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Searched refs:dim1 (Results 1 – 25 of 79) sorted by relevance

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/external/aac/libFDK/include/
DFDK_matrixCalloc.h111 void* fdkCallocMatrix1D(UINT dim1, UINT size);
112 void* fdkCallocMatrix1D_aligned(UINT dim1, UINT size);
115 void* fdkCallocMatrix1D_int(UINT dim1, UINT size, MEMORY_SECTION s);
116 void* fdkCallocMatrix1D_int_aligned(UINT dim1, UINT size, MEMORY_SECTION s);
123 void** fdkCallocMatrix2D(UINT dim1, UINT dim2, UINT size);
124 void** fdkCallocMatrix2D_aligned(UINT dim1, UINT dim2, UINT size);
127 void** fdkCallocMatrix2D_int(UINT dim1, UINT dim2, UINT size, MEMORY_SECTION s);
130 void** fdkCallocMatrix2D_int_aligned(UINT dim1, UINT dim2, UINT size,
140 void*** fdkCallocMatrix3D(UINT dim1, UINT dim2, UINT dim3, UINT size);
143 void*** fdkCallocMatrix3D_int(UINT dim1, UINT dim2, UINT dim3, UINT size,
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/external/aac/libFDK/src/
DFDK_matrixCalloc.cpp107 void *fdkCallocMatrix1D_aligned(UINT dim1, UINT size) { in fdkCallocMatrix1D_aligned() argument
108 return FDKaalloc(dim1 * size, ALIGNMENT_DEFAULT); in fdkCallocMatrix1D_aligned()
131 void *fdkCallocMatrix1D(UINT dim1, UINT size) { return FDKcalloc(dim1, size); } in fdkCallocMatrix1D() argument
134 void **fdkCallocMatrix2D(UINT dim1, UINT dim2, UINT size) { in fdkCallocMatrix2D() argument
138 if (!dim1 || !dim2) return NULL; in fdkCallocMatrix2D()
139 if ((p1 = (void **)fdkCallocMatrix1D(dim1, sizeof(void *))) == NULL) { in fdkCallocMatrix2D()
142 if ((p2 = (char *)fdkCallocMatrix1D(dim1 * dim2, size)) == NULL) { in fdkCallocMatrix2D()
147 for (i = 0; i < dim1; i++) { in fdkCallocMatrix2D()
155 void **fdkCallocMatrix2D_aligned(UINT dim1, UINT dim2, UINT size) { in fdkCallocMatrix2D_aligned() argument
159 if (!dim1 || !dim2) return NULL; in fdkCallocMatrix2D_aligned()
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Dnlc_dec.cpp309 const INT dim1, SCHAR* out_data, const INT num_val, in huff_dec_1D() argument
325 nodeTab = (HANDLE_HUFF_NODE)&FDK_huffCLDNodes.h1D[dim1]->nodeTab[0][0]; in huff_dec_1D()
329 nodeTab = (HANDLE_HUFF_NODE)&FDK_huffICCNodes.h1D[dim1]->nodeTab[0][0]; in huff_dec_1D()
333 nodeTab = (HANDLE_HUFF_NODE)&huffOLDNodes.h1D[dim1]->nodeTab[0][0]; in huff_dec_1D()
337 nodeTab = (HANDLE_HUFF_NODE)&FDK_huffIPDNodes.h1D[dim1].nodeTab[0][0]; in huff_dec_1D()
389 const INT dim1, const INT dim2, SCHAR out_data[][2], in huff_dec_2D() argument
455 (HANDLE_HUFF_NODE)&FDK_huffCLDNodes.h2D[dim1][dim2]->lav3[0][0]; in huff_dec_2D()
459 (HANDLE_HUFF_NODE)&FDK_huffCLDNodes.h2D[dim1][dim2]->lav5[0][0]; in huff_dec_2D()
463 (HANDLE_HUFF_NODE)&FDK_huffCLDNodes.h2D[dim1][dim2]->lav7[0][0]; in huff_dec_2D()
467 (HANDLE_HUFF_NODE)&FDK_huffCLDNodes.h2D[dim1][dim2]->lav9[0][0]; in huff_dec_2D()
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/external/eigen/unsupported/test/
Dcxx11_tensor_ifft.cpp40 static void test_2D_fft_ifft_invariant(int dim0, int dim1) { in test_2D_fft_ifft_invariant() argument
41 Tensor<double, 2, DataLayout> tensor(dim0, dim1); in test_2D_fft_ifft_invariant()
55 VERIFY_IS_EQUAL(tensor_after_fft.dimension(1), dim1); in test_2D_fft_ifft_invariant()
57 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(1), dim1); in test_2D_fft_ifft_invariant()
