/external/ltp/testcases/kernel/syscalls/getrandom/ |
H A D | getrandom03.c | 39 static unsigned int sizes[] = { variable 55 TEST(tst_syscall(__NR_getrandom, buf, sizes[n], 0)); 57 if (TEST_RETURN != sizes[n]) { 59 TEST_RETURN, sizes[n]); 66 .tcnt = ARRAY_SIZE(sizes),
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/external/python/cpython2/Lib/test/ |
H A D | test_imgfile.py | 26 sizes = imgfile.getsizes(name) 37 sizes = imgfile.getsizes(name) 39 print 'Opening test image: %s, sizes: %s' % (name, str(sizes)) 54 imgfile.write (outputfile, image, sizes[0], sizes[1], sizes[2]) 58 print 'Opening scaled test image: %s, sizes: %s' % (name, str(sizes)) 60 # is scaled to the given x and y sizes [all...] |
/external/mesa3d/src/mesa/drivers/dri/i965/ |
H A D | brw_ir_allocator.h | 37 sizes(NULL), offsets(NULL), count(0), total_size(0), capacity(0) 44 free(sizes); 52 sizes = (unsigned *)realloc(sizes, capacity * sizeof(unsigned)); 56 sizes[count] = size; 64 * Array of sizes for each allocation. The allocation unit is up to the 68 unsigned *sizes; member in class:brw::simple_allocator
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/external/skia/tests/ |
H A D | YUVTest.cpp | 79 SkISize sizes[3]; local 81 sizes[0].set(128, 128); 82 sizes[1].set(64, 64); 83 sizes[2].set(64, 64); 84 codec_yuv(r, "images/color_wheel.jpg", sizes); 87 sizes[0].set(512, 512); 88 sizes[1].set(256, 256); 89 sizes[2].set(256, 256); 90 codec_yuv(r, "images/mandrill_512_q075.jpg", sizes); 93 sizes[ [all...] |
/external/skqp/tests/ |
H A D | YUVTest.cpp | 79 SkISize sizes[3]; local 81 sizes[0].set(128, 128); 82 sizes[1].set(64, 64); 83 sizes[2].set(64, 64); 84 codec_yuv(r, "images/color_wheel.jpg", sizes); 87 sizes[0].set(512, 512); 88 sizes[1].set(256, 256); 89 sizes[2].set(256, 256); 90 codec_yuv(r, "images/mandrill_512_q075.jpg", sizes); 93 sizes[ [all...] |
/external/tensorflow/tensorflow/compiler/aot/ |
H A D | runtime.h | 31 // aligned_buffer_bytes returns the sum of each size in `sizes`, skipping -1 32 // values. There are `n` entries in `sizes`. Each buffer is aligned to kAlign 34 size_t aligned_buffer_bytes(const intptr_t* sizes, size_t n); 37 // generated by tfcompile. `sizes` is an array of byte sizes for each buffer, 39 // `sizes`. If `annotate_initialized` is set, the allocated memory will be 47 void* MallocContiguousBuffers(const intptr_t* sizes, size_t n, void** bufs,
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H A D | runtime.cc | 64 size_t aligned_buffer_bytes(const intptr_t* sizes, size_t n) { argument 67 if (sizes[i] != -1) { 68 total += align_to(sizes[i], kAlign); 74 void* MallocContiguousBuffers(const intptr_t* sizes, size_t n, void** bufs, argument 76 const size_t total = aligned_buffer_bytes(sizes, n); 88 if (sizes[i] == -1) { 92 pos += align_to(sizes[i], kAlign);
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/external/skia/src/core/ |
H A D | SkVertices.cpp | 65 const SkVertices::Sizes& sizes) { 66 this->init(mode, vertexCount, indexCount, sizes); 70 const SkVertices::Sizes& sizes) { 71 if (!sizes.isValid()) { 75 void* storage = ::operator new (sizes.fTotal); 81 fVertices->fPositions = (SkPoint*)ptr; ptr += sizes.fVSize; 82 fVertices->fTexs = sizes.fTSize ? (SkPoint*)ptr : nullptr; ptr += sizes.fTSize; 83 fVertices->fColors = sizes.fCSize ? (SkColor*)ptr : nullptr; ptr += sizes 64 Builder(VertexMode mode, int vertexCount, int indexCount, const SkVertices::Sizes& sizes) argument 69 init(VertexMode mode, int vertexCount, int indexCount, const SkVertices::Sizes& sizes) argument [all...] |
/external/skqp/src/core/ |
