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/external/webp/src/dsp/
Dlossless_enc_neon.c78 #define CST(X) (((int16_t)(m->X << 8)) >> 6) in TransformColor_NEON() macro
80 CST(green_to_blue_), CST(green_to_red_), in TransformColor_NEON()
81 CST(green_to_blue_), CST(green_to_red_), in TransformColor_NEON()
82 CST(green_to_blue_), CST(green_to_red_), in TransformColor_NEON()
83 CST(green_to_blue_), CST(green_to_red_) in TransformColor_NEON()
87 0, CST(red_to_blue_), 0, CST(red_to_blue_), in TransformColor_NEON()
88 0, CST(red_to_blue_), 0, CST(red_to_blue_), in TransformColor_NEON()
91 #undef CST in TransformColor_NEON()
Dlossless_sse41.c27 #define CST(X) (((int16_t)(m->X << 8)) >> 5) // sign-extend in TransformColorInverse_SSE41() macro
29 _mm_set1_epi32((int)((uint32_t)CST(green_to_red_) << 16 | in TransformColorInverse_SSE41()
30 (CST(green_to_blue_) & 0xffff))); in TransformColorInverse_SSE41()
31 const __m128i mults_b2 = _mm_set1_epi32(CST(red_to_blue_)); in TransformColorInverse_SSE41()
32 #undef CST in TransformColorInverse_SSE41()
Dlossless_neon.c552 #define CST(X) (((int16_t)(m->X << 8)) >> 6) in TransformColorInverse_NEON() macro
554 CST(green_to_blue_), CST(green_to_red_), in TransformColorInverse_NEON()
555 CST(green_to_blue_), CST(green_to_red_), in TransformColorInverse_NEON()
556 CST(green_to_blue_), CST(green_to_red_), in TransformColorInverse_NEON()
557 CST(green_to_blue_), CST(green_to_red_) in TransformColorInverse_NEON()
561 0, CST(red_to_blue_), 0, CST(red_to_blue_), in TransformColorInverse_NEON()
562 0, CST(red_to_blue_), 0, CST(red_to_blue_), in TransformColorInverse_NEON()
565 #undef CST in TransformColorInverse_NEON()
/external/tensorflow/tensorflow/compiler/mlir/lite/tests/
Dconst-fold.mlir11 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<3.500000e+00> : tensor<4xf32>
17 …// CHECK: %0 = tfl.add %[[CST]], %[[CST_0]] {fused_activation_function = "SIGN_BIT"} : tensor<4xf3…
36 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<9> : tensor<i32>
57 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<3.000000e+00> : tensor<f32>
78 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<7> : tensor<i32>
99 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<6.750000e+00> : tensor<f32>
120 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<6.750000e+00> : tensor<bf16>
141 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<6.750000e+00> : tensor<f16>
215 // CHECK: %[[CST:.*]] = arith.constant dense<[-5, 4, 47, 105]> : tensor<4xi32>
216 // CHECK: return %[[CST]]
[all …]
Dlegalize-tf-hashtables.mlir9 // CHECK: [[CST:%.*]] = arith.constant dense<"f"> : tensor<!tf_type.string>
11 …// CHECK-NEXT: [[FIND:%.*]] = "tfl.hashtable_find"([[HASH_TABLE]], [[CST]], %arg0) : (tensor<1x!t…
