/external/clang/test/Misc/ |
H A D | ast-print-pragmas-xfail.cpp | 9 // CHECK-NEXT: #pragma loop interleave(8) 11 // CHECK-NEXT: #pragma loop interleave(enable) 13 #pragma loop interleave(8) 15 #pragma loop interleave(enable)
|
H A D | ast-print-pragmas.cpp | 20 // CHECK: #pragma clang loop interleave(disable) 26 #pragma clang loop interleave(disable) 33 // CHECK: #pragma clang loop interleave(enable) 39 #pragma clang loop interleave(enable)
|
/external/clang/test/Parser/ |
H A D | pragma-loop-safety.cpp | 10 #pragma clang loop interleave(assume_safety) 16 /* expected-error {{expected ')'}} */ #pragma clang loop interleave(assume_safety 22 /* expected-error {{invalid argument; expected 'enable', 'assume_safety' or 'disable'}} */ #pragma clang loop interleave(badidentifier) 30 /* expected-error {{duplicate directives 'interleave(assume_safety)' and 'interleave(enable)'}} */ #pragma clang loop interleave(enable) 31 #pragma clang loop interleave(assume_safety)
|
H A D | pragma-loop.cpp | 83 #pragma clang loop interleave(enable) 97 #pragma clang loop interleave(disable) 114 #pragma clang loop vectorize(disable) interleave(disable) unroll(disable) 132 /* expected-error {{expected '('}} */ #pragma clang loop interleave 137 /* expected-error {{expected ')'}} */ #pragma clang loop interleave(enable 150 /* expected-error {{missing option; expected vectorize, vectorize_width, interleave, interleave_count, unroll, unroll_count, or distribute}} */ #pragma clang loop 201 /* expected-error {{invalid argument; expected 'enable', 'assume_safety' or 'disable'}} */ #pragma clang loop interleave(badidentifier) 211 /* expected-error {{invalid argument; expected 'enable', 'assume_safety' or 'disable'}} */ #pragma clang loop interleave(*) 236 /* expected-error {{incompatible directives 'interleave(disable)' and 'interleave_count(4)'}} */ #pragma clang loop interleave_count(4) 237 #pragma clang loop interleave(disabl [all...] |
/external/clang/test/CodeGenCXX/ |
H A D | pragma-loop-safety.cpp | 10 #pragma clang loop vectorize(assume_safety) interleave(disable) unroll(disable) 33 #pragma clang loop interleave(assume_safety) vectorize(disable) unroll(disable) 50 // CHECK: ![[INTERLEAVE_1]] = !{!"llvm.loop.interleave.count", i32 1}
|
H A D | pragma-loop.cpp | 36 #pragma clang loop interleave(enable) 163 // CHECK: ![[INTERLEAVE_4]] = !{!"llvm.loop.interleave.count", i32 4} 175 // CHECK: ![[INTERLEAVE_2]] = !{!"llvm.loop.interleave.count", i32 2} 183 // CHECK: ![[INTERLEAVE_8]] = !{!"llvm.loop.interleave.count", i32 8} 188 // CHECK: ![[INTERLEAVE_10]] = !{!"llvm.loop.interleave.count", i32 10} 191 // CHECK: ![[INTERLEAVE_16]] = !{!"llvm.loop.interleave.count", i32 16}
|
/external/syslinux/core/fs/iso9660/ |
H A D | iso9660_fs.h | 31 uint8_t interleave; /* 1b */ member in struct:iso_dir_entry
|
/external/clang/test/PCH/ |
H A D | pragma-loop.cpp | 12 // CHECK: #pragma clang loop interleave(disable) 16 // CHECK: #pragma clang loop interleave(enable) 43 #pragma clang loop interleave(disable) 55 #pragma clang loop interleave(enable)
|
/external/fec/ |
H A D | sse2bfly27.s | 98 # interleave and store new branch metrics in mm0,2 100 punpckhbw %xmm2,%xmm0 # interleave second 16 new metrics 101 punpcklbw %xmm2,%xmm4 # interleave first 16 new metrics 105 # interleave decisions & store
|
H A D | ssebfly27.s | 91 # interleave and store new branch metrics in mm0,2 93 punpckhbw %mm2,%mm0 # interleave second 8 new metrics 94 punpcklbw %mm2,%mm4 # interleave first 8 new metrics 98 # interleave decisions, accumulate into %ebx
|
H A D | ssebfly29.s | 89 # interleave and store new branch metrics in mm0,2 91 punpckhbw %mm2,%mm0 # interleave second 8 new metrics 92 punpcklbw %mm2,%mm4 # interleave first 8 new metrics 96 # interleave decisions, accumulate into %ebx
|
/external/python/cpython3/Tools/parser/ |
H A D | unparse.py | 12 def interleave(inter, f, seq): function 84 interleave(lambda: self.write(", "), self.dispatch, t.names) 92 interleave(lambda: self.write(", "), self.dispatch, t.names) 137 interleave(lambda: self.write(", "), self.dispatch, t.targets) 148 interleave(lambda: self.write(", "), self.write, t.names) 152 interleave(lambda: self.write(", "), self.write, t.names) 319 interleave(lambda: self.write(", "), self.dispatch, t.items) 326 interleave(lambda: self.write(", "), self.dispatch, t.items) 399 interleave(lambda: self.write(", "), self._write_constant, value) 413 interleave(lambd [all...] |
/external/tensorflow/tensorflow/python/data/kernel_tests/ |
