"""Initializes a SimpleGatherAndConvModel."""
        self.embedding_w = np.random.randn(1024, 3, 4, 3).astype('f4')
        self.embedding_w = np.minimum(np.maximum(self.embedding_w, -4), 4)

        self.conv_filters = np.random.uniform(
            low=-10, high=10, size=filter_shape
        ).astype('f4')

        second_conv_filter_shape = (3, 3, filter_shape[-1], 1)
        self.second_conv_filters = np.random.uniform(

00000060  00 00 16 03 01 02 0e 0b  00 02 0a 00 02 07 00 02  |................|
00000070  04 30 82 02 00 30 82 01  62 02 09 00 b8 bf 2d 47  |.0...0..b.....-G|
00000080  a0 d2 eb f4 30 09 06 07  2a 86 48 ce 3d 04 01 30  |....0...*.H.=..0|
00000090  45 31 0b 30 09 06 03 55  04 06 13 02 41 55 31 13  |E1.0...U....AU1.|
000000a0  30 11 06 03 55 04 08 13  0a 53 6f 6d 65 2d 53 74  |0...U....Some-St|

00000140  f3 58 9f 6c 61 3c c0 b0  41 d4 d9 2b 2b 24 23 77  |.X.la<..A..++$#w|
00000150  5b 1c 3b bd 75 5d ce 20  54 cf a1 63 87 1d 1e 24  |[.;.u]. T..c...$|
00000160  c4 f3 1d 1a 50 8b aa b6  14 43 ed 97 a7 75 62 f4  |....P....C...ub.|
00000170  14 c8 52 d7 02 03 01 00  01 a3 81 93 30 81 90 30  |..R.........0..0|
00000180  0e 06 03 55 1d 0f 01 01  ff 04 04 03 02 05 a0 30  |...U...........0|

00000060  00 00 16 03 03 02 0e 0b  00 02 0a 00 02 07 00 02  |................|
00000070  04 30 82 02 00 30 82 01  62 02 09 00 b8 bf 2d 47  |.0...0..b.....-G|
00000080  a0 d2 eb f4 30 09 06 07  2a 86 48 ce 3d 04 01 30  |....0...*.H.=..0|
00000090  45 31 0b 30 09 06 03 55  04 06 13 02 41 55 31 13  |E1.0...U....AU1.|
000000a0  30 11 06 03 55 04 08 13  0a 53 6f 6d 65 2d 53 74  |0...U....Some-St|

00000140  d9 2b 2b 24 23 77 5b 1c  3b bd 75 5d ce 20 54 cf  |.++$#w[.;.u]. T.|
00000150  a1 63 87 1d 1e 24 c4 f3  1d 1a 50 8b aa b6 14 43  |.c...$....P....C|
00000160  ed 97 a7 75 62 f4 14 c8  52 d7 02 03 01 00 01 a3  |...ub...R.......|
00000170  81 93 30 81 90 30 0e 06  03 55 1d 0f 01 01 ff 04  |..0..0...U......|
00000180  04 03 02 05 a0 30 1d 06  03 55 1d 25 04 16 30 14  |.....0...U.%..0.|

	VMALOF f3, g52, T_0, T_0 \
	VMALOF f3, g0, T_3, T_3  \
	VMALOF f3, g53, T_1, T_1 \
	VMALOF f3, g1, T_4, T_4  \
	VMALOF f3, g54, T_2, T_2 \
	VMALOF f4, g51, h0, h0   \
	VMALOF f4, g54, h3, h3   \
	VMALOF f4, g52, h1, h1   \
	VMALOF f4, g0, h4, h4    \
	VMALOF f4, g53, h2, h2   \
	VAG    T_0, h0, h0       \
	VAG    T_3, h3, h3       \
	VAG    T_1, h1, h1       \
	VAG    T_4, h4, h4       \
	VAG    T_2, h2, h2

                    low=-(i + 1), high=(i + 1), size=filter_shape[:-1]
                ).astype('f4')
                for i in range(self.out_channel_size)
            ],
            axis=-1,
        )

        self.bias = np.random.uniform(
            low=0, high=10, size=(self.out_channel_size)
        ).astype('f4')

      @def_function.function

00000140  61 3c c0 b0 41 d4 d9 2b  2b 24 23 77 5b 1c 3b bd  |a<..A..++$#w[.;.|
00000150  75 5d ce 20 54 cf a1 63  87 1d 1e 24 c4 f3 1d 1a  |u]. T..c...$....|
00000160  50 8b aa b6 14 43 ed 97  a7 75 62 f4 14 c8 52 d7  |P....C...ub...R.|
00000170  02 03 01 00 01 a3 81 93  30 81 90 30 0e 06 03 55  |........0..0...U|
00000180  1d 0f 01 01 ff 04 04 03  02 05 a0 30 1d 06 03 55  |...........0...U|

	return x // ERROR "converted OpPhi to Not$"
}

//go:noinline
func f3(a, b int) bool {
	x := false
	if a == b {
		x = true
	}
	return x // ERROR "converted OpPhi to Copy$"
}

//go:noinline
func f4(a, b bool) bool {
	return a || b // ERROR "converted OpPhi to OrB$"
}

//go:noinline
func f5or(a int, b bool) bool {
	var x bool
	if a == 0 {
		x = true
	} else {
		x = b
	}

>>> Flow 2 (server to client)
00000000  16 03 03 00 7a 02 00 00  76 03 03 b2 4d aa 76 5b  |....z...v...M.v[|
00000010  b7 38 95 18 e6 81 66 f8  27 82 26 2c b3 44 50 b0  |.8....f.'.&,.DP.|
00000020  f4 a8 f5 f2 87 f0 9d 85  4f ac 60 20 00 00 00 00  |........O.` ....|
00000030  00 00 00 00 00 00 00 00  00 00 00 00 00 00 00 00  |................|
00000040  00 00 00 00 00 00 00 00  00 00 00 00 13 03 00 00  |................|