24 // CHECK: [[CST:%.*]] = arith.constant dense<"f"> : tensor<!tf_type.string>
26 …// CHECK-NEXT: [[FIND:%.*]] = "tfl.hashtable_find"([[HASH_TABLE]], %arg0, [[CST]]) : (tensor<1x!t…
53 …// CHECK: [[CST:%.*]] = arith.constant dense<["emerson", "lake", "palmer"]> : tensor<3x!tf_t…
56 …// CHECK-NEXT: "tfl.hashtable_import"([[HASH_TABLE]], [[CST]], [[CST_0]]) : (tensor<1x!tf_type.r…
83 …// CHECK: [[CST:%.*]] = arith.constant dense<["emerson", "lake", "palmer"]> : tensor<3x!tf_t…
87 …// CHECK-NEXT: "tfl.hashtable_import"([[HASH_TABLE]], [[CST]], [[CST_1]]) : (tensor<1x!tf_type.r…
103 …// CHECK: [[CST:%.*]] = arith.constant dense<["emerson", "lake", "palmer"]> : tensor<3x!tf_t…
106 …// CHECK-NEXT: "tfl.hashtable_import"([[HASH_TABLE]], [[CST]], [[CST_0]]) : (tensor<1x!tf_type.r…
Dprepare-tf.mlir260 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<0> : tensor<3xi32>
262 …// CHECK: %[[STRIDED_SLICE:.*]] = "tf.StridedSlice"(%arg0, %[[CST]], %[[CST]], %[[CST_0]]) {begin_…
273 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<[0, 1, 0]> : tensor<3xi32>
276 …// CHECK: %[[STRIDED_SLICE:.*]] = "tf.StridedSlice"(%arg0, %[[CST]], %[[CST_0]], %[[CST_1]]) {begi…
286 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<0> : tensor<3xi32>
288 …// CHECK: %[[STRIDED_SLICE:.*]] = "tf.StridedSlice"(%arg0, %[[CST]], %[[CST]], %[[CST_0]]) {begin_…
298 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<0> : tensor<2xi32>
300 …// CHECK: %[[STRIDED_SLICE:.*]] = "tf.StridedSlice"(%arg0, %[[CST]], %[[CST]], %[[CST_0]]) {begin_…
355 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<[1, 0, 0, 1]> : tensor<4xi32>
358 // CHECK: %[[RESULT:.*]] = "tf.StridedSlice"(%arg0, %[[CST]], %[[CST0]], %[[CST1]])
[all …]
/external/strace/linux/x32/
Dsyscallent.h340 [512] = { 4, CST|TS, SEN(rt_sigaction), "rt_sigaction" },
341 [513] = { 0, CST|TS, SEN(rt_sigreturn), "rt_sigreturn" },
342 [514] = { 3, CST|TD, SEN(ioctl), "ioctl" },
343 [515] = { 3, CST|TD, SEN(readv), "readv" },
344 [516] = { 3, CST|TD, SEN(writev), "writev" },
345 [517] = { 6, CST|TN, SEN(recvfrom), "recvfrom" },
346 [518] = { 3, CST|TN, SEN(sendmsg), "sendmsg" },
347 [519] = { 3, CST|TN, SEN(recvmsg), "recvmsg" },
348 [520] = { 3, CST|TF|TP|SE|SI,SEN(execve), "execve" },
349 [521] = { 4, CST, SEN(ptrace), "ptrace" },
[all …]
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/Dialect/mhlo/canonicalize/
Dconvert.mlir133 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<42> : tensor<i32>
136 // CHECK-NEXT: return [[CST]]
144 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<42> : tensor<i32>
147 // CHECK-NEXT: return [[CST]]
155 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<4.{{0*}}e+00> : tensor<f32>
158 // CHECK-NEXT: return [[CST]]
166 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<-4.{{0*}}e+00> : tensor<f32>
