| /external/bazel-skylib/tests/ |
| D | new_sets_tests.bzl | 28 asserts.true(env, sets.is_equal(sets.make(), sets.make()))
29 asserts.false(env, sets.is_equal(sets.make(), sets.make([1])))
30 asserts.false(env, sets.is_equal(sets.make([1]), sets.make()))
31 asserts.true(env, sets.is_equal(sets.make([1]), sets.make([1])))
32 asserts.false(env, sets.is_equal(sets.make([1]), sets.make([1, 2])))
33 asserts.false(env, sets.is_equal(sets.make([1]), sets.make([2])))
34 asserts.false(env, sets.is_equal(sets.make([1]), sets.make([1, 2])))
37 asserts.true(env, sets.is_equal(sets.make([1, 1]), sets.make([1])))
41 is_equal_test = unittest.make(_is_equal_test)
47 asserts.true(env, sets.is_subset(sets.make(), sets.make()))
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| /external/skia/tests/ |
| D | PolyUtilsTest.cpp | 28 *poly.append() = SkPoint::Make(-100, 55); in DEF_TEST()
29 *poly.append() = SkPoint::Make(100, 55); in DEF_TEST()
30 *poly.append() = SkPoint::Make(102.5f, 54.330127f); in DEF_TEST()
46 // make degenerate in DEF_TEST()
93 *poly.append() = SkPoint::Make(-100, 55); in DEF_TEST()
94 *poly.append() = SkPoint::Make(100, 55); in DEF_TEST()
95 *poly.append() = SkPoint::Make(100 + 2.5f, 50 + 4.330127f); in DEF_TEST()
96 *poly.append() = SkPoint::Make(100 + 3.535534f, 50 + 3.535534f); in DEF_TEST()
97 *poly.append() = SkPoint::Make(100 + 4.330127f, 50 + 2.5f); in DEF_TEST()
98 *poly.append() = SkPoint::Make(105, 50); in DEF_TEST()
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| D | OffsetSimplePolyTest.cpp | 22 *rrectPoly.append() = SkPoint::Make(-100, 55); in DEF_TEST()
23 *rrectPoly.append() = SkPoint::Make(100, 55); in DEF_TEST()
24 *rrectPoly.append() = SkPoint::Make(100 + 2.5f, 50 + 4.330127f); in DEF_TEST()
25 *rrectPoly.append() = SkPoint::Make(100 + 3.535534f, 50 + 3.535534f); in DEF_TEST()
26 *rrectPoly.append() = SkPoint::Make(100 + 4.330127f, 50 + 2.5f); in DEF_TEST()
27 *rrectPoly.append() = SkPoint::Make(105, 50); in DEF_TEST()
28 *rrectPoly.append() = SkPoint::Make(105, -50); in DEF_TEST()
29 *rrectPoly.append() = SkPoint::Make(100 + 4.330127f, -50 - 2.5f); in DEF_TEST()
30 *rrectPoly.append() = SkPoint::Make(100 + 3.535534f, -50 - 3.535534f); in DEF_TEST()
31 *rrectPoly.append() = SkPoint::Make(100 + 2.5f, -50 - 4.330127f); in DEF_TEST()
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| D | InsetConvexPolyTest.cpp | 18 *rrectPoly.append() = SkPoint::Make(-100, 55); in DEF_TEST()
19 *rrectPoly.append() = SkPoint::Make(100, 55); in DEF_TEST()
20 *rrectPoly.append() = SkPoint::Make(100 + 2.5f, 50 + 4.330127f); in DEF_TEST()
21 *rrectPoly.append() = SkPoint::Make(100 + 3.535534f, 50 + 3.535534f); in DEF_TEST()
22 *rrectPoly.append() = SkPoint::Make(100 + 4.330127f, 50 + 2.5f); in DEF_TEST()
23 *rrectPoly.append() = SkPoint::Make(105, 50); in DEF_TEST()
24 *rrectPoly.append() = SkPoint::Make(105, -50); in DEF_TEST()
25 *rrectPoly.append() = SkPoint::Make(100 + 4.330127f, -50 - 2.5f); in DEF_TEST()
26 *rrectPoly.append() = SkPoint::Make(100 + 3.535534f, -50 - 3.535534f); in DEF_TEST()
27 *rrectPoly.append() = SkPoint::Make(100 + 2.5f, -50 - 4.330127f); in DEF_TEST()
[all …]
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| /external/cblas/ |
| D | Makefile | 7 @ echo "Make sure you are using correct Makefile.in for your system."
19 @ echo "make <target>"
21 @ echo "slib1 --- make an archive of level 1 REAL."
22 @ echo "dlib1 --- make an archive of level 1 DOUBLE PRECISION."
