if err != nil {
		t.Fatalf("db open conn fail: %v", err)
	}

	conn1, err := db.conn(ctx, cachedOrNewConn)
	if err != nil {
		t.Fatalf("db open conn fail: %v", err)
	}

	conn2, err := db.conn(ctx, cachedOrNewConn)
	if err != nil {
		t.Fatalf("db open conn fail: %v", err)
	}

	if g, w := db.numOpen, 3; g != w {
		t.Errorf("free conns = %d; want %d", g, w)
	}

				conv = conv1
			}
		}
		if Arch.LinkArch.Family == sys.ARM64 || Arch.LinkArch.Family == sys.Wasm || Arch.LinkArch.Family == sys.S390X || s.softFloat {
			if conv1, ok1 := uint64fpConvOpToSSA[twoTypes{s.concreteEtype(ft), s.concreteEtype(tt)}]; ok1 {
				conv = conv1
			}
		}

		if Arch.LinkArch.Family == sys.MIPS && !s.softFloat {
			if ft.Size() == 4 && ft.IsInteger() && !ft.IsSigned() {

	conn1 := <-conns

	// Start another request and grab its connection
	response2c := make(chan string, 1)
	go fetch(2, response2c)
	conn2 := <-conns

	// Send a response on connection 2.
	conn2.(*blockingRemoteAddrConn).addrs <- &net.TCPAddr{
		IP: net.ParseIP("12.12.12.12"), Port: 12}

	// ... and see it
	response2 := <-response2c

    return emitOptionalError(location, "invalid padding format provided");
  }

  // Output always have rank 4. All dimensions are initialized to
  // dynamic size and can be partially inferred.
  // TFL's conv2d is always NHWC format & the filter is OHWI.
  SmallVector<int64_t, 4> return_shape(4, ShapedType::kDynamic);
  return_shape[0] = input_ty.getDimSize(0);
  return_shape[3] = filter_ty.getDimSize(0);

`channels_last_format`, see below for details.}]>:$output
  );

  TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
}

def TF_Conv2DOp : TF_Op<"Conv2D", [InferTensorType, Pure, TF_LayoutSensitiveInterface]> {
  let summary = [{
Computes a 2-D convolution given 4-D `input` and `filter` tensors.
  }];

  let description = [{

897,"touches":3,"min_t":1228948796,"max_t":1236205616,"mean_t":1231544399},{"name":"animate-elem-46-t-expected.png","kids":[],"cl_weight":0.0005553709994722575,"touches":2,"min_t":1229478785,"max_t":1236205616,"mean_t":1232842200},{"name":"filters-conv-01-f-expected.png","kids":[],"cl_weight":0.0015634355156012897,"touches":3,"min_t":1228948796,"max_t":1236205616,"mean_t":1231544399},{"name":"pservers-grad-03-b-expected.png","kids":[],"cl_weight":0.0015634355156012897,"touches":3,"min_t":1228948...