169 // CHECK-NEXT: return [[CST]]
177 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<4.{{0*}}e+00> : tensor<bf16>
180 // CHECK-NEXT: return [[CST]]
[all …]
Dreshape.mlir5 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<42> : tensor<i32>
8 // CHECK-NEXT: return [[CST]]
16 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<42> : tensor<2xi32>
19 // CHECK-NEXT: return [[CST]]
27 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<42> : tensor<1xi32>
30 // CHECK-NEXT: return [[CST]]
38 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<42> : tensor<16xi64>
41 // CHECK-NEXT: return [[CST]]
49 // CHECK-NEXT: [[CST:%.+]] = mhlo.constant dense<42> : tensor<16xi64>
52 // CHECK-NEXT: return [[CST]]
[all …]
Dreduce.mlir38 // CHECK-DAG: %[[CST:.*]] = mhlo.constant dense<true> : tensor<i1>
40 // CHECK: return %[[CST]], %[[CST1]] : tensor<i1>, tensor<i1>
63 // CHECK-DAG: %[[CST:.*]] = mhlo.constant dense<false> : tensor<i1>
65 // CHECK: return %[[CST]], %[[CST1]] : tensor<i1>, tensor<i1>
/external/llvm/test/CodeGen/X86/
Dvec_uint_to_fp.ll1 …riple=x86_64-apple-macosx | FileCheck --check-prefix=CHECK --check-prefix=SSE --check-prefix=CST %s
2 …-macosx -mattr=+sse4.1 | FileCheck --check-prefix=CHECK --check-prefix=SSE41 --check-prefix=CST %s
3 …-apple-macosx -mattr=+avx | FileCheck --check-prefix=CHECK --check-prefix=AVX --check-prefix=CST %s
13 ; CST: [[LOWCSTADDR:LCPI0_[0-9]+]]:
14 ; CST-NEXT: .long 1258291200 ## 0x4b000000
15 ; CST-NEXT: .long 1258291200 ## 0x4b000000
16 ; CST-NEXT: .long 1258291200 ## 0x4b000000
17 ; CST-NEXT: .long 1258291200 ## 0x4b000000
19 ; CST: [[HIGHCSTADDR:LCPI0_[0-9]+]]:
20 ; CST-NEXT: .long 1392508928 ## 0x53000000
[all …]
Dvec_uint_to_fp-fastmath.ll2 ; RUN: | FileCheck %s --check-prefix=CHECK --check-prefix=SSE --check-prefix=CST
4 ; RUN: | FileCheck %s --check-prefix=CHECK --check-prefix=SSE --check-prefix=CST
6 ; RUN: | FileCheck %s --check-prefix=CHECK --check-prefix=AVX --check-prefix=CST
14 ; CST: [[MASKCSTADDR:.LCPI[0-9_]+]]:
15 ; CST-NEXT: .long 65535 # 0xffff
16 ; CST-NEXT: .long 65535 # 0xffff
17 ; CST-NEXT: .long 65535 # 0xffff
18 ; CST-NEXT: .long 65535 # 0xffff
20 ; CST: [[FPMASKCSTADDR:.LCPI[0-9_]+]]:
21 ; CST-NEXT: .long 1199570944 # float 65536
[all …]
Dpr24602.ll7 ; CHECK-NEXT: movabsq $-10000000000, [[CST:%[a-z0-9]+]]
8 ; CHECK-NEXT: imulq [[CST]], %rsi
10 ; CHECK-NEXT: movq [[CST]], (%rdi,%rsi,8)
/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/Dialect/mhlo/
Doptimize-hlo.mlir5 // CHECK: [[CST:%.+]] = mhlo.constant dense<0> : tensor<i64>
6 …// CHECK: [[SLICE:%.+]] = "mhlo.dynamic_slice"(%arg0, %arg1, [[CST]], [[CST]]) {slice_sizes = dens…
24 // CHECK: [[CST:%.+]] = mhlo.constant dense<0> : tensor<i64>
26 …// CHECK: [[SLICE:%.+]] = "mhlo.dynamic_slice"(%arg0, [[RESHAPE]], [[CST]], [[CST]]) {slice_sizes …