60 for (int j = 0; j < dim1; ++j) { in test_2D_fft_ifft_invariant()
68 static void test_3D_fft_ifft_invariant(int dim0, int dim1, int dim2) { in test_3D_fft_ifft_invariant() argument
69 Tensor<double, 3, DataLayout> tensor(dim0, dim1, dim2); in test_3D_fft_ifft_invariant()
84 VERIFY_IS_EQUAL(tensor_after_fft.dimension(1), dim1); in test_3D_fft_ifft_invariant()
87 VERIFY_IS_EQUAL(tensor_after_fft_ifft.dimension(1), dim1); in test_3D_fft_ifft_invariant()
91 for (int j = 0; j < dim1; ++j) { in test_3D_fft_ifft_invariant()
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/external/tensorflow/tensorflow/core/kernels/
Dsplit_v_op_test.cc93 #define BM_SPLITV_2D(split_dim, num_split, dim0, dim1) \ argument
94 static void BM_SplitV_2d_##split_dim##_##num_split##dim0##dim1( \
96 std::vector<int64_t> total_size_vec{dim0, dim1}; \
98 num_split, split_dim, dim0, dim1); \
103 {dim0, dim1}); \
106 dim1); \
108 BENCHMARK(BM_SplitV_2d_##split_dim##_##num_split##dim0##dim1)->UseRealTime();
110 #define BM_SPLITV_3D(split_dim, num_split, dim0, dim1, dim2) \ argument
111 static void BM_SplitV_3d_##split_dim##_##num_split##dim0##dim1##dim2( \
113 std::vector<int64_t> total_size_vec{dim0, dim1, dim2}; \
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Dbroadcast_to_op_test.cc27 static Graph* BroadcastTo(int dim0, int dim1, InputShape input_shape) { in BroadcastTo() argument
30 Tensor input(DT_FLOAT, input_shape(dim0, dim1)); in BroadcastTo()
35 shape.flat<int32>()(1) = dim1; in BroadcastTo()
52 [](int dim0, int dim1) { \
67 [](int dim0, int dim1) { \
68 return TensorShape({1, dim1}); \
Dfingerprint_op.cc94 int64_t dim1; in Compute() local
96 dim1 = 0; in Compute()
98 dim1 = input.shape().num_elements() / dim0; in Compute()
107 if (dim1 > 1) { in Compute()
120 {dim0, dim1 * kFingerprintSize}), in Compute()
129 {dim0, dim1 * DataTypeSize(input.dtype())}); in Compute()
Dconcat_lib_cpu.cc69 const auto dim1 = input->dimension(1); in EstimateBytesPerElement() local
71 if (dim0 > 0 && dim1 > 0) { in EstimateBytesPerElement()
82 for (auto j : {zero, dim1 / 2, dim1 - 1}) { in EstimateBytesPerElement()
/external/tensorflow/tensorflow/lite/kernels/internal/
Dtranspose_utils_test.cc364 int dim0, dim1; in TEST() local
366 params, input_shape, &dim0, &dim1); in TEST()
370 EXPECT_EQ(dim1, 5); in TEST()
382 int dim0, dim1; in TEST() local
384 params, input_shape, &dim0, &dim1); in TEST()
388 EXPECT_EQ(dim1, 30); in TEST()
400 int dim0, dim1; in TEST() local
402 params, input_shape, &dim0, &dim1); in TEST()
406 EXPECT_EQ(dim1, 6); in TEST()
418 int dim0, dim1; in TEST() local
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Dtranspose_utils.cc22 int* dim1) { in IsTranspose2DApplicable() argument
27 *dim1 = input_shape.Dims(1); in IsTranspose2DApplicable()
42 *dim1 = 1; in IsTranspose2DApplicable()
47 *dim1 *= input_shape.Dims(i); in IsTranspose2DApplicable()
/external/ply/ply/example/BASIC/
Dbasinterp.py91 var, dim1, dim2 = expr[1]
92 if not dim1 and not dim2:
100 if dim1 and not dim2:
103 return self.functions[var](dim1)
107 dim1val = self.eval(dim1)
113 if dim1 and dim2:
115 dim1val = self.eval(dim1)
169 var, dim1, dim2 = target
170 if not dim1 and not dim2:
172 elif dim1 and not dim2:
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/external/tensorflow/tensorflow/compiler/xla/mlir_hlo/tests/Dialect/gml_st/
