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  /prebuilts/ndk/r16/sources/third_party/vulkan/src/libs/glm/gtx/
simd_quat.inl 129 __m128 add0 = _mm_dp_ps(mul0, _mm_set_ps(1.0f, -1.0f, 1.0f, 1.0f), 0xff);
135 __m128 add0 = _mm_add_ps(mul0, _mm_movehl_ps(mul0, mul0));
136 add0 = _mm_add_ss(add0, _mm_shuffle_ps(add0, add0, 1));
155 //__m128 xxyy = _mm_shuffle_ps(add0, add1, _MM_SHUFFLE(0, 0, 0, 0));
165 _mm_store_ss(&x, add0);
  /external/llvm/test/CodeGen/SystemZ/
fp-move-02.ll 218 %add0 = fadd double %start, %double0
219 %add1 = fadd double %add0, %double1
251 %int0 = phi i64 [ 0, %entry ], [ %add0, %loop ]
263 %add0 = add i64 %int0, %bias
280 %conv0 = bitcast i64 %add0 to double
360 %add0 = add i64 %conv0, %bias
361 store volatile i64 %add0, i64 *@iptr
int-add-11.ll 158 %add0 = add i32 %val0, 127
177 %new0 = phi i32 [ %val0, %entry ], [ %add0, %add ]
241 %add0 = add i32 %val0, -128
260 %new0 = phi i32 [ %val0, %entry ], [ %add0, %add ]
int-add-12.ll 157 %add0 = add i64 %val0, 127
176 %new0 = phi i64 [ %val0, %entry ], [ %add0, %add ]
240 %add0 = add i64 %val0, -128
259 %new0 = phi i64 [ %val0, %entry ], [ %add0, %add ]
int-add-02.ll 163 %add0 = add i32 %ret, %val0
164 %add1 = add i32 %add0, %val1
int-add-03.ll 168 %add0 = add i64 %ret, %ext0
169 %add1 = add i64 %add0, %ext1
int-add-04.ll 168 %add0 = add i64 %ret, %ext0
169 %add1 = add i64 %add0, %ext1
int-add-08.ll 136 %add0 = add i128 %ret, %val0
137 %add1 = add i128 %add0, %val1
vec-combine-02.ll 395 %add0 = fadd float %elt0, %elt2
397 %ret = fmul float %add0, %add1
429 %add0 = add i32 %elt0, %elt2
431 %ret = or i32 %add0, %add1
  /external/tensorflow/tensorflow/compiler/xla/service/
buffer_liveness_test.cc 494 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary( local
511 builder.AddInstruction(HloInstruction::CreateTuple({add0, add1}));
523 // 1) (input_tuple_element, output_tuple_element) = ('tuple_element0', 'add0')
526 // Tuple output element 'add0' does not depend on input 'tuple_element1'.
558 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary( local
573 builder.AddInstruction(HloInstruction::CreateTuple({add0, add1}));
585 // 1) (input_tuple_element, output_tuple_element) = ('tuple_element0', 'add0')
588 // The first tuple element pair output 'add0', has no dependency on second
595 // compute that all references to 'tuple_element0' are executed before 'add0'
    [all...]
reshape_mover_test.cc 518 // +- reshape3 - add0
540 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary( local
545 builder.AddInstruction(HloInstruction::CreateReshape(shape3, add0));
copy_insertion_test.cc 441 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary( local
452 builder.AddInstruction(HloInstruction::CreateTuple({add0, add1}));
480 // add0 = Add(in0, 1)
481 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary( local
492 builder.AddInstruction(HloInstruction::CreateTuple({add0, data1, data2}));
548 // add0 = Add(in0, 1)
549 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary( local
571 builder.AddInstruction(HloInstruction::CreateTuple({add0, nested_tuple}));
573 builder.AddInstruction(HloInstruction::CreateTuple({add0, add1}));
597 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary local
    [all...]
