Searched refs:numInputDims (Results 1 – 5 of 5) sorted by relevance
/frameworks/ml/nn/common/operations/ |
D | StridedSlice.cpp | 64 int32_t numInputDims = static_cast<int32_t>(getNumberOfDimensions(inputShape)); in compute() local 65 for (int32_t idx = numInputDims - 1; idx >= 0; --idx) { in compute() 71 for (int i = numInputDims; i < kMaxDim; i++) { in compute() 77 beginMask = ReverseMaskBits(beginMask, numInputDims); in compute() 78 endMask = ReverseMaskBits(endMask, numInputDims); in compute() 79 shrinkAxisMask = ReverseMaskBits(shrinkAxisMask, numInputDims); in compute() 141 uint32_t numInputDims = getNumberOfDimensions(inputShape); in prepare() local 142 NN_OPS_CHECK(numInputDims <= 4); in prepare() 152 NN_OPS_CHECK(getSizeOfDimension(beginShape, 0) == numInputDims); in prepare() 153 NN_OPS_CHECK(getSizeOfDimension(endShape, 0) == numInputDims); in prepare() [all …]
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D | Squeeze.cpp | 80 int32_t numInputDims = static_cast<int32_t>(getNumberOfDimensions(inputShape)); in prepare() local 88 std::vector<bool> shouldSqueeze(numInputDims, false); in prepare() 93 for (int32_t idx = 0; idx < numInputDims; ++idx) { in prepare() 103 squeezeDims[idx] < 0 ? squeezeDims[idx] + numInputDims : squeezeDims[idx]; in prepare() 104 NN_OPS_CHECK(current >= 0 && current < numInputDims && in prepare() 112 std::vector<uint32_t> outDims(numInputDims - numDimsSqueezed); in prepare() 113 if (numInputDims == numDimsSqueezed) { in prepare() 117 for (int32_t inIdx = 0, outIdx = 0; inIdx < numInputDims; ++inIdx) { in prepare()
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D | Transpose.cpp | 104 uint32_t numInputDims = getNumberOfDimensions(input); in prepare() local 112 NN_RET_CHECK_EQ(numInputDims, 2); in prepare() 119 NN_RET_CHECK_LE(numInputDims, 4); in prepare() 124 NN_RET_CHECK_EQ(numInputDims, getSizeOfDimension(permShape, 0)); in prepare() 126 std::vector<uint32_t> outDims(numInputDims); in prepare() 127 for (int32_t idx = 0; idx < static_cast<int32_t>(numInputDims); ++idx) { in prepare() 128 NN_RET_CHECK(permData[idx] >= 0 && permData[idx] < static_cast<int32_t>(numInputDims)); in prepare()
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D | Reshape.cpp | 94 int32_t numInputDims = static_cast<int32_t>(getNumberOfDimensions(inputShape)); in padGeneric() local 95 NN_OPS_CHECK(numInputDims <= 4); in padGeneric() 96 std::vector<int> leftPaddings(4 - numInputDims, 0); in padGeneric() 97 std::vector<int> rightPaddings(4 - numInputDims, 0); in padGeneric() 98 for (int32_t i = 0; i < numInputDims; ++i) { in padGeneric()
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/frameworks/ml/nn/common/ |
D | OperationsUtils.cpp | 505 uint32_t numInputDims = getNumberOfDimensions(input); in padPrepare() local 510 NN_OPS_CHECK(getSizeOfDimension(paddingsShape, 0) == numInputDims); in padPrepare() 513 std::vector<uint32_t> outDims(numInputDims); in padPrepare() 514 for (uint32_t i = 0; i < numInputDims; ++i) { in padPrepare() 600 int32_t numInputDims = static_cast<int32_t>(getNumberOfDimensions(input)); in meanPrepare() local 605 std::vector<uint32_t> outDims(numInputDims); in meanPrepare() 606 for (int32_t idx = 0; idx < numInputDims; ++idx) { in meanPrepare() 609 if (axisData[axisIdx] == idx || axisData[axisIdx] + numInputDims == idx) { in meanPrepare() 627 current += numInputDims; in meanPrepare() 629 NN_OPS_CHECK(current >= 0 && current < numInputDims); in meanPrepare() [all …]
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