Aman LaChapelle ca185002f2 Add shape inference for several ops (#163) ... * 1. Add shape inference for the following ops: - Atan - Tan - Sin - Cast - ConvTranspose - Flatten - DynamicQuantizeLinear - QuantizeLinear - DequantizeLinear - ConvInteger 2. Import attributes for generic nodes 3. Fixes for cases where .cast<> should be .isa<> (ONNXConcat::inferShapes) * Fix foormatting issues * Address comments: - SmallVector<> * -> SmallVectorImpl<> & - switch-case -> helper function - Inside helper function, preserve signed-ness - add TODOs * Can't use signed integers yet in convertONNXTypeToMLIRType, add TODO Co-authored-by: Tian Jin <tjingrant@gmail.com>		2020-06-09 14:55:49 +08:00
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onnx_canonicalization.mlir	Implement PadOp based on attribute promotion (#71)	2020-05-15 13:19:28 +08:00
onnx_constprop.mlir	Constprop (#162)	2020-06-08 15:45:32 -04:00
onnx_decompose.mlir	Add the split marker to test files (#90)	2020-04-16 15:17:27 +08:00
onnx_elide_constants.mlir	Rework output to improve readability of intermediate MLIR code. (#87)	2020-04-24 16:15:36 -04:00
onnx_krnl_global_elision.mlir	Rework output to improve readability of intermediate MLIR code. (#87)	2020-04-24 16:15:36 -04:00
onnx_lowering.mlir	Add AffineScope trait to KrnlIterateOp and enable affine-loop-fusion pass (#140)	2020-06-08 15:36:27 +08:00
onnx_lowering_with_dealloc.mlir	Add AffineScope trait to KrnlIterateOp and enable affine-loop-fusion pass (#140)	2020-06-08 15:36:27 +08:00
onnx_shape_inference.mlir	Add shape inference for several ops (#163)	2020-06-09 14:55:49 +08:00
onnx_shape_inference_maxpool.mlir	Add the split marker to test files (#90)	2020-04-16 15:17:27 +08:00