* Lower ONNXSumOp * Add inferShapes() and test cases * Load the first operand to the result * Update SharingWork.md * Update SharingWork.md * Update SharingWork.md * Add support for Max, Min * Pass operation instead of location to mapToLowerScalarOp * Add support for Elu, Selu, LeakyRelu, HardSigmoid * Add test cases * Update SharingWork.md * Rewrite the part of lowering variadic ops and use it for binary ops * Use two diffenrent templates for Unary and Variadic Ops * Revise the code |
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krnl | ||
onnx | ||
CMakeLists.txt | ||
lit.cfg.py | ||
lit.site.cfg.py.in |