23 @ echo "clib1 --- make an archive of level 1 COMPLEX."
24 @ echo "zlib1 --- make an archive of level 1 COMPLEX*16."
25 @ echo "alllib1 - make an archive of level 1 all precisions."
27 @ echo "slib2 --- make an archive of level 2 REAL."
28 @ echo "dlib2 --- make an archive of level 2 DOUBLE PRECSION."
29 @ echo "clib2 --- make an archive of level 2 COMPLEX."
[all …]
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| /external/pytorch/test/cpp/tensorexpr/ |
| D | test_registerizer.cpp | 18 StmtPtr stmt = Block::make( in TEST()
19 {Store::make(a, {0}, 0), in TEST()
20 For::make( in TEST()
24 Block::make( in TEST()
25 {Store::make(a, {0}, Add::make(Load::make(a, {0}), x))}))}); in TEST()
62 StmtPtr stmt = Block::make( in TEST()
63 {Store::make(a, {0}, 0), in TEST()
64 For::make( in TEST()
68 Block::make( in TEST()
69 {Store::make(a, {x}, Add::make(Load::make(a, {x}), x))}))}); in TEST()
[all …]
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| /external/ComputeLibrary/tests/validation/dynamic_fusion/gpu/cl/ |
| D | Cast.cpp | 50 …MM8toF32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::data…
53 …astU8toS8Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
54 …astU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
55 …astU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
56 …astU8toU32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
57 …astU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
58 …astU8toF16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
59 …astU8toF32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
62 …astS8toU8Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset…
63 …astS8toU16Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset…
[all …]
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| /external/ComputeLibrary/tests/validation/CL/ |
| D | Cast.cpp | 52 …MM8toF32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::data…
55 …astU8toS8Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
56 …astU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
57 …astU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
58 …astU8toU32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
59 …astU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
60 …astU8toF16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
61 …astU8toF32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset…
64 …astS8toU8Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset…
65 …astS8toU16Dataset = combine(framework::dataset::make("DataType", DataType::S8), framework::dataset…
[all …]
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| D | DirectConvolutionLayer.cpp | 56 … data_strides = combine(framework::dataset::make("StrideX", 1, 3), framework::dataset::ma…
57 …o data_strides_small = combine(framework::dataset::make("StrideX", 1), framework::dataset::make…
58 …= combine(framework::dataset::make("PadX", 0, 1), combine(framework::dataset::make("PadY", 0, 1), …
59 …l = combine(framework::dataset::make("PadX", 0), combine(framework::dataset::make("PadY", 0), fra…
60 …= combine(framework::dataset::make("PadX", 0, 2), combine(framework::dataset::make("PadY", 0, 2), …
61 …= combine(framework::dataset::make("PadX", 0, 3), combine(framework::dataset::make("PadY", 0, 3), …
62 …= combine(framework::dataset::make("PadX", 0, 3), combine(framework::dataset::make("PadY", 0, 3), …
63 …= combine(framework::dataset::make("PadX", 0, 1), combine(framework::dataset::make("PadY", 0, 1), …
73 const auto data_nightly = combine(data, framework::dataset::make("NumKernels", { 1, 4 }));
74 const auto data_nightly_9x9 = combine(data9x9, framework::dataset::make("NumKernels", { 1, 4 })…
[all …]
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| D | DepthwiseConvolutionLayer.cpp | 51 const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 4 });
52 const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 8 });
55 const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
68 …framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32), … in TEST_SUITE()
79 … framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
90 … framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
101 … framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
112 framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
123 framework::dataset::make("DepthMultiplier", { 1,
134 framework::dataset::make("Dilation", { Size2D(1U, 1U),
[all …]
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| D | PixelWiseMultiplication.cpp | 49 const auto EmptyActivationFunctionsDataset = framework::dataset::make("Acti…
51 const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
56 const auto InPlaceDataSet = framework::dataset::make("InPlace", { false });
66 … framework::dataset::make("DataType1", DataType::DT1)), \
