}

	return NewBasicLit(pos, typ, val)
}

var (
	intOne     = constant.MakeInt64(1)
	floatOne   = constant.ToFloat(intOne)
	complexOne = constant.ToComplex(intOne)
)

const (
	// Maximum size in bits for big.Ints before signaling
	// overflow and also mantissa precision for big.Floats.
	ConstPrec = 512
)

func BigFloat(v constant.Value) *big.Float {
	f := new(big.Float)

			case Int:
				var s = uint(sizeof(typ)) * 8
				return int64(-1)<<(s-1) <= x && x <= int64(1)<<(s-1)-1
			case Int8:
				const s = 8
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int16:
				const s = 16
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int32:
				const s = 32
				return -1<<(s-1) <= x && x <= 1<<(s-1)-1
			case Int64, UntypedInt:
				return true
			case Uint, Uintptr:

// Package math provides basic constants and mathematical functions.
//
// This package does not guarantee bit-identical results across architectures.
package math

// Mathematical constants.
const (
	E   = 2.71828182845904523536028747135266249775724709369995957496696763 // https://oeis.org/A001113
	Pi  = 3.14159265358979323846264338327950288419716939937510582097494459 // https://oeis.org/A000796

Brad Fitzpatrick <******@****.***> 1493866163 +0000

apiVersion: release-notes/v2
kind: feature
area: networking
releaseNotes:
- |

		if matchDecl(td.Decl, f) {
			n = 1
		} else {
			// type name doesn't match, but we may have matching consts, vars, factories or methods
			td.Consts = filterValues(td.Consts, f)
			td.Vars = filterValues(td.Vars, f)
			td.Funcs = filterFuncs(td.Funcs, f)
			td.Methods = filterFuncs(td.Methods, f)
			n += len(td.Consts) + len(td.Vars) + len(td.Funcs) + len(td.Methods)
		}
		if n > 0 {
			a[w] = td
			w++
		}
	}

# RUN: tf-mlir-translate -graphdef-to-mlir -tf-enable-shape-inference-on-import=false %s -o - | FileCheck %s

node {
  name: "bf16_scalar"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_BFLOAT16
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_BFLOAT16
        tensor_shape {
        }
        half_val: 0
        # CHECK: value = dense<0.000000e+00> : tensor<bf16>

          }
        }
        int_val: 0
      }
    }
  }
  experimental_debug_info {
  }
}
node {
  name: "tf.Const1"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_INT32
        tensor_shape {
        }
        int_val: 0
      }
    }
  }
  experimental_debug_info {

node {
  name: "Quantized_Constant"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_QUINT8
    }
  }
  attr {
    key: "value"
    value {
      tensor {
        dtype: DT_QUINT8
        tensor_shape {
        }
        int_val: 7
      }
    }
  }
}
library {
}
versions {
  producer: 70
}

# CHECK: tf.Const

    // CHECK: tf_executor.island(%[[CONTROL]]) wraps "tf.Const"()
    // CHECK: tf_executor.LoopCond
    // CHECK: tf_executor.Switch
    // CHECK: tf_executor.NextIteration.Sink[%[[TOKEN]]]
    // CHECK: tf_executor.Exit
    %Const, %ctl = Const name("Const") {dtype = i32, value = dense<0> : tensor<i32>} : () -> (tensor<i32>)