Dlegacy_peeling.mlir11 // CHECK-TILE-2: %[[dim1:.*]] = tensor.dim %[[input]], %[[c1]]
16 // CHECK-TILE-2-SAME: to (%[[dim0]], %[[dim1]], %[[split_bound]])
27 // CHECK-TILE-2-SAME: to (%[[dim0]], %[[dim1]], %[[dim2]])
73 // CHECK-TILE-012-SKIP-PARTIAL-DAG: %[[dim1:.*]] = tensor.dim %[[input]], %[[c1]]
76 // CHECK-TILE-012-SKIP-PARTIAL: %[[p1:.*]] = affine.apply #{{.*}}()[%[[dim1]]
80 …SKIP-PARTIAL: gml_st.loop {{.*}} = (%[[c0]], %[[p1]], %[[c0]]) to (%[[p0]], %[[dim1]], %[[dim2]])
81 …IP-PARTIAL: gml_st.loop {{.*}} = (%[[p0]], %[[c0]], %[[c0]]) to (%[[dim0]], %[[dim1]], %[[dim2]])
90 %dim1 = tensor.dim %arg0, %c1 : tensor<?x?x?xf32>
92 %output = linalg.init_tensor [%dim0, %dim1, %dim2] : tensor<?x?x?xf32>
94 (%arg1, %arg2, %arg3) = (%c0, %c0, %c0) to (%dim0, %dim1, %dim2)
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/external/tensorflow/tensorflow/compiler/aot/
Dcodegen_test_h.golden131 float& arg0(size_t dim0, size_t dim1) {
133 arg_data(0)))[dim0][dim1];
138 const float& arg0(size_t dim0, size_t dim1) const {
140 arg_data(0)))[dim0][dim1];
155 float& arg_myfeed(size_t dim0, size_t dim1) {
157 arg_data(0)))[dim0][dim1];
162 const float& arg_myfeed(size_t dim0, size_t dim1) const {
164 arg_data(0)))[dim0][dim1];
179 int64_t& arg1(size_t dim0, size_t dim1) {
181 arg_data(1)))[dim0][dim1];
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/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DTensor.h348 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit Tensor(Index dim1) in Tensor() argument
349 : m_storage(dim1, array<Index, 1>(dim1)) in Tensor()
353 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2) in Tensor() argument
354 : m_storage(dim1*dim2, array<Index, 2>(dim1, dim2)) in Tensor()
358 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Index dim3) in Tensor() argument
359 : m_storage(dim1*dim2*dim3, array<Index, 3>(dim1, dim2, dim3)) in Tensor()
363 EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Index dim3, Index dim4) in Tensor() argument
364 : m_storage(dim1*dim2*dim3*dim4, array<Index, 4>(dim1, dim2, dim3, dim4)) in Tensor()
368 …EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Tensor(Index dim1, Index dim2, Index dim3, Index dim4, Index… in Tensor() argument
369 : m_storage(dim1*dim2*dim3*dim4*dim5, array<Index, 5>(dim1, dim2, dim3, dim4, dim5)) in Tensor()
DTensorMap.h98 …LINE TensorMap(StoragePointerType dataPtr, Index dim1, Index dim2) : m_data(dataPtr), m_dimensions… in TensorMap() argument
102 …ensorMap(StoragePointerType dataPtr, Index dim1, Index dim2, Index dim3) : m_data(dataPtr), m_dime… in TensorMap() argument
106 …ap(StoragePointerType dataPtr, Index dim1, Index dim2, Index dim3, Index dim4) : m_data(dataPtr), … in TensorMap() argument
110 …ragePointerType dataPtr, Index dim1, Index dim2, Index dim3, Index dim4, Index dim5) : m_data(data… in TensorMap() argument
/external/armnn/src/armnn/layers/
DLogicalBinaryLayer.cpp47 unsigned int dim1 = input1[i]; in InferOutputShapes() local
49 ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1, in InferOutputShapes()
52 dims[i] = std::max(dim0, dim1); in InferOutputShapes()
DElementwiseBaseLayer.cpp43 unsigned int dim1 = input1[i - shiftedDims]; in InferOutputShapes() local
46 ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1, in InferOutputShapes()
49 dims[i] = std::max(dim0, dim1); in InferOutputShapes()