67 … framework::dataset::make("DataType2", DataType::DT2)), \
68 … framework::dataset::make("Scale", std::move(SCALE))), \
70 framework::dataset::make("RoundingPolicy", RoundingPolicy::RP)), ACT), \
94 … framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8), in TEST_SUITE()
100 … framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
106 … framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
[all …]
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| D | PoolingLayer.cpp | 48 …P = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Si…
49 …framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0), PadS…
50 … framework::dataset::make("ExcludePadding", { true, false }));
52 …l = combine(combine(combine(datasets::PoolingTypes(), framework::dataset::make("PoolingSize", { Si…
53 … framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(2, 1, 0, 0) })),
54 … framework::dataset::make("ExcludePadding", { true, false }));
57 const auto PoolingLayerDatasetQASYMM8 = combine(concat(combine(combine(framework::dataset::make("Po…
61 framework::dataset::make("PoolingSize", { Size2D(2, 2), Size2D(3, 3) })),
62 framework::dataset::make("PadStride", { PadStrideInfo(1, 1, 0, 0), PadStrideInfo(1, 2, 1, 1), PadSt…
63 …rk::dataset::make("PoolingType", { PoolingType::AVG }), framework::dataset::make("PoolingSize", { …
[all …]
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| D | DepthwiseConvolutionLayerNative.cpp | 65 const auto width_values_precommit = framework::dataset::make("width", { 1U, 33U } );
68 const auto width_values_nightly = framework::dataset::make("width", { 53U, 47U } );
71 const auto height_values_precommit = framework::dataset::make("height", { 19U } );
74 const auto height_values_nightly = framework::dataset::make("height", { 39U, 43U } );
77 const auto channel_values_precommit = framework::dataset::make("channels", { 15U });
80 const auto channel_values_nightly = framework::dataset::make("channels", { 33U, 19U });
83 const auto channel_values_export_to_cl_image_precommit = framework::dataset::make("channels", { 16U…
86 const auto channel_values_export_to_cl_image_nightly = framework::dataset::make("channels", { 32U }…
89 const auto batch_values_precommit = framework::dataset::make("batch", { 1U, 2U });
92 const auto batch_values_nightly = framework::dataset::make("batch", { 1U, 3U });
[all …]
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| D | DeconvolutionLayer.cpp | 51 …amework::dataset::make("InputShape", TensorShape{ 10U, 10U, 1U, 1U }) *framework::dataset::make("S…
53 *framework::dataset::make("PadLeft", 3)
54 …rk::dataset::make("PadRight", 4) *framework::dataset::make("PadTop", 3) *framework::dataset::make(…
56 …ework::dataset::make("InputShape", TensorShape{ 640U, 360U, 56U, 1U }) *framework::dataset::make("…
58 *framework::dataset::make("PadLeft", 3)
59 …rk::dataset::make("PadRight", 4) *framework::dataset::make("PadTop", 3) *framework::dataset::make(…
61 …hapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * …
62 … * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("NumKernels", { 3 });
64 …hapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * …
65 … * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("NumKernels", { 3 });
[all …]
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| /external/zstd/.github/workflows/ |
| D | nightly.yml | 20 make -C programs zstd
21 make -C tests/regression test
24 #- make -C tests test-zstd-nolegacy && make clean
25 #- pyenv global 3.4.4; make -C tests versionsTest && make clean
26 #- make zlibwrapper && make clean
27 #- gcc -v; make -C tests test32 MOREFLAGS="-I/usr/include/x86_64-linux-gnu" && make clean
28 #- make uasan && make clean
29 #- make asan32 && make clean
30 #- make -C tests test32 CC=clang MOREFLAGS="-g -fsanitize=address -I/usr/include/x86_64-linux-gnu"
32 #- CFLAGS="-O1 -g" make -C zlibWrapper valgrindTest && make clean
[all …]
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| D | commit.yml | 29 CFLAGS="-O0 -Werror -pedantic" make allmost; make clean
30 make c99build; make clean
31 make c11build; make clean
32 make -j regressiontest; make clean
33 make check; make clean
34 make cxxtest; make clean
49 run: make gnu90build && make clean
51 run: make gnu99build && make clean
53 run: make ppc64build V=1 && make clean
55 run: make ppcbuild V=1 && make clean
[all …]
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| D | dev-short-tests.yml | 21 …run: make -C contrib/linux-kernel test CFLAGS="-Werror -Wunused-const-variable -Wunused-but-set-va…
27 - name: make benchmarking
28 run: make benchmarking
34 - name: make check on 32-bit
37 APT_PACKAGES="gcc-multilib" make apt-install
38 CFLAGS="-m32 -O1 -fstack-protector" make check V=1
46 make c89build V=1
54 make -C lib lib-mt-release
55 DEBUGLEVEL=2 make -C programs zstd-dll