Dlegalize-to-std.mlir122 // CHECK-NEXT: %[[CST:.*]] = arith.constant dense<[0, 1, 2, 3]> : tensor<4xi32>
124 // CHECK-NEXT: return %[[CST]] : tensor<4xi32>
130 …// CHECK-NEXT: %[[CST:.*]] = arith.constant dense<{{\[\[}}0, 0, 0, 0], [1, 1, 1, 1]]> : tensor<2x4…
132 // CHECK-NEXT: return %[[CST]] : tensor<2x4xi32>
138 …// CHECK-NEXT: %[[CST:.*]] = arith.constant dense<{{\[\[}}0, 1, 2, 3], [0, 1, 2, 3]]> : tensor<2x4…
140 // CHECK-NEXT: return %[[CST]] : tensor<2x4xi32>
146 …// CHECK-NEXT: %[[CST:.*]] = arith.constant dense<{{\[\[\[}}0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0…
148 // CHECK-NEXT: return %[[CST]] : tensor<2x3x4xi32>
154 …// CHECK-NEXT: %[[CST:.*]] = arith.constant dense<{{\[\[\[}}0, 0, 0, 0], [1, 1, 1, 1], [2, 2, 2, 2…
156 // CHECK-NEXT: return %[[CST]] : tensor<2x3x4xi32>
[all …]
/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/
Dtf_optimize.mlir11 // CHECK: %[[CST:.*]] = "tf.Const{{.*}} dense<
15 …// CHECK: %[[CONV:.*]] = "tf.Conv2D"(%arg0, %[[CST]]) {data_format = "NHWC", dilations = [1, 2, 3,…
43 …// CHECK-DAG: %[[CST:.*]] = "tf.Const"() {value = dense<[8, 1, 1, 18]> : tensor<4xi64>} : () -> te…
45 …// CHECK: %[[RESHAPE:.*]] = "tf.Reshape"(%arg0, %[[CST]]) : (tensor<1x8x1x1x1x1x1x18xbf16>, tensor…
58 …// CHECK-DAG: %[[CST:.*]] = "tf.Const"() {value = dense<[1, 8, 1, 1, 18]> : tensor<5xi64>} : () ->…
60 …// CHECK: %[[RESHAPE:.*]] = "tf.Reshape"(%arg0, %[[CST]]) : (tensor<1x8x1x1x1x1x1x18xbf16>, tensor…
73 …// CHECK-DAG: %[[CST:.*]] = "tf.Const"() {value = dense<[1, 1, 1, 1, 18]> : tensor<5xi64>} : () ->…
75 …// CHECK: %[[RESHAPE:.*]] = "tf.Reshape"(%arg0, %[[CST]]) : (tensor<1x1x1x1x1x1x1x18xbf16>, tensor…
88 // CHECK-DAG: %[[CST:.*]] = arith.constant dense<[1, 8, 6, 1, 6, 1, 1, 18]> : tensor<8xi64>
90 …// CHECK: %[[BROADCAST:.*]] = "tf.BroadcastTo"(%arg0, %[[CST]]) : (tensor<1x8x1x1x1x1x1x18xbf16>, …
[all …]
Dinlining.mlir17 // CHECK-NEXT: %[[CST:.*]] = "tf.Const"
18 // CHECK-NEXT: return %[[CST]]
86 // CHECK-NEXT: %[[CST:.*]] = "tf.Const"
87 // CHECK-NEXT: tf_device.return %[[CST]]
111 // CHECK: %[[CST:.*]] = "tf.Const"
118 // CHECK-NEXT: tf_executor.yield %[[CST]], %[[CALL]]
138 // CHECK-NEXT: %[[CST:.*]] = "tf.Const"
140 // CHECK-NEXT: "tf.AssignVariableOp"(%[[VAR]], %[[CST]]
141 // CHECK-NEXT: return %[[CST]]
155 // CHECK-DAG: %[[CST:.*]] = "tf.Const"{{.*}}CPU{{.*}}i32
[all …]
Dinit_text_file_to_import.mlir11 …// CHECK-DAG: [[CST:%.*]] = arith.constant dense<["apple", "banana", "grape"]> : tensor<3x!tf_typ…
14 // CHECK: "tf.LookupTableImportV2"([[VAL]], [[CST]], [[CST_0]])
25 // CHECK-DAG: [[CST:%.*]] = arith.constant dense<["apple", "banana"]> : tensor<2x!tf_type.string>
28 // CHECK: "tf.LookupTableImportV2"([[VAL]], [[CST]], [[CST_0]])
