Tung D. Le 034f98c00c Shape inference for some ops in RNN models (#207) ... * Shape inference for ShapeOp * Shape inference for TileOp * Fix check-doc * Fix onnx-mlir-doc * Shape inference for GatherOp * Check validity of GatherOp's indices tensor * Shape inference for Slice * Tests for SliceOp * Fix importing none inputs * Type inference for constantofshape * Empty tensor in case of ConstantOfShape * Remove unrelated changes Co-authored-by: chentong319 <chentong@us.ibm.com>		2020-07-22 10:15:56 -04:00
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onnx_bundle_memory_pool.mlir	Revert "Emit allocs at the top of functions (#222)" (#226)	2020-07-21 18:30:39 -04:00
onnx_canonicalization.mlir	Add ONNXScalerOp pattern (#220)	2020-07-17 11:01:30 -04:00
onnx_constprop.mlir	constant folding for transpose of constant tensors (#171)	2020-06-17 10:42:06 -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_enable_memory_pool.mlir	Revert "Emit allocs at the top of functions (#222)" (#226)	2020-07-21 18:30:39 -04:00
onnx_krnl_global_elision.mlir	Remove optimize_loops/return_loops op. (#200)	2020-07-08 12:49:15 +08:00
onnx_lowering.mlir	Revert "Emit allocs at the top of functions (#222)" (#226)	2020-07-21 18:30:39 -04:00
onnx_lowering_with_dealloc.mlir	Revert "Emit allocs at the top of functions (#222)" (#226)	2020-07-21 18:30:39 -04:00
onnx_shape_inference.mlir	Shape inference for some ops in RNN models (#207)	2020-07-22 10:15:56 -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	Revert "Emit allocs at the top of functions (#222)" (#226)	2020-07-21 18:30:39 -04:00