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I would like to run the auto-schedule at runtime for a Func not known at the compilation time.
For that I design a function:
class AutoScheduledDynamic : public Generator<AutoScheduledDynamic>
{
public:
static GeneratorInput<Buffer<f32>> oInput;
static GeneratorOutput<Buffer<f32>> oOutput;
void generate()
{
oStart();
Func oPassthrough{ "Passthrough" };
oPassthrough( x, y, c ) = oInput( x, y, c );
Func oOperation = oFunc( oPassthrough );
oOutput( x, y, c ) = oOperation( x, y, c );
oEnd();
}
void schedule()
{
if (auto_schedule)
{
oInput.set_estimates(oRegInput);
oOutput.set_estimates(oRegOutput);
}
}
static Region oRegInput;
static Region oRegOutput;
static std::function<Func(Func)> oFunc;
static std::function<void()> oStart;
static std::function<void()> oEnd;
static Var x, y, c;
};
Where oFunc is defined on the code. We can imagine an stack of operations for image processing stacked by a user behind a UI.
Like:
Blur > Resize > ... > Sharpen
And we want to perform an autoschedule to have an overall optimization.
As a toy-test I used: Halide::Internal::generate_filter_main(18, const_cast<char**>(&values[0]), std::cout);
Nevertheless I have: Unhandled exception: Error: Must use Output<> with generate() method.
I tried to add a dummy non-static GeneratorOutput<> which fix that.
I tried to check the code, wasn't able to find a solution.
Do we have a comment with my approch? Or a solution?
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I would like to run the auto-schedule at runtime for a Func not known at the compilation time.
For that I design a function:
Where oFunc is defined on the code. We can imagine an stack of operations for image processing stacked by a user behind a UI.
Like:
Blur > Resize > ... > Sharpen
And we want to perform an autoschedule to have an overall optimization.
At the runtime level we do:
To replace the macro:
As a toy-test I used:
Halide::Internal::generate_filter_main(18, const_cast<char**>(&values[0]), std::cout);Nevertheless I have:
Unhandled exception: Error: Must use Output<> with generate() method.I tried to add a dummy non-static GeneratorOutput<> which fix that.
I tried to check the code, wasn't able to find a solution.
Do we have a comment with my approch? Or a solution?
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