H A D | SkVertices.cpp | 65 const SkVertices::Sizes& sizes) { 66 this->init(mode, vertexCount, indexCount, sizes); 70 const SkVertices::Sizes& sizes) { 71 if (!sizes.isValid()) { 75 void* storage = ::operator new (sizes.fTotal); 81 fVertices->fPositions = (SkPoint*)ptr; ptr += sizes.fVSize; 82 fVertices->fTexs = sizes.fTSize ? (SkPoint*)ptr : nullptr; ptr += sizes.fTSize; 83 fVertices->fColors = sizes.fCSize ? (SkColor*)ptr : nullptr; ptr += sizes 64 Builder(VertexMode mode, int vertexCount, int indexCount, const SkVertices::Sizes& sizes) argument 69 init(VertexMode mode, int vertexCount, int indexCount, const SkVertices::Sizes& sizes) argument [all...] |
/external/tensorflow/tensorflow/contrib/lite/kernels/internal/ |
H A D | tensor_test.cc | 26 EXPECT_THAT(d.sizes, ElementsAre(5, 4, 3, 2)); 32 EXPECT_THAT(d.sizes, ElementsAre(5, 4, 3, 1)); 38 EXPECT_THAT(d.sizes, ElementsAre(5, 4, 1, 1)); 44 EXPECT_THAT(d.sizes, ElementsAre(5, 1, 1, 1));
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/external/skia/src/gpu/effects/ |
H A D | GrYUVtoRGBEffect.fp | 43 const SkISize sizes[3], 72 const SkISize sizes[3], 76 w[0] = SkIntToScalar(sizes[0].fWidth); 77 h[0] = SkIntToScalar(sizes[0].fHeight); 78 w[1] = SkIntToScalar(sizes[1].fWidth); 79 h[1] = SkIntToScalar(sizes[1].fHeight); 80 w[2] = SkIntToScalar(sizes[2].fWidth); 81 h[2] = SkIntToScalar(sizes[2].fHeight); 86 ((sizes[1].fWidth != sizes[ [all...] |
/external/skqp/src/gpu/effects/ |
H A D | GrYUVtoRGBEffect.fp | 43 const SkISize sizes[3], 72 const SkISize sizes[3], 76 w[0] = SkIntToScalar(sizes[0].fWidth); 77 h[0] = SkIntToScalar(sizes[0].fHeight); 78 w[1] = SkIntToScalar(sizes[1].fWidth); 79 h[1] = SkIntToScalar(sizes[1].fHeight); 80 w[2] = SkIntToScalar(sizes[2].fWidth); 81 h[2] = SkIntToScalar(sizes[2].fHeight); 86 ((sizes[1].fWidth != sizes[ [all...] |
/external/eigen/bench/ |
H A D | dense_solvers.cpp | 12 std::vector<Array2i> sizes; variable 104 sizes.push_back(Array2i(small,small)); 105 sizes.push_back(Array2i(100,100)); 106 sizes.push_back(Array2i(1000,1000)); 107 sizes.push_back(Array2i(4000,4000)); 108 sizes.push_back(Array2i(10000,small)); 109 sizes.push_back(Array2i(10000,100)); 110 sizes.push_back(Array2i(10000,1000)); 111 sizes.push_back(Array2i(10000,4000)); 115 for(int k=0; k<sizes [all...] |
/external/libdrm/radeon/ |
H A D | radeon_cs_space.c | 45 static inline int radeon_cs_setup_bo(struct radeon_cs_space_check *sc, struct rad_sizes *sizes) argument 74 sizes->op_vram_write += bo->size; 76 sizes->op_gart_write += bo->size; 79 sizes->op_read += bo->size; 92 sizes->op_read -= bo->size; 93 sizes->op_vram_write += bo->size; 95 sizes->op_read -= bo->size; 96 sizes->op_gart_write += bo->size; 117 struct rad_sizes sizes; local 125 memset(&sizes, [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
H A D | reshape_op.h | 37 const Tensor& sizes = context->input(1); variable 38 // Preliminary validation of sizes. 39 OP_REQUIRES(context, IsLegacyVector(sizes.shape()), 40 errors::InvalidArgument("sizes input must be 1-D, not ", 41 sizes.shape().DebugString())); 48 switch (sizes.dtype()) { 50 OP_REQUIRES_OK(context, ValidateSizes<int32>(sizes, &product, 54 OP_REQUIRES_OK(context, ValidateSizes<int64>(sizes, &product, 60 DataTypeString(sizes.dtype()))); 68 "input sizes ar 94 ValidateSizes(const Tensor& sizes, int64* product, int* unknown_index, TensorShape* shape) argument [all...] |
/external/tensorflow/tensorflow/core/kernels/neon/ |
H A D | types.h | 27 int sizes[N]; member in struct:tensorflow::neon::Dims 32 DCHECK(i0 >= 0 && i0 < dims.sizes[0]); 33 DCHECK(i1 >= 0 && i1 < dims.sizes[1]); 34 DCHECK(i2 >= 0 && i2 < dims.sizes[2]); 35 DCHECK(i3 >= 0 && i3 < dims.sizes[3]); 44 return array.sizes[index]; 65 max_offset += (dims.sizes[i] - 1) * dims.strides[i];
