// CHECK-DAG: %[[SHAPEOF:.+]] = shape.shape_of %arg0
  // CHECK-DAG: %[[CST0:.+]] = arith.constant 0
  // CHECK-DAG: %[[CST1:.+]] = arith.constant 1
  // CHECK-DAG: %[[GETEXTENT0:.+]] = tensor.extract %[[SHAPEOF]][%[[CST0]]]
  // CHECK-DAG: %[[CST1_0:.+]] = arith.constant 1
  // CHECK-DAG: %[[GETEXTENT1:.+]] = tensor.extract %[[SHAPEOF]][%[[CST1_0]]]

  // CHECK-DAG: %[[CST_FALSE0:.*]] = arith.constant dense<false> : tensor<1xi1>
  // CHECK-DAG: %[[CST_FALSE1:.*]] = arith.constant dense<false> : tensor<2x3xi1>
  // CHECK-DAG: %[[CST_FALSE2:.*]] = arith.constant dense<false> : tensor<3xi1>
  // CHECK-DAG: %[[CST_FALSE3:.*]] = arith.constant dense<false> : tensor<2x1xi1>
  // CHECK-DAG: %[[CST_TRUE1:.*]] = arith.constant dense<true> : tensor<2x3xi1>

// CHECK-DAG:       %[[VAL_1:.*]] = "tf.Const"() <{value = dense<0xFF800000> : tensor<f32>}> : () -> tensor<f32>
// CHECK-DAG:       %[[VAL_2:.*]] = "tf.Const"() <{value = dense<0> : tensor<i32>}> : () -> tensor<i32>
// CHECK-DAG:       %[[VAL_3:.*]] = "tf.Const"() <{value = dense<0> : tensor<i32>}> : () -> tensor<i32>

    }
    output_shape.push_back(num_diags);
    output_shape.push_back(max_diag_len);

    // A slice is the shape of what GatherOp copies per lookup. So the last
    // two dimensions (M, N in the matrix-diag-part docs) are where we go
    // through entry by entry.
    ArrayRef<int64_t> input_shape = input_type.getShape();
    int input_shape_size = input_shape.size();

	if call, ok := p.dialing[addr]; ok {
		// A dial is already in-flight. Don't start another.
		return call
	}
	call := &http2dialCall{p: p, done: make(chan struct{}), ctx: ctx}
	if p.dialing == nil {
		p.dialing = make(map[string]*http2dialCall)
	}
	p.dialing[addr] = call
	go call.dial(call.ctx, addr)
	return call
}

// run in its own goroutine.
func (c *http2dialCall) dial(ctx context.Context, addr string) {

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