Dinit_text_file_to_import_saved_model.mlir11 …// CHECK-DAG: [[CST:%.*]] = arith.constant dense<["apple", "banana", "grape"]> : tensor<3x!tf_typ…
14 // CHECK: "tf.LookupTableImportV2"([[VAL]], [[CST]], [[CST_0]])
25 // CHECK-DAG: [[CST:%.*]] = arith.constant dense<["apple", "banana"]> : tensor<2x!tf_type.string>
28 // CHECK: "tf.LookupTableImportV2"([[VAL]], [[CST]], [[CST_0]])
Dtf_saved_model_initialize_variables_in_session_init.mlir18 // CHECK: %[[CST:.*]] = arith.constant dense<> : tensor<0xf32>
19 // CHECK: "tf.AssignVariableOp"(%[[VAR]], %[[CST]])
43 // CHECK: %[[CST:.*]] = arith.constant dense<> : tensor<0xf32>
44 // CHECK: "tf.AssignVariableOp"(%[[VAR]], %[[CST]])
79 // CHECK: %[[CST:.*]] = arith.constant dense<> : tensor<0xf32>
80 // CHECK: "tf.AssignVariableOp"(%[[VAR]], %[[CST]])
/external/clang/test/CodeGen/
D2002-12-15-StructParameters.c14 compile_stack_type CST; in test() local
15 foo(&CST); in test()
17 bar(CST, 12); in test()
/external/tensorflow/tensorflow/compiler/mlir/tfrt/tests/lhlo_to_jitrt/
Dmemset_to_jitrt.mlir21 // CHECK: %[[CST:.*]] = arith.constant 0 : i32
23 // CHECK: call @[[MEMSET:.*]](%[[DST]], %[[CST]])
37 // CHECK: %[[CST:.*]] = arith.constant 0.000000e+00 : f32
39 // CHECK: call @[[MEMSET:.*]](%[[DST]], %[[CST]])
/external/tensorflow/tensorflow/compiler/mlir/quantization/tensorflow/tests/
Doptimize.mlir79 // CHECK: %[[CST:.*]] = "tf.Const"() {value = dense<-30> : tensor<i32>} : () -> tensor<i32>
80 // CHECK: %[[ADD:.*]] = "tf.AddV2"(%arg0, %[[CST]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
93 // CHECK: %[[CST:.*]] = "tf.Const"() {value = dense<6> : tensor<i32>} : () -> tensor<i32>
94 // CHECK: %[[SUB:.*]] = "tf.Sub"(%arg0, %[[CST]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
107 // CHECK: %[[CST:.*]] = "tf.Const"() {value = dense<6> : tensor<i32>} : () -> tensor<i32>
108 // CHECK: %[[ADD:.*]] = "tf.AddV2"(%arg0, %[[CST]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
121 // CHECK: %[[CST:.*]] = "tf.Const"() {value = dense<-30> : tensor<i32>} : () -> tensor<i32>
122 // CHECK: %[[SUB:.*]] = "tf.Sub"(%arg0, %[[CST]]) : (tensor<i32>, tensor<i32>) -> tensor<i32>
/external/tensorflow/tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/
Dsimple-graph.mlir12 // CHECK: %[[CST:.*]] = arith.constant dense<1> : tensor<4xi32>
13 // CHECK: [[VAL_0:%.*]] = "tfl.reshape"(%1, %[[CST]]) {tac.device = "GPU", tac.inference_type = "…
14 // CHECK: [[VAL_1:%.*]] = "tfl.reshape"(%2, %[[CST]]) {tac.device = "GPU", tac.inference_type = "…
/external/tensorflow/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/
Dimport_json.json3 // CHECK: %[[CST:.*]] = "tfl.no_value"() {value} : () -> none
4 // CHECK: %[[RES0:.*]] = "tfl.conv_2d"(%arg0, %arg1, %[[CST]]) {dilation_h_factor = 1 : i32, dilati…

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