onnx-mlir

Author	SHA1	Message	Date
TUNG LEDUC	c3ef1d93ae	[MLIR] Lower ONNX element-wise binary ops: Mul, Div, Sub, And, Or, Xor (#388 ) * Lower ONNX element-wise binary ops: Mul, Div, Sub, And, Or, Xor * Edit gen_doc.py to avoid changes about AnyTypeOf<[AnyMemRef, AnyTensor]> * Miss a space * Add tests * Shorten ONNXElementWiseBinaryOpLowering into ONNXEWBinaryOpLowering * Move lowering patterns into runOnModule() * Redundant space	2019-12-21 01:35:31 -05:00
GHEORGHE-TEOD BERCEA	b02652dd76	[MLIR] Lowering of frontend dialect to KRNL dialect (#382 ) * Partial support for lowering operations to KRNL dialect. * Attempt to lower to KRNL IR. * Update file. * Add lowering. * Address comments. Fix alloc dynamic dimensions. Correctly link StandardOps. * Temporarily remove deallocation of locally allocated tensors.	2019-12-21 01:11:14 -05:00
TUNG LEDUC	53ab014a1d	[MLIR] Canonicalization pattern for eliminating identity ops (#377 ) * Canonicalization pattern for eliminating identity ops * Add a test for the identity elimination rule * Remove frontend from test * Use CHECK-NEXT instead of CHECK	2019-12-21 00:47:22 -05:00
TONG CHEN	3f68c5420d	[MLIR] generate op from onnx document (#366 ) * generate op from onnx document * Restore FullGemm * update the op attribute for shape inference and canonicalizer * Update onnx_canonicalization.mlir	2019-12-21 00:40:40 -05:00