66 make gcc7install
[all …]
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| D | dev-long-tests.yml | 15 make-all:
19 - name: make all
20 run: make all
23 make-test:
30 - name: make test
31 run: make test
34 make-test-macos:
38 - name: make test on macos
39 run: make test
42 make-test-32bit:
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| /external/pytorch/torch/csrc/jit/tensorexpr/ |
| D | expr.cpp | 9 return Add::make(*this, other); in operator +()
13 return Sub::make(*this, other); in operator -()
17 return Mul::make(*this, other); in operator *()
21 return Div::make(*this, other); in operator /()
25 return Mod::make(*this, other); in operator %()
29 return CompareSelect::make(*this, other, CompareSelectOperation::kEQ); in operator ==()
33 return CompareSelect::make(*this, other, CompareSelectOperation::kNE); in operator !=()
37 return CompareSelect::make(*this, other, CompareSelectOperation::kGT); in operator >()
41 return CompareSelect::make(*this, other, CompareSelectOperation::kGE); in operator >=()
45 return CompareSelect::make(*this, other, CompareSelectOperation::kLT); in operator <()
[all …]
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| /external/zstd/ |
| D | Makefile | 53 $(Q)$(MAKE) -C $(PRGDIR) all
54 $(Q)$(MAKE) -C $(TESTDIR) all
58 $(MAKE) -C $(PRGDIR) zstd32
59 $(MAKE) -C $(TESTDIR) all32
63 $(Q)$(MAKE) -C $(ZSTDDIR) $@
67 $(Q)$(MAKE) -C $(PRGDIR) $@
72 $(Q)$(MAKE) -C $(PRGDIR) $@
77 $(MAKE) -C $(ZWRAPDIR) all
84 DEBUGLEVEL=$(DEBUGLEVEL) MOREFLAGS="$(MOREFLAGS)" $(MAKE) -j -C $(PRGDIR) allVariants
85 $(MAKE) -C $(TESTDIR) $@
[all …]
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| /external/lz4/.circleci/ |
| D | config.yml | 46 - run: CC=clang CFLAGS="-Werror -O0" make all && make clean
47 - run: c++ -v; make cxxtest && make clean
48 - run: cc -v; c++ -v; make ctocxxtest && make clean
49 - run: gcc-5 -v; CC=gcc-5 CFLAGS="-O2 -Werror" make check && make clean
50 …C=gcc-5 CFLAGS="-O2 -m32 -Werror" CPPFLAGS=-I/usr/include/x86_64-linux-gnu make check && make clean
51 - run: gcc-6 -v; CC=gcc-6 CFLAGS="-O2 -Werror" make check && make clean
52 - run: make cmakebuild && make clean
53 - run: make -C tests test-lz4
54 - run: make -C tests test-lz4c
55 - run: make -C tests test-frametest
[all …]
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| /external/ComputeLibrary/tests/validation/NEON/ |
| D | DepthwiseConvolutionLayer.cpp | 56 const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 8 });
57 const auto large_depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 5, 32 });
60 const auto ActivationFunctionsDataset = framework::dataset::make("ActivationInfo",
66 const auto input_qinfo_dataset = framework::dataset::make("InputQInfo",
79 …framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32), … in TEST_SUITE()
91 …framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U, 2U), 1, DataType::F16…
103 … framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
115 … framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
127 framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
139 framework::dataset::make("DepthMultiplier", { 1,
[all …]
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| D | DeconvolutionLayer.cpp | 54 …hapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * …
55 … * framework::dataset::make("PadY", 0, 3) * framework::dataset::make("NumKernels", { 3 });
57 …hapes() * framework::dataset::make("StrideX", 1, 4) * framework::dataset::make("StrideY", 1, 4) * …
58 … * framework::dataset::make("PadY", 0, 2) * framework::dataset::make("NumKernels", { 3 });
60 …hapes() * framework::dataset::make("StrideX", 1, 2) * framework::dataset::make("StrideY", 1, 2) * …
61 …taset::make("PadRight", 0, 1) * framework::dataset::make("PadTop", 0, 1) * framework::dataset::mak…
63 …amework::dataset::make("InputShape", TensorShape{ 10U, 10U, 1U, 1U }) *framework::dataset::make("S…
65 *framework::dataset::make("PadLeft", 3)
66 …rk::dataset::make("PadRight", 4) *framework::dataset::make("PadTop", 3) *framework::dataset::make(…
68 …ework::dataset::make("InputShape", TensorShape{ 640U, 360U, 56U, 1U }) *framework::dataset::make("…
[all …]
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| /external/libsrtp2/ |
| D | .travis.yml | 25 - make
26 - make runtest
27 - make runtest-valgrind
28 - make distclean
31 - make
32 - make test
47 - make
48 - make runtest
49 - make runtest-valgrind
50 - make distclean
[all …]
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| /external/intel-media-driver/.github/workflows/ |
| D | ubuntu.yml | 54 make
64 make -j$(nproc)
65 sudo make install
71 make VERBOSE=1 -j$(nproc)
72 sudo make install
81 make VERBOSE=1 -j$(nproc)
82 sudo make install
123 make
133 make -j$(nproc)
134 sudo make install
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