// CHECK-LABEL: conv
// CHECK-DAG:  %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<16xf32>
// CHECK-DAG:  %[[CONSTANT0:.*]] = arith.constant dense<[3, 0, 1, 2]> : tensor<4xi32>
// CHECK-DAG:  %[[CONSTANT1:.*]] = arith.constant dense<[{{\[}}0, 0], [1, 1], [1, 1], [0, 0]]> : tensor<4x2xi32>
// CHECK:  %0 = "tf.Transpose"(%arg1, %[[CONSTANT0]]) : (tensor<3x3x3x16xf32>, tensor<4xi32>) -> tensor<16x3x3x3xf32>

                        ctx->GetAttr("Tconstants", &constant_types));
  std::vector<int> constants(constant_types.size());
  std::iota(constants.begin(), constants.end(), 0);
  return constants;
}

std::vector<int> ResourcesVector(OpKernelConstruction* ctx) {
  DataTypeVector constant_types;
  OP_REQUIRES_OK_RETURN(ctx, std::vector<int>(),
                        ctx->GetAttr("Tconstants", &constant_types));

#include "tensorflow/core/framework/op.h"
#include "tensorflow/core/framework/shape_inference.h"

namespace tensorflow {

using shape_inference::InferenceContext;

REGISTER_OP("XlaLaunch")
    .Input("constants: Tconstants")
    .Attr("Tconstants: list(type) >= 0")
    .Input("args: Targs")
    .Attr("Targs: list(type) >= 0")
    .Input("resources: Nresources * resource")
    .Attr("Nresources: int >= 0")
    .Output("results: Tresults")

  return %0 : tensor<16x4xf32>
}
// Check that the constant is cloned with same value.
// The duplicated constant is the last index of the ConcatV2 op (which
// accepts a variadic arg).
// CHECK-DAG: %[[CST_0:.*]] = "tf.Const"()
// CHECK-SAME: value = dense<1> : tensor<i32>
// CHECK-DAG: %[[CST_1:.*]] = "tf.Const"()
// CHECK-SAME: value = dense<1> : tensor<i32>

// Check that the constants used for tf.ConcatV2 and tf.AddV2 are different.

// only be used as the shape-determining operand; it will not replace other
// usages of the original constant. If the operands are not constants (i.e.
// results of some other computation), then the pass recursively traverses the
// call tree upwards and duplicates all constants found in the subtree in a
// similar manner.
//
// This pass may be used to avoid placing shape-determining constants in the CPU

      Class<T> enumClass) {
    synchronized (enumConstantCache) {
      Map<String, WeakReference<? extends Enum<?>>> constants = enumConstantCache.get(enumClass);
      if (constants == null) {
        constants = populateCache(enumClass);
      }
      return constants;
    }
  }

  /**
   * Returns a serializable converter that converts between strings and {@code enum} values of type

PACKAGE blank

IMPORTPATH
	testdata/blank

IMPORTS
	os

FILENAMES
	testdata/blank.go

CONSTANTS
	// T constants counting from unexported constants. 
	const (
		tweedledee	T	= iota
		tweedledum
		C1
		C2
		alice
		C3
		redQueen	int	= iota
		C4
	)

	// Constants with a single type that is not propagated. 
	const (
		zero		os.FileMode	= 0
		Default				= 0644
		Useless				= 0312

// CHECK:  return %1
}

// CHECK-LABEL: fakeQuantFolded
func.func @fakeQuantFolded() -> (tensor<8xf32>) {
  %in = arith.constant dense<0.0> : tensor<8xf32>
  %min = arith.constant dense<0.0> : tensor<f32>
  %max = arith.constant dense<15.0> : tensor<f32>
  %mini = "tf.Identity"(%min) : (tensor<f32>) -> tensor<f32>
  %maxi = "tf.Identity"(%max) : (tensor<f32>) -> tensor<f32>

      Class<T> enumClass) {
    synchronized (enumConstantCache) {
      Map<String, WeakReference<? extends Enum<?>>> constants = enumConstantCache.get(enumClass);
      if (constants == null) {
        constants = populateCache(enumClass);
      }
      return constants;
    }
  }

  /**
   * Returns a serializable converter that converts between strings and {@code enum} values of type

// and then propagates constant facts only along reachable control flow paths.
// Since some basic blocks are not visited yet, corresponding inputs of phi become
// Top, we use the meet(phi) to compute its lattice.
//
// 	  Top ∩ any = any
// 	  Bottom ∩ any = Bottom
// 	  ConstantA ∩ ConstantA = ConstantA
// 	  ConstantA ∩ ConstantB = Bottom
//
// Each lattice value is lowered most twice(Top to Constant, Constant to Bottom)