%read0 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
      %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
      %partitioned_input = "tf.TPUPartitionedInput"(%read0, %read1) {N = 2 : i64, _XlaSharding = "", partition_dim = -1 : i64} : (tensor<i32>, tensor<i32>) -> tensor<i32>

    %read0 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
    // CHECK: %[[READ_VAR_1:[0-9]*]] = "tf.ReadVariableOp"(%arg1)
    %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
    // CHECK-NOT: tf.TPUPartitionedInputV2

		r.syntaxError()
	}
}

// readIdent reads an identifier from the input.
// If an identifier is not present, readIdent records a syntax error.
func (r *importReader) readIdent() {
	c := r.peekByte(true)
	if !isIdent(c) {
		r.syntaxError()
		return
	}
	for isIdent(r.peekByte(false)) {
		r.peek = 0
	}
}

// readString reads a quoted string literal from the input.

	return i
}

// string reads the next string.
func (r *reader) string() string {
	return r.d.stringTableAt(r.int())
}

// bool reads the next bool.
func (r *reader) bool() bool {
	return r.int() != 0
}

// tokpos reads the next token.Position.
func (r *reader) tokpos() token.Position {
	return token.Position{
		Filename: r.string(),
		Offset:   r.int(),
		Line:     r.int(),

Alan Donovan <******@****.***> 1714508407 -0400

            # But we don't need _everything_ in `privileged`, so drop+readd capabilities based on feature.
            # privileged is redundant with CAP_SYS_ADMIN
            # since it's redundant, hardcode it to `true`, then manually drop ALL + readd granular
            # capabilities we actually require
            capabilities:
              drop:
              - ALL

// RUN: tf-opt -tf-tpu-resource-read-for-write %s | FileCheck %s --dump-input=always

// CHECK-LABEL: func @write_only_resource
// CHECK-SAME: ([[ARG0:%.*]]: tensor<i32>, [[ARG1:%.*]]: tensor<f32>, [[ARG2:%.*]]: tensor<*x!tf_type.resource<tensor<i32>>>)
func.func @write_only_resource(%arg0: tensor<i32>, %arg1: tensor<f32>, %arg2: tensor<*x!tf_type.resource<tensor<i32>>>) {
  // CHECK-NEXT: [[READ:%.*]] = "tf.ReadVariableOp"([[ARG2]])

  for (Operation& op : replicate.getBody().front()) {
    if (auto read = llvm::dyn_cast<ReadVariableOp>(&op)) {
      bool is_cpu_read;
      if (failed(IsCpuRead(func, read, is_cpu_read))) return failure();
      if (is_cpu_read) reads.push_back(read);
    }
  }
  return success();
}

// Move reads above the `replicate`. Skip reads that come after a write to the
// same resource.

Regular Reads will block until data is available, but not wait for a full buffer. 
Writes will block until there is space available and writes bigger than the buffer will wait for reads to make space.

`TryRead` and `TryWrite` are still available for non-blocking reads and writes.

  done

  # Wait for the node to have Ready=True.
  echo "== Waiting for ${instance} to become ready. ==" >&2
  while true; do
    local ready
    ready=$("${KUBE_ROOT}/cluster/kubectl.sh" get node "${instance}" --output='jsonpath={.status.conditions[?(@.type == "Ready")].status}')
    if [[ "${ready}" != 'True' ]]; then
      echo "Node ${instance} is still not ready: Ready=${ready}"
    else