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34 lines
1.4 KiB
34 lines
1.4 KiB
#define CUDATOOLS_IMPLEMENTATION
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#include <Core.h>
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#include <Array.h>
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DEFINE_KERNEL(times2, const CudaTools::Array<int>& arr) {
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BASIC_LOOP(arr.shape().items()) {
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arr[iThread] *= 2;
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}
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}
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int main() {
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CudaTools::Array<int> arrRange = CudaTools::Array<int>::range(0, 10);
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CudaTools::Array<int> arrConst = CudaTools::Array<int>::constant(1);
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CudaTools::Array<double> arrLinspace = CudaTools::Array<int>::linspace(0, 5, 10);
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CudaTools::Array<int> arrComma({2, 2}); // 2x2 array.
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arrComma << 1, 2, 3, 4; // Comma initializer if needed.
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std::cout << arrRange << "\n" << arrConst << "\n" << arrLinspace << "\n" << arrComma "\n";
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// Call the kernel multiple times asynchronously. Note: since they share same
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// stream, they are not run in parallel, just queued on the device.
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KERNEL(times2, CudaTools::Kernel::basic(arrRange.shape().items()), arrRange);
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KERNEL(times2, CudaTools::Kernel::basic(arrConst.shape().items()), arrRange);
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KERNEL(times2, CudaTools::Kernel::basic(arrLinspace.shape().items()), arrRange).wait();
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KERNEL(times2, CudaTools::Kernel::basic(arrComma.shape().items()), arrRange).wait();
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arrRange.updateHost();
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arrConst.updateHost();
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arrLinspace.updateHost();
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arrComma.updateHost().wait(); // Only need to wait for the last one, since they have the same stream.
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std::cout << arrRange << "\n" << arrConst << "\n" << arrLinspace << "\n" << arrComma "\n";
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return 0;
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}
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