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Searched refs:t_1 (Results 1 – 11 of 11) sorted by relevance

/external/llvm-project/compiler-rt/test/fuzzer/
Dstandalone.test1 RUN: %no_fuzzer_c_compiler %libfuzzer_src/standalone/StandaloneFuzzTargetMain.c -c -o %t_1.o
4 RUN: %no_fuzzer_cpp_compiler %t_1.o %t_2.o -o %t-StandaloneInitializeTest
/external/skqp/src/gpu/gradients/
DGrTiledGradientEffect.fp27 half t_1 = t.x - 1;
28 half tiled_t = t_1 - 2 * floor(t_1 * 0.5) - 1;
/external/skia/src/gpu/gradients/
DGrTiledGradientEffect.fp28 half t_1 = t.x - 1;
29 half tiled_t = t_1 - 2 * floor(t_1 * 0.5) - 1;
/external/llvm-project/llvm/test/tools/llvm-profdata/
Doverlap.test4 RUN: llvm-profdata merge %p/Inputs/overlap_1.proftext -o %t_1.profdata
6 RUN: llvm-profdata overlap %t_1.profdata %t_2.profdata | FileCheck %s -check-prefix=OVERLAP
/external/tensorflow/tensorflow/python/kernel_tests/array_ops/
Dstack_op_test.py328 t_1 = ops.convert_to_tensor([[0., 0., 0.], constant_op.constant(
330 self.assertEqual(dtypes.float64, t_1.dtype)
359 t_1 = ops.convert_to_tensor([0, 0, 0])
360 self.assertEqual(dtypes.int32, t_1.dtype)
362 t_2 = ops.convert_to_tensor([t_0, t_0, t_1], dtype=dtypes.float64)
/external/webp/src/dsp/
Dupsampling_sse41.c56 const __m128i t_1 = _mm_unpacklo_epi8(t_a, t_b); \
58 _mm_store_si128(((__m128i*)(out)) + 0, t_1); \
Dupsampling_sse2.c54 const __m128i t_1 = _mm_unpacklo_epi8(t_a, t_b); \
56 _mm_store_si128(((__m128i*)(out)) + 0, t_1); \
Ddec_sse2.c279 const __m128i t_1 = MM_ABS(*p1, *p0); in GetNotHEV_SSE2() local
283 const __m128i t_max = _mm_max_epu8(t_1, t_2); in GetNotHEV_SSE2()
/external/llvm-project/lldb/test/API/functionalities/data-formatter/data-formatter-advanced/
Dmain.cpp91 int t_1; member
/external/tensorflow/tensorflow/core/graph/
Dgraph_test.cc241 const Node* t_1; in TEST_F() local
244 TF_ASSERT_OK(t->input_node(1, &t_1)); in TEST_F()
245 EXPECT_EQ(t, t_1); in TEST_F()
/external/llvm-project/mlir/include/mlir/Dialect/Vector/
DVectorOps.td244 a n-D vector <t_1 x .. x t_n x type> if
249 t_1 x .. t_n-k x t_n-k+1 x .. x t_i x .. x t_n
296 v2 : <t_1 x t_2 x .. x t_k x type>
301 above, all mask values are in the range [0,s_1+t_1)