  /art/compiler/optimizing/
scheduler_test.cc 226 HInstruction* add0 = new (GetAllocator()) HAdd(DataType::Type::kInt32, i, c0); local
236 new (GetAllocator()) HArraySet(arr, add0, c0, DataType::Type::kInt32, 0);
259 add0,
312 loc2 = heap_location_collector.GetArrayHeapLocation(arr, add0);
load_store_analysis_test.cc 197 HInstruction* add0 = new (GetAllocator()) HAdd(DataType::Type::kInt32, index, c0); local
206 new (GetAllocator()) HArraySet(array, add0, c0, DataType::Type::kInt32, 0);
220 entry->AddInstruction(add0);
254 loc1 = heap_location_collector.GetArrayHeapLocation(array, add0);
  /external/llvm/test/CodeGen/AMDGPU/
ds-sub-offset.ll 65 %add0 = add i32 123, %shl
67 %ptr0 = inttoptr i32 %add0 to i32 addrspace(3)*
salu-to-valu.ll 334 %add0 = add i32 %elt0, %elt1
335 %add1 = add i32 %add0, %elt2
414 %add0 = add i32 %elt0, %elt1
415 %add1 = add i32 %add0, %elt2
and.ll 231 %add0 = add i64 %and0, %c
233 store volatile i64 %add0, i64 addrspace(1)* %out
  /external/libvpx/libvpx/vpx_dsp/arm/
loopfilter_neon.c 174 const uint8x8_t add0, const uint8x8_t add1,
178 *sum = vaddw_u8(*sum, add0);
184 const uint8x16_t add0,
191 *sum0 = vaddw_u8(*sum0, vget_low_u8(add0));
192 *sum1 = vaddw_u8(*sum1, vget_high_u8(add0));
199 const uint8x8_t add0,
202 filter_update_8(sub0, sub1, add0, add1, sum);
207 const uint8x16_t sub0, const uint8x16_t sub1, const uint8x16_t add0,
209 filter_update_16(sub0, sub1, add0, add1, sum0, sum1);
215 const uint8x8_t add0, const uint8x8_t add1, const uint8x8_t in
    [all...]
highbd_loopfilter_neon.c 122 const uint16x8_t add0, const uint16x8_t add1,
126 *sum = vaddq_u16(*sum, add0);
132 const uint16x8_t add0,
135 filter_update(sub0, sub1, add0, add1, sum);
141 const uint16x8_t add0, const uint16x8_t add1, const uint16x8_t in,
143 filter_update(sub0, sub1, add0, add1, sum);
  /external/tensorflow/tensorflow/core/common_runtime/
constant_folding_test.cc 445 auto add0 = ops::Add(s.WithControlDependencies(c), rank, size); local
448 auto send0 = ops::_Send(s.WithOpName("send0"), add0, "send0", "sender", 0,
587 auto add0 = ops::Add(s, rank, rank); local
588 auto send0 = ops::_Send(s.WithOpName("send0"), add0, "send0", "sender", 0,
  /external/javassist/src/main/javassist/
CtNewMethod.java 413 * CtMethod addMethod = pool.getMethod("Sample", "add0");
423 * public Object add0(Object[] args) {
  /external/tensorflow/tensorflow/compiler/xla/service/gpu/
fusion_merger_test.cc 144 auto add0 = builder.AddInstruction(HloInstruction::CreateBinary( local
147 data_shape_, HloOpcode::kMultiply, add0, one_vec));
  /external/tensorflow/tensorflow/core/distributed_runtime/
executor_test.cc 327 auto add0 = test::graph::Add(g.get(), in0, in1); local
329 auto add2 = test::graph::Add(g.get(), add0, add1);
  /external/libvpx/libvpx/vpx_dsp/mips/
deblock_msa.c 661 v4i32 add0, add1, add2, add3; local
    [all...]
  /external/vulkan-validation-layers/libs/glm/detail/
type_mat4x4.inl 680 typename tmat4x4<T, P>::col_type const Add0 = Mul0 + Mul1;
686 typename tmat4x4<T, P>::col_type const Add2 = Add0 + Add1;

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