This script parses the SPIR-V JSON grammar to extract operand kinds that
are enums and generate TableGen definitions for them.
Also added a shell script to point to the correct relative file location
to simplify command invocation.
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PiperOrigin-RevId: 251041084
We want to support 64-bit shapes (even when the compiler is on a 32-bit architecture). Using int64_t consistently allows us to sidestep the bugginess of unsigned arithmetic.
Still unsigned: kind, memory space, and bit width. The first two are basically enums. We could have a discussion about the last one, but it's basically just a very large enum as well and we're not doing any math on it, I think.
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PiperOrigin-RevId: 250985791
These were just introduced by a previous CL moving MemRef getRank to return int64_t. size_t could be smaller than 64 bits and in equals comparisons, signed vs unsigned doesn't matter. In these cases, we know right now that the particular int64_t is not larger than max size_t (because it currently comes directly from a size() call), the alternative cast plus equals comparison is always safe, so we might as well do it that way and no longer require reasoning deeper into the callstack.
We are already assuming that size() calls fit into int64_t in a number of other cases like the aforementioned getRank() (since exabytes of RAM are rare). If we want to avoid this assumption we will have to come up with a principled way to do it throughout.
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PiperOrigin-RevId: 250980297
Extract common methods into ShapedType.
Simplify methods.
Remove some extraneous asserts.
Replace sentinel value with a helper method to check the same.
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PiperOrigin-RevId: 250945261
MemRefs have the same notion of shape, rank, and fixed element type. This allows us to reuse utilities based on shape for memref.
All dyn_cast and isa calls for ShapedType have been checked and either modified to explicitly check for vector or tensor, or confirmed to not depend on the result being a vector or tensor.
Discussion in https://groups.google.com/a/tensorflow.org/forum/#!topic/mlir/cHLoyfGu8y8
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PiperOrigin-RevId: 250945184
MemRefType may soon subclass ShapedType. ShapedType only guarantees that something has a shape (possibly dynamic), rank (or explicitly unranked), and fixed element type.
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PiperOrigin-RevId: 250940537
Similar to arguments and results, now we require region definition in ops to
be specified as a DAG expression with the 'region' operator. This way we can
specify the constraints for each region and optionally give the region a name.
Two kinds of region constraints are added, one allowing any region, and the
other requires a certain number of blocks.
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PiperOrigin-RevId: 250790211
This better matches the other methods in ShapedType which only make sense for ranked types. There's now an explicit hasRank for checking the rank. Actual call sites rarely used the "-1" sentinel to combine checking for rankedness and checking that rank is a certain value. And in most cases they should actually be checking for rankedness at a higher level using type predicates. Using an explicit method is clearer than a sentinel anyway.
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PiperOrigin-RevId: 250720853
This allow specifying $x to refer to an operand's named argument (operand or attribute) or result. Skip variadic operands/results for now pending autogenerated discussion of their accessors.
This adds a new predicate, following feedback on the naming but does not remove the old one. Post feedback I'll do that, potentially in follow up.
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PiperOrigin-RevId: 250720003
* the 'empty' method should be used to check for emptiness instead of 'size'
* using decl 'CapturableHandle' is unused
* redundant get() call on smart pointer
* using decl 'apply' is unused
* using decl 'ScopeGuard' is unused
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PiperOrigin-RevId: 250623863
The current logic assumes that ShapedType indicates a vector or tensor, which will not be true soon when MemRef subclasses ShapedType
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PiperOrigin-RevId: 250586364
Only vectors or tensors can be constant splats (or element attrs). This is in preparation for making MemRef subclass ShapedType
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PiperOrigin-RevId: 250586281
ShapedType just indicates shape/rank/element semantics. It's generally not useful for other type checking. This check already checks for vector or tensor type, so we can use a direct cast if we check those first.
Related to making MemRefType a subclass of ShapedType
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PiperOrigin-RevId: 250583231
*) Factors slice union computation out of LoopFusion into Analysis/Utils (where other iteration slice utilities exist).
*) Generalizes slice union computation to take the union of slices computed on all loads/stores pairs between source and destination loop nests.
*) Fixes a bug in FlatAffineConstraints::addSliceBounds where redundant constraints were added.
*) Takes care of a TODO to expose FlatAffineConstraints::mergeAndAlignIds as a public method.
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PiperOrigin-RevId: 250561529
"may never" indicates that it's allowed to never hold a value. I believe the intent here is that it is not allowed to ever hold a value.
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PiperOrigin-RevId: 250560623
This is in preparation for making MemRef a ShapedType. In general, a shaped type should be anything with shape, rank, and element type properties, so use sites shouldn't assume more than that.
I also pulled the trailing comma parsing out the parseElementsLiteralType (new name) method. It seems weird to have the method parse the type + a trailing comma, even if all call sites currently need that. It's surprising behavior without looking at the implementation.
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PiperOrigin-RevId: 250558363
This op defines a SPIR-V module using a MLIR region. The region contains
one block. Module-level operations, including functions definitions,
are all placed in this block.
This CL extracts common definitions from SPIRVOps.td into SPIRVBase.td.
The new op is placed in SPIRVStructureOps.td.
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PiperOrigin-RevId: 250522320
This CL adds lowering of linalg.for to LLVM IR and adds an IR test.
This also replaces the usage of affine.for with linalg.for and enables the LLVM IR path in the integration test.
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PiperOrigin-RevId: 250503798
Jacques Pienaar