Aman LaChapelle 24d0a2ac71 Add shape inference and names (#266) ... * Add shape inference and names - Add shape inference for PRelu - Fix shape inference for group conv for ConvTranspose - Add input and output names for graphs (functions) - Add support for (u)int8 tensor attributes * Fix format issues * Revert formatting for gen_onnx_mlir.py * Pads can have ArrayAttr and DenseElementsAttr so support both * NumInputs is the number of graph inputs that don't have initializers * Add test for 2D batchnorm * Fix typo in define_loops in new 2d BN test * Change 'name' to 'onnx_node_name' * Fix Batchnorm for 2D I/O and add lowering test Co-authored-by: Gheorghe-Teodor Bercea <gt.bercea@gmail.com>		2020-08-27 15:46:27 -04:00
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onnx_bundle_memory_pool.mlir	Assorted fixes for memory pool related passes (#244)	2020-08-11 17:34:59 -04:00
onnx_canonicalization.mlir	Fuse convolution and batch normalization (#253)	2020-08-18 16:41:40 +08:00
onnx_constprop.mlir	Fuse convolution and batch normalization (#253)	2020-08-18 16:41:40 +08:00
onnx_decompose.mlir	ScalerOp support non-float input using CastOp (#231)	2020-07-24 10:57:52 -04:00
onnx_elide_constants.mlir	Rework output to improve readability of intermediate MLIR code. (#87)	2020-04-24 16:15:36 -04:00
onnx_enable_memory_pool.mlir	[NFC] Rename passes for stylistic consistency. (#232)	2020-07-31 21:37:35 +08:00
onnx_krnl_global_elision.mlir	Remove optimize_loops/return_loops op. (#200)	2020-07-08 12:49:15 +08:00
onnx_lowering.mlir	Add shape inference and names (#266)	2020-08-27 15:46:27 -04:00
onnx_lowering_with_dealloc.mlir	[NFC] Rename passes for stylistic consistency. (#232)	2020-07-31 21:37:35 +08:00
onnx_shape_inference.mlir	Add shape inference and names (#266)	2020-08-27 15:46:27 -04:00
onnx_shape_inference_maxpool.mlir	Add the split marker to test files (#90)	2020-04-16 15:17:27 +08:00
onnx_structure.mlir	Seq type (#199)	2020-07-31 20:05:59 +08:00