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

/packages/modules/NeuralNetworks/common/cpu_operations/
DDensify.cpp92 const std::vector<int32_t>& dimFormat, const int32_t* traversalOrder, in populate() argument
114 if (dimFormat[level] == DENSE) { // DENSE dimension format in populate()
119 dimFormat, traversalOrder, blockSize, blockMap, dimMetadata, origRank); in populate()
126 populate(srcData, indices, level + 1, i, destData, destDims, dimFormat, traversalOrder, in populate()
167 std::vector<int32_t> dimFormat( in densify() local
169 std::vector<int32_t> dimensions(dimFormat.size()); in densify()
170 std::vector<std::vector<int32_t>> dimMetadata(2 * dimFormat.size()); in densify()
171 for (size_t i = 0; i < dimFormat.size(); i++) { in densify()
172 dimFormat[i] = dimFormatPtr[i]; in densify()
174 if (dimFormat[i] == 0) { in densify()
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/packages/modules/NeuralNetworks/runtime/test/specs/experimental/
Ddensify_bool8_2.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{3}", [1, 1, 1]) variable
15 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap, dimFormat,
Ddensify_bool8_1.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{4}", [0, 0, 0, 0]) variable
18 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,
Ddensify_1.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{2}", [0, 0]) variable
14 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,
Ddensify_5.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{3}", [1, 1, 1]) variable
15 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap, dimFormat,
Ddensify_4.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{3}", [1, 0, 1]) variable
15 model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap, dimFormat,
Ddensify_6.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{4}", [0, 1, 0, 0]) variable
18 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,
Ddensify_3.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{4}", [0, 1, 0, 0]) variable
18 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,
Ddensify_2.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{4}", [0, 0, 0, 0]) variable
18 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,
Ddensify_8.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{4}", [0, 0, 1, 1]) variable
18 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,
Ddensify_7.mod.py6 dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{4}", [0, 0, 0, 0]) variable
18 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,