/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | buffer_comparator_test.cc | 106 CompareEqualFloatBuffers<Eigen::half>({std::nanf("")}, {std::nanf("")})); in TEST_F() 108 EXPECT_TRUE(CompareEqualFloatBuffers<Eigen::half>({std::nanf("")}, in TEST_F() 109 {std::nanf("1234")})); in TEST_F() 110 EXPECT_FALSE(CompareEqualFloatBuffers<Eigen::half>({std::nanf("")}, {1.})); in TEST_F() 113 CompareEqualFloatBuffers<float>({std::nanf("")}, {std::nanf("")})); in TEST_F() 116 CompareEqualFloatBuffers<float>({std::nanf("")}, {std::nanf("1234")})); in TEST_F() 117 EXPECT_FALSE(CompareEqualFloatBuffers<float>({std::nanf("")}, {1.})); in TEST_F() 120 CompareEqualFloatBuffers<double>({std::nanf("")}, {std::nanf("")})); in TEST_F() 123 CompareEqualFloatBuffers<double>({std::nanf("")}, {std::nanf("1234")})); in TEST_F() 124 EXPECT_FALSE(CompareEqualFloatBuffers<double>({std::nanf("")}, {1.})); in TEST_F() [all …]
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/external/XNNPACK/eval/ |
D | f32-extexp.cc | 41 std::fill(m.begin(), m.end(), std::nanf("")); in ExpError() 42 std::fill(e.begin(), e.end(), std::nanf("")); in ExpError() 58 std::fill(m.begin(), m.end(), std::nanf("")); in ExpError() 59 std::fill(e.begin(), e.end(), std::nanf("")); in ExpError()
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D | f32-exp.cc | 40 std::fill(y.begin(), y.end(), std::nanf("")); in ExpError() 56 std::fill(y.begin(), y.end(), std::nanf("")); in ExpError()
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D | f32-expminus.cc | 37 std::fill(y.begin(), y.end(), std::nanf("")); in ExpError()
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D | f32-sigmoid.cc | 40 std::fill(y.begin(), y.end(), std::nanf("")); in SigmoidError() 57 std::fill(y.begin(), y.end(), std::nanf("")); in SigmoidError()
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/external/XNNPACK/test/ |
D | raddextexp-microkernel-tester.h | 60 float sum[2] = { nanf(""), nanf("") }; in Test()
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D | raddstoreexpminusmax-microkernel-tester.h | 55 std::fill(y.begin(), y.end(), std::nanf("")); in Test() 67 float sum = std::nanf(""); in Test()
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D | vmulcaddc-microkernel-tester.h | 141 std::fill(y.begin(), y.end(), nanf("")); 145 std::fill(packed_w.begin(), packed_w.end(), nanf(""));
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D | raddexpminusmax-microkernel-tester.h | 62 float sum = std::nanf(""); in Test()
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D | vscale-microkernel-tester.h | 71 std::fill(y.begin(), y.end(), nanf(""));
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D | rmax-microkernel-tester.h | 85 float y = std::nanf(""); in Test()
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D | hswish-microkernel-tester.h | 71 std::fill(y.begin(), y.end(), std::nanf(""));
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D | binary-elementwise-operator-tester.h | 133 return std::nanf(""); in Compute() 183 std::fill(output.begin(), output.end(), nanf("")); in TestF32()
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D | gavgpool-spchw-microkernel-tester.h | 90 std::fill(y.begin(), y.end(), std::nanf(""));
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D | vunary-microkernel-tester.h | 93 std::fill(y.begin(), y.end(), nanf(""));
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/external/XNNPACK/bench/ |
D | f32-softmax.cc | 59 float x_max = nanf(""); in ThreePassSoftMaxWithRecomputing() 61 float y_sum = nanf(""); in ThreePassSoftMaxWithRecomputing() 114 float x_max = nanf(""); in ThreePassSoftMaxWithReloading() 116 float y_sum = nanf(""); in ThreePassSoftMaxWithReloading()
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D | f32-raddextexp.cc | 51 float y_sum[2] = { nanf(""), nanf("") }; in f32_raddextexp()
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D | f32-raddexpminusmax.cc | 50 float x_max = nanf(""); in f32_raddexpminusmax() 57 float y_sum = nanf(""); in f32_raddexpminusmax()
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D | f32-vscaleexpminusmax.cc | 51 float x_max = nanf(""); in f32_vscaleexpminusmax() 53 float y_sum = nanf(""); in f32_vscaleexpminusmax()
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/external/tensorflow/tensorflow/core/common_runtime/gpu/ |
D | gpu_debug_allocator.cc | 172 std::nanf("")); in AllocateRaw() 189 std::nanf("")); in DeallocateRaw()
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/external/clang/lib/Headers/ |
D | __clang_cuda_math_forward_declares.h | 146 __DEVICE__ float nanf(const char *); 240 using ::nanf;
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/external/libcxx/include/support/ibm/ |
D | limits.h | 47 #define __builtin_nanf(__dummy) nanf(__dummy) // 0x7ff80000
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/external/clang/test/CodeGen/ |
D | builtins.c | 47 Q(nanf, ("")); in main() 51 Q(nanf, ("10")); in main()
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D | libcall-declarations.c | 35 float nanf(const char *); 269 F(nanf), F(nanl), F(pow), F(powf), F(powl),
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/external/XNNPACK/src/ |
D | global-average-pooling-ncw.c | 81 …global_average_pooling_op->f32_gavgpool_params = xnn_init_f32_gavgpool_params(nanf(""), output_min… in xnn_create_global_average_pooling_ncw_f32()
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