package coverage

// This package contains support routines for coverage "fixup" in the
// compiler, which happens when compiling a package whose source code
// has been run through "cmd/cover" to add instrumentation. The two
// important entry points are FixupVars (called prior to package init
// generation) and FixupInit (called following package init
// generation).

import (
	"cmd/compile/internal/base"

	Stmts uint16 // Number of statements included in this block.
}

var cover Cover

// Cover records information about test coverage checking.
// NOTE: This struct is internal to the testing infrastructure and may change.
// It is not covered (yet) by the Go 1 compatibility guidelines.
type Cover struct {
	Mode            string
	Counters        map[string][]uint32
	Blocks          map[string][]CoverBlock

kind: bug-fix
area: istioctl

# issue is a list of GitHub issues resolved in this note.
issue:
  - https://github.com/istio/istio/issues/35574
releaseNotes:
- |

apiVersion: release-notes/v2
kind: feature
area: istioctl
issue:
  - 29153

releaseNotes:
- |

module {
func.func @main(%arg0: tensor<4x68x68x3xf32>, %arg1: tensor<5x5x3x8xf32>) -> tensor<4x64x64x8xf32> {
  %0 = "tf.Conv2D"(%arg0, %arg1) {padding = "VALID", strides = [1, 1, 1, 1]} : (tensor<4x68x68x3xf32>, tensor<5x5x3x8xf32>) -> tensor<4x64x64x8xf32>
  func.return %0 : tensor<4x64x64x8xf32>
}

// RUN: stablehlo-quant-opt %s -convert-tf-quant-types -split-input-file -verify-diagnostics | FileCheck %s

// CHECK-LABEL: func @relu_qint8
func.func @relu_qint8(%arg0: tensor<1x!tf_type.qint8>) -> tensor<1x!tf_type.qint8> {
  // CHECK: %[[X:.*]] = "tf.Relu"(%arg0) : (tensor<1xi8>) -> tensor<1xi8>
  %0 = "tf.Relu"(%arg0) : (tensor<1x!tf_type.qint8>) -> tensor<1x!tf_type.qint8>
  func.return %0: tensor<1x!tf_type.qint8>
}

// -----

John Howard <******@****.***> 1607385305 -0800

John Howard <******@****.***> 1709052916 -0800

    } else if (function_name.contains("conv2d")) {
      // For Conv2D, the channel dimension must be static to calculate the
      // feature group count.
      if (!HasStaticShapeAtDims(call_op->getOperand(0), /*dims=*/3)) {
        return absl::InternalError(
            "The channel dimension of Conv2D is required to be static.");
      }
    } else if (function_name.contains("conv3d")) {

// requirements on what it can do. This is fragile and should be fixed (at a
// minimum, names should clearly convey scope). In the mean time, for a real
// compiler, use PopulateTFLoweringBeforeHLOPatterns.
void PopulateLoweringTFPatterns(MLIRContext *context,
                                RewritePatternSet *patterns);

// Populates TensorFlow lowering patterns to lower some of the TensorFlow