DComparisonLayer.cpp55 unsigned int dim1 = input1[i - shiftedDims]; in InferOutputShapes() local
58 ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1, in InferOutputShapes()
61 dims[i] = std::max(dim0, dim1); in InferOutputShapes()
DElementwiseBinaryLayer.cpp51 unsigned int dim1 = input1[i - shiftedDims]; in InferOutputShapes() local
54 ARMNN_ASSERT_MSG(dim0 == dim1 || dim0 == 1 || dim1 == 1, in InferOutputShapes()
57 dims[i] = std::max(dim0, dim1); in InferOutputShapes()
/external/webrtc/modules/audio_coding/codecs/ilbc/
Dmy_corr.c30 size_t dim1, /* (i) dimension first seq1 */ in WebRtcIlbcfix_MyCorr() argument
42 max1 = WebRtcSpl_MaxAbsValueW16(seq1, dim1) + 1; in WebRtcIlbcfix_MyCorr()
50 loops=dim1-dim2+1; in WebRtcIlbcfix_MyCorr()
/external/tensorflow/tensorflow/lite/kernels/shim/
Dshape.cc73 int Shape::AddDims(const int dim1, const int dim2) { in AddDims() argument
74 if (dim1 == kUnknownDim || dim2 == kUnknownDim) return kUnknownDim; in AddDims()
75 return dim1 + dim2; in AddDims()
/external/armnn/src/backends/reference/workloads/
DSlice.cpp52 unsigned int dim1 = paddedInput[1]; in Slice() local
67 ARMNN_ASSERT(begin1 + size1 <= dim1); in Slice()
84 (((idx0 * dim1 + idx1) * dim2 + idx2) * dim3 + idx3) * dataTypeSize; in Slice()
/external/tensorflow/tensorflow/compiler/xla/
Dliteral_util.h445 int64_t dim1 = 0; in CreateR3Projected() local
449 array(dim0, dim1, dim2) = value; in CreateR3Projected()
453 ++dim1; in CreateR3Projected()
455 CHECK_EQ(dim1_size, dim1); in CreateR3Projected()
471 for (int64_t dim1 = 0; dim1 < dim1_size; ++dim1) { in CreateR4Projected() local
476 array(dim0, dim1, dim2, dim3) = value; in CreateR4Projected()
/external/angle/third_party/vulkan-deps/glslang/src/glslang/HLSL/
DhlslParseables.cpp213 … AppendTypeName(glslang::TString& s, const char* argOrder, const char* argType, int dim0, int dim1) in AppendTypeName() argument
227 std::swap(dim0, dim1); in AppendTypeName()
274 dim0 = dim1 = fixedVecSize; in AppendTypeName()
277 const char dim1Char = ('0' + char(dim1)); in AppendTypeName()
294 (order == 'M' && (dim1 < 1 || dim1 > 4))) { in AppendTypeName()
910 … for (int dim1 = dim1Min; dim1 <= dim1Max; ++dim1) { // for each dim 1... in initialize() local
914 … if (!IsValid(intrinsic.name, *retOrder, *retType, *argOrder, *argType, dim0, dim1)) in initialize()
921 AppendTypeName(s, retOrder, retType, dim0, dim1); // add return type in initialize()
971 … AppendTypeName(s, nthArgOrder, nthArgType, argDim0, dim1); // Add arguments in initialize()
/external/deqp-deps/glslang/glslang/HLSL/
DhlslParseables.cpp213 … AppendTypeName(glslang::TString& s, const char* argOrder, const char* argType, int dim0, int dim1) in AppendTypeName() argument
227 std::swap(dim0, dim1); in AppendTypeName()
274 dim0 = dim1 = fixedVecSize; in AppendTypeName()
277 const char dim1Char = ('0' + char(dim1)); in AppendTypeName()
294 (order == 'M' && (dim1 < 1 || dim1 > 4))) { in AppendTypeName()
910 … for (int dim1 = dim1Min; dim1 <= dim1Max; ++dim1) { // for each dim 1... in initialize() local
914 … if (!IsValid(intrinsic.name, *retOrder, *retType, *argOrder, *argType, dim0, dim1)) in initialize()
921 AppendTypeName(s, retOrder, retType, dim0, dim1); // add return type in initialize()
971 … AppendTypeName(s, nthArgOrder, nthArgType, argDim0, dim1); // Add arguments in initialize()

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