// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

#include <stdint.h>
#include <stdlib.h>
#include <stdio.h>

#undef nil
#define nil ((void*)0)
#define nelem(x) (sizeof(x)/sizeof((x)[0]))

typedef uint32_t uint32;
typedef uint64_t uint64;
typedef uintptr_t uintptr;

/*
 * The beginning of the per-goroutine structure,

        file.text = originalContent.replaceFirst(~/#endif/, '#define HELLO_WORLD "Hello world!"\n#endif')
    }

    void changeArgs(File file, String originalContent) {
        file.text = originalContent.
            replaceFirst(~/cCompiler.define "SOMETHING7=0"/, 'cCompiler.define "SOMETHING_NEW=0"').
            replaceFirst(~/cppCompiler.define "SOMETHING7=0"/, 'cppCompiler.define "SOMETHING_NEW=0"')
    }

  %0 = stablehlo.constant dense<[2.0, 3.0]> : tensor<2xf32>
  %1 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf32>
  %2 = stablehlo.divide %0, %1 : tensor<2xf32>
  return %2 : tensor<2xf32>
}

// CHECK-LABEL: foldDiv
// CHECK: stablehlo.constant dense<5.000000e-01> : tensor<2xf32>

// -----

func.func @foldDivLHSSplat() -> tensor<2xf32> {
  %0 = stablehlo.constant dense<2.0> : tensor<2xf32>

  // CHECK-DAG: %[[RES:.*]] = mhlo.constant dense<{{\[\[\[\[}}1, 4, 9, 16], [5, 12, 21, 32]]]]> : tensor<1x1x2x4xi32>
  %cst0 = mhlo.constant dense<[1, 2, 3, 4]> : tensor<4xi32>
  %cst1 = mhlo.constant dense<[[[[1, 2, 3, 4], [5, 6, 7, 8]]]]> : tensor<1x1x2x4xi32>
  %0 = "mhlo.broadcast_in_dim"(%cst0) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<4xi32>) -> tensor<1x1x2x4xi32>

include('sub-project-b')
include('sub-project-c')
----
<1> Define the location of plugins.
<2> Apply settings plugins.
<3> Define the root project name.
<4> Define dependency resolution strategies.
<5> Add subprojects to the build.
=====
====

=== 1. Define the location of plugins

  %perm = arith.constant dense<[3, 0, 1, 2]> : tensor<4xi32>
  %0 = "tfl.transpose"(%arg0, %perm) : (tensor<2x3x4x5xf32>, tensor<4xi32>) -> tensor<5x2x3x4xf32>
  %cst = arith.constant dense<1.0> : tensor<5x2x3x4xf32>
  %1 = tfl.add %0, %cst { fused_activation_function = "NONE" } : tensor<5x2x3x4xf32>
  func.return %1 : tensor<5x2x3x4xf32>
}

// CHECK: %cst = arith.constant dense<[3, 0, 1, 2]> : tensor<4xi32>

See the License for the specific language governing permissions and
limitations under the License.
*/

#include <windows.h>
#include <stdio.h>
#include <string.h>

#define STRINGIFY(x) #x
#define VERSION_STRING(x) STRINGIFY(x)

#ifndef VERSION
#define VERSION HEAD
#endif

BOOL WINAPI CtrlHandler(DWORD fdwCtrlType)
{
	switch (fdwCtrlType)
	{
	case CTRL_C_EVENT:
		fprintf(stderr, "Shutting down, got signal\n");

  kStaticRangePtqToComputeHeavy,  // static-range-ptq-to-compute-heavy
};

// Adds generated pass default constructors or options definitions.
#define GEN_PASS_DECL
// Adds generated pass registration functions.
#define GEN_PASS_REGISTRATION
#include "tensorflow/compiler/mlir/quantization/stablehlo/passes/testing/passes.h.inc"

}  // namespace mlir::quant::stablehlo::testing

  // CHECK-DAG: %[[cst0:.*]] = stablehlo.constant dense<0xFF800000> : tensor<f32
  // CHECK-DAG: %[[cst1:.*]] = stablehlo.constant dense<0x7FC00000> : tensor<f32>
  // CHECK-DAG: %[[cst2:.*]] = stablehlo.constant dense<6.000000e+00> : tensor<f32>
  // CHECK-DAG: %[[cst3:.*]] = stablehlo.constant dense<0.000000e+00> : tensor<f32>
  // CHECK-NOT: %[[q0:.*]] = "quantfork.qcast"(%[[cst0]])

// Create a pass that just collects metrics about the input MLIR. Does not
// logically transform the program.
std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>>
CreateInputLoweringMetricsPass();

#define GEN_PASS_REGISTRATION
#define GEN_PASS_DECL_INPUTLOWERINGMETRICSPASS
#include "tensorflow/compiler/mlir/tf2xla/internal/passes/lowering_passes.h.inc"

}  // namespace internal
}  // namespace tf2xla
}  // namespace tensorflow