llvm-project/mlir/test/CMakeLists.txt

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CMake
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add_subdirectory(EDSC)
add_subdirectory(mlir-cpu-runner)
add_subdirectory(SDBM)
add_subdirectory(lib)
llvm_canonicalize_cmake_booleans(
LLVM_BUILD_EXAMPLES
)
# Passed to lit.site.cfg.py.in to set up the path where to find the libraries
# for linalg integration tests.
set(MLIR_DIALECT_LINALG_INTEGRATION_TEST_LIB_DIR ${CMAKE_LIBRARY_OUTPUT_DIRECTORY})
set(MLIR_RUNNER_UTILS_DIR ${CMAKE_LIBRARY_OUTPUT_DIRECTORY})
# Passed to lit.site.cfg.py.in to set up the path where to find the libraries
# for the mlir cuda runner tests.
set(MLIR_CUDA_WRAPPER_LIBRARY_DIR ${CMAKE_LIBRARY_OUTPUT_DIRECTORY})
set(MLIR_VULKAN_WRAPPER_LIBRARY_DIR ${CMAKE_LIBRARY_OUTPUT_DIRECTORY})
configure_lit_site_cfg(
${CMAKE_CURRENT_SOURCE_DIR}/lit.site.cfg.py.in
${CMAKE_CURRENT_BINARY_DIR}/lit.site.cfg.py
MAIN_CONFIG
${CMAKE_CURRENT_SOURCE_DIR}/lit.cfg.py
)
configure_lit_site_cfg(
${CMAKE_CURRENT_SOURCE_DIR}/Unit/lit.site.cfg.py.in
${CMAKE_CURRENT_BINARY_DIR}/Unit/lit.site.cfg.py
MAIN_CONFIG
${CMAKE_CURRENT_SOURCE_DIR}/Unit/lit.cfg.py
)
set(MLIR_TEST_DEPENDS
FileCheck count not
MLIRUnitTests
mlir-cpu-runner
mlir-edsc-builder-api-test
[mlir][Linalg] Create a tool to generate named Linalg ops from a Tensor Comprehensions-like specification. Summary: This revision adds a tool that generates the ODS and C++ implementation for "named" Linalg ops according to the [RFC discussion](https://llvm.discourse.group/t/rfc-declarative-named-ops-in-the-linalg-dialect/745). While the mechanisms and language aspects are by no means set in stone, this revision allows connecting the pieces end-to-end from a mathematical-like specification. Some implementation details and short-term decisions taken for the purpose of bootstrapping and that are not set in stone include: 1. using a "[Tensor Comprehension](https://arxiv.org/abs/1802.04730)-inspired" syntax 2. implicit and eager discovery of dims and symbols when parsing 3. using EDSC ops to specify the computation (e.g. std_addf, std_mul_f, ...) A followup revision will connect this tool to tablegen mechanisms and allow the emission of named Linalg ops that automatically lower to various loop forms and run end to end. For the following "Tensor Comprehension-inspired" string: ``` def batch_matmul(A: f32(Batch, M, K), B: f32(K, N)) -> (C: f32(Batch, M, N)) { C(b, m, n) = std_addf<k>(std_mulf(A(b, m, k), B(k, n))); } ``` With -gen-ods-decl=1, this emits (modulo formatting): ``` def batch_matmulOp : LinalgNamedStructured_Op<"batch_matmul", [ NInputs<2>, NOutputs<1>, NamedStructuredOpTraits]> { let arguments = (ins Variadic<LinalgOperand>:$views); let results = (outs Variadic<AnyRankedTensor>:$output_tensors); let extraClassDeclaration = [{ llvm::Optional<SmallVector<StringRef, 8>> referenceIterators(); llvm::Optional<SmallVector<AffineMap, 8>> referenceIndexingMaps(); void regionBuilder(ArrayRef<BlockArgument> args); }]; let hasFolder = 1; } ``` With -gen-ods-impl, this emits (modulo formatting): ``` llvm::Optional<SmallVector<StringRef, 8>> batch_matmul::referenceIterators() { return SmallVector<StringRef, 8>{ getParallelIteratorTypeName(), getParallelIteratorTypeName(), getParallelIteratorTypeName(), getReductionIteratorTypeName() }; } llvm::Optional<SmallVector<AffineMap, 8>> batch_matmul::referenceIndexingMaps() { MLIRContext *context = getContext(); AffineExpr d0, d1, d2, d3; bindDims(context, d0, d1, d2, d3); return SmallVector<AffineMap, 8>{ AffineMap::get(4, 0, {d0, d1, d3}), AffineMap::get(4, 0, {d3, d2}), AffineMap::get(4, 0, {d0, d1, d2}) }; } void batch_matmul::regionBuilder(ArrayRef<BlockArgument> args) { using namespace edsc; using namespace intrinsics; ValueHandle _0(args[0]), _1(args[1]), _2(args[2]); ValueHandle _4 = std_mulf(_0, _1); ValueHandle _5 = std_addf(_2, _4); (linalg_yield(ValueRange{ _5 })); } ``` Differential Revision: https://reviews.llvm.org/D77067
2020-04-11 01:54:08 +08:00
mlir-linalg-ods-gen
mlir-opt
mlir-sdbm-api-test
mlir-tblgen
mlir-translate
mlir_test_cblas
mlir_test_cblas_interface
mlir_runner_utils
mlir_c_runner_utils
)
if(LLVM_BUILD_EXAMPLES)
list(APPEND MLIR_TEST_DEPENDS
toyc-ch1
toyc-ch2
toyc-ch3
toyc-ch4
toyc-ch5
toyc-ch6
toyc-ch7
)
endif()
if(MLIR_CUDA_RUNNER_ENABLED)
list(APPEND MLIR_TEST_DEPENDS
mlir-cuda-runner
)
endif()
if(MLIR_VULKAN_RUNNER_ENABLED)
list(APPEND MLIR_TEST_DEPENDS
mlir-vulkan-runner
)
endif()
add_lit_testsuite(check-mlir "Running the MLIR regression tests"
${CMAKE_CURRENT_BINARY_DIR}
DEPENDS ${MLIR_TEST_DEPENDS}
)
set_target_properties(check-mlir PROPERTIES FOLDER "Tests")
add_lit_testsuites(MLIR ${CMAKE_CURRENT_SOURCE_DIR}
DEPENDS ${MLIR_TEST_DEPS}
)