#if swift(>=5.0)
                print("Compiled using Swift 5.x compiler")
            #elseif swift(>=4.0)
                print("Compiled using Swift 4.x compiler")
            #elseif swift(>=3.0)
                print("Compiled using Swift 3.x compiler")
            #else
                print("Compiled using unknown compiler")
            #endif
        """)
    }

    @Override

# Building a trivial non-main package should run compiler the first time.
go build -x -gcflags=-m lib.go
stderr 'compile( |\.exe"?)'
stderr 'lib.go:2.* can inline f'

# ... but not the second, even though it still prints the compiler output.
go build -x -gcflags=-m lib.go
! stderr 'compile( |\.exe"?)'
stderr 'lib.go:2.* can inline f'

# Building a trivial main package should run the compiler and linker the first time.

and library of compiler utilities that sits between the model representation
and low-level compilers/executors that generate hardware-specific code.

MLIR is, at its heart, a flexible infrastructure for modern optimizing
compilers. This means it consists of a specification for intermediate
representations (IR) and a code toolkit to perform transformations on that
representation. (In compiler parlance, as you move from higher-level

        NativePlatformInternal nativePlatform = (NativePlatformInternal) targetPlatform.get();
        Compiler<AssembleSpec> compiler = nativeToolChain.select(nativePlatform).newCompiler(AssembleSpec.class);
        WorkResult result = BuildOperationLoggingCompilerDecorator.wrap(compiler).execute(spec);
        setDidWork(result.getDidWork() || cleanedOutputs);
    }

    @InputFiles
    @SkipWhenEmpty

        registry.setPath([dir1, dir2])

        when:
        def result = registry.locate(ToolType.C_COMPILER, "cc")

        then:
        !result.available

        when:
        result.explain(visitor)

        then:
        1 * visitor.node("Could not find C compiler 'cc'. Searched in")
        1 * visitor.startChildren()
        1 * visitor.node(dir1.toString())

#include "tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph.h"
#include "tensorflow/compiler/mlir/tf2xla/internal/compilation_timer.h"
#include "tensorflow/compiler/mlir/tf2xla/internal/legalize_tf_mlir.h"
#include "tensorflow/compiler/mlir/tf2xla/internal/legalize_tf_to_hlo.h"
#include "tensorflow/compiler/tf2xla/layout_util.h"
#include "tensorflow/compiler/tf2xla/xla_helpers.h"

Daniel Jakots <******@****.***> 1702948102 -0500

==============================================================================*/

#ifdef TFRT_GPU_OPS
#else
#define TFRT_GPU_OPS

include "tfrt/tfrt_op_base.td"
include "tfrt/compiler/opdefs/tfrt_op_interfaces.td"
include "tfrt/compiler/opdefs/tfrt_traits.td"
include "tfrt_fallback.td"

def TFRT_GPU_Dialect : Dialect {
  let name = "gpurt";

  let description = [{
    The TFRT GPU Dialect.
  }];

#include "mlir/IR/Value.h"  // from @llvm-project
#include "mlir/Support/LogicalResult.h"  // from @llvm-project
#include "tensorflow/compiler/mlir/op_or_arg_name_mapper.h"
#include "tensorflow/compiler/tf2xla/xla_context.h"
#include "tensorflow/compiler/tf2xla/xla_expression.h"
#include "xla/client/xla_builder.h"
#include "xla/client/xla_computation.h"
#include "xla/mlir_hlo/mhlo/IR/hlo_ops.h"

Laura Kassovic <******@****.***> 1701107622 -0800