%1 = "quantfork.stats"(%arg0) {layerStats = dense<[1.27501142, 149.824783]> : tensor<2xf32>} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xf32>

	linkFlagsMask  LinkRole = (1<<32 - 1) << 16
)

func NewNodeLink(role LinkRole) *NodeLink {
	var nextConnId uint32
	switch role &^ linkFlagsMask {
	case LinkServer:
		nextConnId = 0 // all initiated by us connId will be even
	case LinkClient:
		nextConnId = 1 // ----//---- odd
	default:
		panic("invalid conn role")
	}

	_ = nextConnId
	return nil

// If input and output tensors don't have names, there shouldn't be an
// `tf.entry_function` attribute created.
// CHECK-NOT: tf.entry_function

{
  "version": 3,
  "operator_codes": [
    {
      "builtin_code": "CONV_2D"
    }
  ],
  "subgraphs": [
    {
      "tensors": [
        {
          "shape": [
            256,
            32,
            32,
            3
          ],
          "quantization": {

// CHECK-NEXT:    version: 1,
// CHECK-NEXT:    builtin_code: QUANTIZE
// CHECK-NEXT:  }, {
// CHECK-NEXT:    deprecated_builtin_code: 3,
// CHECK-NEXT:    version: 1,
// CHECK-NEXT:    builtin_code: CONV_2D
// CHECK-NEXT:  }, {
// CHECK-NEXT:    deprecated_builtin_code: 22,
// CHECK-NEXT:    version: 1,
// CHECK-NEXT:    builtin_code: RESHAPE
// CHECK-NEXT:  }, {
// CHECK-NEXT:    deprecated_builtin_code: 25,

func.func @main(%arg0: tensor<?x19x19x3xf32>) -> tensor<?x9x9x4xf32> {
  %cst = arith.constant dense<1.0> : tensor<4xf32>
  %cst_3 = arith.constant dense<2.0> : tensor<4x3x3x3xf32>

        ":test_utilities",
    ],
    driver = "@llvm-project//mlir:run_lit.sh",
    size_override = {
        "quant_stats.pbtxt": "medium",
    },
    tags_override = {
        "add.pbtxt": ["no_rocm"],
        "conv_2d.pbtxt": ["no_rocm"],
        "fake_quant_per_channel.pbtxt": ["no_rocm"],
    },
    test_file_exts = [
        "pbtxt",
    ],
)

# Bundle together all of the test utilities that are used by tests.
filegroup(

  key: "MobilenetV1/MobilenetV1/Conv2d_0/BatchNorm/FusedBatchNorm@"
  value {
    file_line_cols {
      file_index: 5
      line: 362
    }
  }
}
traces {
  key: "MobilenetV1/MobilenetV1/Conv2d_0/Conv2D@"
  value {
    file_line_cols {
      file_index: 2
      line: 27
    }
    file_line_cols {
      file_index: 3
      line: 28
    }
    file_line_cols {
      file_index: 4

handle git

env GIT_AUTHOR_NAME='Jay Conrod'
env GIT_AUTHOR_EMAIL='******@****.***'
env GIT_COMMITTER_NAME=$GIT_AUTHOR_NAME
env GIT_COMMITTER_EMAIL=$GIT_AUTHOR_EMAIL

at 2019-05-09T18:56:25-04:00

git init

git add go.mod tagtests.go
git commit -m 'create module tagtests'
git branch -m master
git branch b

git add v0.2.1
git commit -m 'v0.2.1'
git tag 'v0.2.1'

git checkout b
git add 'v0.2.2'

  %conv = "tf.Conv2D"(%dq_input, %dq_weight) {attr_map = "0:strides,1:use_cudnn_on_gpu,2:padding,3:explicit_paddings,4:dilations", data_format = "NHWC", device = "", dilations = [1, 1, 1, 1], explicit_paddings = [], padding = "VALID", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32>

// TF-DAG: "tf.DumpTensor"(%[[conv0_float]]) <{enabled = true, file_name = "unquantized_tensor_data.pb", func_name = "conv_with_dump", log_dir_path = "/tmp/dumps/composite_conv2d_with_bias_and_relu6_fn_2", node_name = "Conv2D"}> {device = ""}