H A D | interleave_dataset_op_test.py | 110 .interleave(lambda x: dataset_ops.Dataset.from_tensors(x).repeat(x), 190 dataset_ops.Dataset.range(10).map(_map_fn).interleave( 208 .interleave(dataset_ops.Dataset.from_tensors, cycle_length=2)
|
H A D | dataset_from_generator_op_test.py | 107 # The interleave transformation is essentially a flat map that 110 # interleave, we test its behavior when multiple iterators are 112 # interleave, we create the possibility of parallel (modulo GIL) 122 .interleave(interleave_fn, cycle_length=10, 150 # the current implementation of `Dataset.interleave()` must 173 # `Dataset.interleave()` and `Dataset.prefetch()` to cause multiple 181 .interleave(
|
/external/python/cpython2/Demo/parser/ |
H A D | unparse.py | 11 def interleave(inter, f, seq): function 84 interleave(lambda: self.write(", "), self.dispatch, t.names) 96 interleave(lambda: self.write(", "), self.dispatch, t.names) 128 interleave(lambda: self.write(", "), self.dispatch, t.targets) 163 interleave(lambda: self.write(", "), self.write, t.names) 345 interleave(lambda: self.write(", "), self.dispatch, t.elts) 399 interleave(lambda: self.write(", "), self.dispatch, t.elts) 409 interleave(lambda: self.write(", "), write_pair, zip(t.keys, t.values)) 419 interleave(lambda: self.write(", "), self.dispatch, t.elts) 464 interleave(lambd [all...] |
/external/ltp/testcases/kernel/numa/ |
H A D | numa01.sh | 27 # Test #4: Verifies memory interleave on all nodes # 28 # Test #5: Verifies share memory interleave on all nodes # 206 numactl --interleave=all support_numa alloc_1MB & 216 "NUMA interleave memory allocated in node$node is less than expected" 223 tst_res TPASS "NUMA interleave policy" 233 numactl --interleave=all support_numa alloc_1MB_shared & 243 "NUMA interleave share memory allocated in node$node is less than expected" 251 tst_res TPASS "NUMA interleave policy on shared memory" 311 # Verification of memhog with interleave policy 318 numactl --interleave [all...] |
/external/adhd/scripts/mic_testing/frontend/ |
H A D | recorder.js | 249 var interleaved = interleave(recBuffersL, recBuffersR); 293 interleave = function(inputL, inputR) { 285 interleave = function(inputL, inputR) { function
|
/external/kernel-headers/original/uapi/linux/ |
H A D | iso_fs.h | 154 __u8 interleave [ISODCL (28, 28)]; /* 711 */ member in struct:iso_directory_record
|
/external/tensorflow/tensorflow/contrib/data/python/ops/ |
H A D | dataset_ops.py | 389 d = d.interleave(tf.data.TFRecordDataset, 530 def interleave(self, map_func, cycle_length, block_length=1): member in class:Dataset 533 For example, you can use `Dataset.interleave()` to process many input files 537 # Preprocess 4 files concurrently, and interleave blocks of 16 records from 541 .interleave(lambda x: 565 a.interleave(lambda x: Dataset.from_tensors(x).repeat(6),
|
/external/ImageMagick/coders/ |
H A D | cin.c | 82 interleave, 575 cin.data_format.interleave=(unsigned char) ReadBlobByte(image); 1060 cin.data_format.interleave=0; /* pixel interleave (rgbrgbr...) */ 1061 offset+=WriteBlobByte(image,cin.data_format.interleave); 80 interleave, member in struct:_CINDataFormatInfo
|
/external/libvpx/libvpx/vp8/encoder/x86/ |
H A D | dct_sse2.asm | 240 ; interleave c1, d1 331 ; interleave c1, d1
|
/external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
H A D | interleave_dataset_op_test.py | 47 repeat_count).interleave( 91 return dataset_ops.Dataset.range(10).map(_map_fn).interleave( 151 """Python implementation of interleave used for testing.""" 236 # cycle_length=1,block_length=1 acts like `Dataset.interleave()` and 302 # Explicit coordination should result in `Dataset.interleave()` behavior 388 # Explicit coordination should result in `Dataset.interleave()` behavior
|
/external/tensorflow/tensorflow/python/grappler/ |
H A D | datasets_test.py | 354 dataset = dataset.interleave(
|
/external/bouncycastle/bcprov/src/main/java/org/bouncycastle/math/ec/ |
H A D | LongArray.java | 1243 interleave(A.m_ints, 0, c, 0, aLen, width); 1735 private static void interleave(long[] x, int xOff, long[] z, int zOff, int count, int width) method in class:LongArray
|
/external/tensorflow/tensorflow/python/data/ops/ |
H A D | dataset_ops.py | 687 d = d.interleave(tf.data.TFRecordDataset, 807 def interleave(self, map_func, cycle_length, block_length=1): member in class:Dataset 810 For example, you can use `Dataset.interleave()` to process many input files 814 # Preprocess 4 files concurrently, and interleave blocks of 16 records from 818 .interleave(lambda x: 842 a.interleave(lambda x: Dataset.from_tensors(x).repeat(6), 1716 """See `Dataset.interleave()` for details."""
|