This iterator is useful for implementing random access iterators based upon an index and an object pointer. Moving it to STLExtras allows for reuse elsewhere throughout the codebase, e.g. simplifying the DenseElementsAttr iterators.
PiperOrigin-RevId: 255020377
The OperationFolder currently just inserts into the entry block of a Function, but regions may be isolated above, i.e. explicit capture only, and blindly inserting constants may break the invariants of these regions.
PiperOrigin-RevId: 254987796
GPU dialect operations (launch and launch_func) use `index` type for thread and
block index values inside the kernel, for compatibility with affine loops.
NVVM dialect operations, following the NVVM intrinsics, use `!llvm.i32` type,
which does not necessarily have the same bit width as the lowered `index` type.
Optionally sign-extend (indices are signed) or truncate the result of the NVVM
dialect operation to the bit width of the lowered `index` type before passing
it to other operations. This behavior is consistent with `std.index_cast`. We
cannot use the latter since we are targeting LLVM dialect types directly,
rather than standard integer types.
PiperOrigin-RevId: 254980868
PTX backend in LLVM expects additional module-level metadata
`!nvvm.annotations` that lists functions that can be used as GPU kernels.
Generate this metadata based on the `gpu.kernel` attribute attached to
functions. This attribute is added automatically by the kernel outlining pass
in the GPU dialect lowering flow.
PiperOrigin-RevId: 254957345
Add accessor functions that return `gpu::KernelDim3` containing the respective
operands for grid and block size accepted by `gpu.launch_func`. Use the same
signature as for `gpu.launch`.
PiperOrigin-RevId: 254942674
The error would look like:
path/filename.mlir:32:23: error: use of value '%28' expects different type than prior uses: ''i32'' vs ''!_tf.control''
PiperOrigin-RevId: 254874859
LLVM is not thread-safe which means that several of the 'get' methods for LLVMType must be double locked to ensure thread-safety. This cl adds static caching, i.e. no lookups or locking, for several simple LLVM types(i1, half, void, etc.). It also cleans up the implementation of the double locking that is required for some types. In the future we could add a form of dynamic caching to only need to lock one mutex in the best case, but that requires analysis on the memory overhead/vs time lost to taking two locks.
PiperOrigin-RevId: 254806747
This CL makes use of view_slice in tiling and fusion.
Using a higher level IR element greatly simplifies the IR produced during tiling and fusion.
Lowering to LLVM is updated to first translate view_slice into a sequence of dim, range and cmpi.
This level will also be useful when lowering to affine.
PiperOrigin-RevId: 254767814
Enable reusing the real mlir-opt main from unit tests and in case where
additional initialization needs to happen before main is invoked (e.g., when
using different command line flag libraries).
PiperOrigin-RevId: 254764575
The new operations affine.load and affine.store will take composed affine maps by construction.
These operations will eventually replace load and store operations currently used in affine regions and operated on by affine transformation and analysis passes.
PiperOrigin-RevId: 254754048
Now that Locations are Attributes they contain a direct reference to the MLIRContext, i.e. the context can be directly accessed from the given location instead of being explicitly passed in.
PiperOrigin-RevId: 254568329
The ModuleOp contains a single region that must contain a single block. This block must be terminated by a new pseudo operation 'module_terminator'. The syntax for this operations is as follows:
`module` (`attributes` attr-dict)? region
Example:
module {
...
}
module attributes { ... } {
...
}
PiperOrigin-RevId: 254513752
This CL adds a conv op that corresponds to the TF description along with its lowering to loops (https://www.tensorflow.org/api_docs/python/tf/nn/convolution).
The dimension of the convolution is inferred from the rank of the views. The other logical
dimensions correspond to the TF description.
The computation of tiled views need to be updated to work for the input tensor. This is left for a future CL.
PiperOrigin-RevId: 254505644
This will allow for locations to be used in the same contexts as attributes. Given that attributes are nullable types, the 'Location' class now represents a non-nullable wrapper around a 'LocationAttr'. This preserves the desired semantics we have for non-optional locations.
PiperOrigin-RevId: 254505278
This CL adds the basic SPIR-V serializer and deserializer for converting
SPIR-V module into the binary format and back. Right now only an empty
module with addressing model and memory model is supported; (de)serialize
other components will be added gradually with subsequent CLs.
The purpose of this library is to enable importing SPIR-V binary modules
to run transformations on them and exporting SPIR-V modules to be consumed
by execution environments. The focus is transformations, which inevitably
means changes to the binary module; so it is not designed to be a general
tool for investigating the SPIR-V binary module and does not guarantee
roundtrip equivalence (at least for now).
PiperOrigin-RevId: 254473019
This CL adds support for O-D ops in Linalg ops by:
1. making the CopyOp maps optional instead of default valued
2. allowing certain map operations to accept and return empty maps
3. making linalg::LowerToLoops aware of these changes
4. providing a proper 0-D impl for CopyOp and FillOp
5. adding the relevant tests
PiperOrigin-RevId: 254381908
These are useful utility iterators helping use to get the element types of
operands/results of shaped types.
Also defined ranges for these iterators.
PiperOrigin-RevId: 254180888
River Riddle