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/external/tensorflow/tensorflow/examples/android/src/org/tensorflow/demo/env/ |
H A D | Size.java | 82 public static List<Size> sizeStringToList(final String sizes) { argument 84 if (sizes != null) { 85 final String[] pairs = sizes.split(","); 96 public static String sizeListToString(final List<Size> sizes) { argument 98 if (sizes != null && sizes.size() > 0) { 99 sizesString = sizes.get(0).toString(); 100 for (int i = 1; i < sizes.size(); i++) { 101 sizesString += "," + sizes.get(i).toString();
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/external/pdfium/third_party/libtiff/ |
H A D | tif_flush.c | 50 uint64 *offsets=NULL, *sizes=NULL; local 55 && TIFFGetField( tif, TIFFTAG_TILEBYTECOUNTS, &sizes ) 59 tif->tif_dir.td_nstrips, sizes ) ) 69 && TIFFGetField( tif, TIFFTAG_STRIPBYTECOUNTS, &sizes ) 73 tif->tif_dir.td_nstrips, sizes ) )
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/external/tensorflow/tensorflow/contrib/lite/kernels/internal/optimized/ |
H A D | cblas_conv.h | 72 int m = gemm_input_dims->sizes[1] * gemm_input_dims->sizes[2] * 73 gemm_input_dims->sizes[3]; 74 int n = output_dims.sizes[0]; 75 int k = gemm_input_dims->sizes[0];
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/external/tensorflow/tensorflow/core/framework/ |
H A D | tracking_allocator_test.cc | 78 std::tuple<size_t, size_t, size_t> sizes = ta->GetSizes(); local 80 EXPECT_EQ(16, std::get<0>(sizes)); 81 EXPECT_EQ(0, std::get<1>(sizes)); 82 EXPECT_EQ(0, std::get<2>(sizes)); 102 sizes = ta->GetSizes(); 104 EXPECT_LE(16, std::get<0>(sizes)); 105 EXPECT_LE(12, std::get<1>(sizes)); 106 EXPECT_LE(12, std::get<2>(sizes)); 127 std::tuple<size_t, size_t, size_t> sizes = ta->GetSizes(); local 129 EXPECT_EQ(16, std::get<0>(sizes)); 152 std::tuple<size_t, size_t, size_t> sizes = ta->GetSizes(); local 170 std::tuple<size_t, size_t, size_t> sizes = ta->GetSizes(); local [all...] |
/external/tensorflow/tensorflow/python/ops/ |
H A D | nn_xent_test.py | 46 def _Inputs(self, x=None, y=None, dtype=dtypes.float64, sizes=None): 50 sizes = sizes if sizes else [len(x)] 51 logits = constant_op.constant(x, shape=sizes, dtype=dtype, name="logits") 52 targets = constant_op.constant(y, shape=sizes, dtype=dtype, name="targets") 53 losses = np.array(self._SigmoidCrossEntropyWithLogits(x, y)).reshape(*sizes) 78 logits, targets, losses = self._Inputs(dtype=dtype, sizes=[2, 2, 2]) 86 sizes = [4, 2] 88 logits, targets, _ = self._Inputs(sizes [all...] |
/external/python/cpython3/Tools/msi/ |
H A D | generate_md5.py | 6 filenames, hashes, sizes = [], [], [] 18 sizes.append(str(len(data))) 21 for f, h, s in zip(filenames, hashes, sizes):
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/external/v8/src/arm64/ |
H A D | cpu-arm64.cc | 48 CacheLineSizes sizes; local 49 uintptr_t dsize = sizes.dcache_line_size(); 50 uintptr_t isize = sizes.icache_line_size(); 51 // Cache line sizes are always a power of 2.
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/external/skia/src/sksl/ast/ |
H A D | SkSLASTType.h | 24 ASTType(int offset, StringFragment name, Kind kind, std::vector<int> sizes) argument 28 , fSizes(std::move(sizes)) {} 38 // array sizes, -1 meaning unspecified
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/external/skqp/src/sksl/ast/ |
H A D | SkSLASTType.h | 24 ASTType(int offset, StringFragment name, Kind kind, std::vector<int> sizes) argument 28 , fSizes(std::move(sizes)) {} 38 // array sizes, -1 meaning unspecified
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