Disable Float16 on the CPU backend

benchmark/benchmarks.jl

@@ -9,13 +9,16 @@ using Random
 
 if !haskey(ENV, "KA_BACKEND")
     const BACKEND = CPU()
+    const Ts = (Float32, Float64)
 else
     backend = ENV["KA_BACKEND"]
     if backend == "CPU"
         const BACKEND = CPU()
+        const Ts = (Float32, Float64)
     elseif backend == "CUDA"
         using CUDA
         const BACKEND = CUDABackend()
+        const Ts = (Float16, Float32, Float64)
     else
         error("Backend $backend not recognized")
     end
@@ -31,7 +34,7 @@ end
 SUITE["saxpy"] = BenchmarkGroup()
 
 let static = BenchmarkGroup()
-    for T in (Float16, Float32, Float64)
+    for T in Ts
         dtype = BenchmarkGroup()
         for N in (64, 256, 512, 1024, 2048, 4096, 16384, 32768, 65536, 262144, 1048576)
             dtype[N] = @benchmarkable begin
@@ -49,7 +52,7 @@ let static = BenchmarkGroup()
 end
 
 let default = BenchmarkGroup()
-    for T in (Float16, Float32, Float64)
+    for T in Ts
         dtype = BenchmarkGroup()
         for N in (64, 256, 512, 1024, 2048, 4096, 16384, 32768, 65536, 262144, 1048576)
             dtype[N] = @benchmarkable begin

src/pocl/compiler/compilation.jl

@@ -48,6 +48,13 @@ end
     supports_fp16 = "cl_khr_fp16" in dev.extensions
     supports_fp64 = "cl_khr_fp64" in dev.extensions
 
+    if !supports_fp64
+        @warn_once "Device does not support double precision floating point operations" dev
+    end
+    if !supports_fp16
+        @warn_once "Device does not support half precision floating point operations" dev
+    end
+
     # create GPUCompiler objects
     target = SPIRVCompilerTarget(; supports_fp16, supports_fp64, version = v"1.2", kwargs...)
     params = OpenCLCompilerParams()