Cycles: Make CUDA device internally operate with requested features
This just replaces internal argument `experimental` with `requested_features` making it possible to access particular requested settings when building kernels.
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@ -185,7 +185,7 @@ public:
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cuda_assert(cuCtxDestroy(cuContext));
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}
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bool support_device(bool /*experimental*/)
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bool support_device(const DeviceRequestedFeatures& /*requested_features*/)
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{
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int major, minor;
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cuDeviceComputeCapability(&major, &minor, cuDevId);
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@ -199,7 +199,7 @@ public:
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return true;
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}
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string compile_kernel(bool experimental)
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string compile_kernel(const DeviceRequestedFeatures& requested_features)
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{
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/* compute cubin name */
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int major, minor;
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@ -207,7 +207,7 @@ public:
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string cubin;
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/* attempt to use kernel provided with blender */
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if(experimental)
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if(requested_features.experimental)
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cubin = path_get(string_printf("lib/kernel_experimental_sm_%d%d.cubin", major, minor));
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else
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cubin = path_get(string_printf("lib/kernel_sm_%d%d.cubin", major, minor));
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@ -221,7 +221,7 @@ public:
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string kernel_path = path_get("kernel");
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string md5 = path_files_md5_hash(kernel_path);
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if(experimental)
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if(requested_features.experimental)
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cubin = string_printf("cycles_kernel_experimental_sm%d%d_%s.cubin", major, minor, md5.c_str());
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else
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cubin = string_printf("cycles_kernel_sm%d%d_%s.cubin", major, minor, md5.c_str());
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@ -280,7 +280,7 @@ public:
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"-DNVCC -D__KERNEL_CUDA_VERSION__=%d",
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nvcc, major, minor, machine, kernel.c_str(), cubin.c_str(), include.c_str(), cuda_version);
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if(experimental)
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if(requested_features.experimental)
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command += " -D__KERNEL_EXPERIMENTAL__";
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if(getenv("CYCLES_CUDA_EXTRA_CFLAGS")) {
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@ -316,11 +316,11 @@ public:
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return false;
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/* check if GPU is supported */
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if(!support_device(requested_features.experimental))
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if(!support_device(requested_features))
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return false;
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/* get kernel */
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string cubin = compile_kernel(requested_features.experimental);
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string cubin = compile_kernel(requested_features);
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if(cubin == "")
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return false;
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