A program is not built on a CPU device in a heterogeneous context

MacOS 10.15.2, Python 3.7.5, PyOpenCL 2019.1.2

My machine has three available devices:
- 0: Intel(R) Core(TM) i7-8850H CPU @ 2.60GHz
- 1: Intel(R) UHD Graphics 630
- 2: AMD Radeon Pro Vega 20 Compute Engine

I am running the following code:
```
import pyopencl as cl

platform = cl.get_platforms()[0]
devices = platform.get_devices()
ctx = cl.Context([devices[0], devices[1]])

src = """
__kernel void sum(
__global const float *a_g, __global const float *b_g, __global float *res_g)
{
int gid = get_global_id(0);
res_g[gid] = a_g[gid] + b_g[gid];
}
"""

prg = cl.Program(ctx, src)
prg = prg.build()
for i in range(len(prg.devices)):
print("status for device", prg.devices[i], ": ",
prg.get_build_info(prg.devices[i], cl.program_build_info.STATUS))
print("prg.binaries", prg.binary_sizes)
```

When using devices 0 and 1 for the context (corresponding to the line above `ctx = cl.Context([devices[0], devices[1]])`), I get the following output:
```
status for device : 0
status for device : -2
prg.binaries [2227, 0]
```
That is, the build for the CPU fails (the logs are empty). Same result for devices 0 and 2. For devices 1 and 2 (that is, both GPUs), everything works:
```
status for device : 0
status for device : 0
prg.binaries [2227, 14256]
```

The following [crude OpenCL/C code](https://gist.github.com/fjarri/9e0b9be7f2cabbd7d3ffd03930b25b9f) that (as far as I can tell) attempts to do the same thing, returns success statuses for a context with devices 0 and 1. What can be the reason for the errors in Python?