatenate([a_2, b_2], name='merge')
340 a_2 = dense(a)
342 merged = keras.layers.concatenate([a_2, b_2], name='merge'
[all...] |
| training_test.py | [all...] |
| /external/libvpx/libvpx/vpx_dsp/arm/ |
| sad4d_neon.c | 205 const uint8x16_t a_2 = vld1q_u8(a + 32); local
209 sum64x(a_2, a_3, vld1q_u8(b_loop[0] + 32), vld1q_u8(b_loop[0] + 48),
213 sum64x(a_2, a_3, vld1q_u8(b_loop[1] + 32), vld1q_u8(b_loop[1] + 48),
217 sum64x(a_2, a_3, vld1q_u8(b_loop[2] + 32), vld1q_u8(b_loop[2] + 48),
221 sum64x(a_2, a_3, vld1q_u8(b_loop[3] + 32), vld1q_u8(b_loop[3] + 48),
|
| sad_neon.c | 261 const uint8x16_t a_2 = vld1q_u8(a + 32); local
273 abs_1 = vabal_u8(abs_1, vget_low_u8(a_2), vget_low_u8(b_2));
274 abs_1 = vabal_u8(abs_1, vget_high_u8(a_2), vget_high_u8(b_2));
295 const uint8x16_t a_2 = vld1q_u8(a + 32); local
316 abs_1 = vabal_u8(abs_1, vget_low_u8(a_2), vget_low_u8(avg_2));
317 abs_1 = vabal_u8(abs_1, vget_high_u8(a_2), vget_high_u8(avg_2));
|
| /external/tensorflow/tensorflow/python/framework/ |
| ops_test.py | [all...] |
| /external/tensorflow/tensorflow/python/layers/ |
| network_test.py | 177 a_2 = dense(a)
182 self.assertEqual(dense.get_output_at(0), a_2)
208 a_2 = dense(a)
215 a_2 = dense(a)
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| estimator_test.py | 104 a_2 = dense(a)
106 merged = keras.layers.concatenate([a_2, b_2], name='merge')
|
| /prebuilts/gcc/darwin-x86/x86/x86_64-linux-android-4.9/lib/gcc/x86_64-linux-android/4.9.x/include/ |
| arm_neon.h | 3841 __m128i b16, c16, r16_1, a_2,r16_2; local
3891 __m128i b16, c16, r16_1, a_2, r16_2; local
4037 __m128i b16, c16, r16_1, a_2, r16_2; local
4086 __m128i b16, c16, r16_1, a_2, r16_2; local
[all...] |
| /prebuilts/gcc/linux-x86/host/x86_64-linux-glibc2.15-4.8/lib/gcc/x86_64-linux/4.8/include/ |
| arm_neon.h | 3841 __m128i b16, c16, r16_1, a_2,r16_2; local
3891 __m128i b16, c16, r16_1, a_2, r16_2; local
4037 __m128i b16, c16, r16_1, a_2, r16_2; local
4086 __m128i b16, c16, r16_1, a_2, r16_2; local
[all...] |
| /prebuilts/gcc/linux-x86/x86/x86_64-linux-android-4.9/lib/gcc/x86_64-linux-android/4.9.x/include/ |
| arm_neon.h | 3841 __m128i b16, c16, r16_1, a_2,r16_2; local
3891 __m128i b16, c16, r16_1, a_2, r16_2; local
4037 __m128i b16, c16, r16_1, a_2, r16_2; local
4086 __m128i b16, c16, r16_1, a_2, r16_2; local
[all...] |
