5093413a50
This patch adds an NVPTX compilation path that enables JIT compilation on NVIDIA targets. The following modifications were performed: 1. Adding a format field to the GPU object attribute, allowing the translation attribute to use the correct runtime function to load the module. Likewise, a dictionary attribute was added to add any possible extra options. 2. Adding the `createObject` method to `GPUTargetAttrInterface`; this method returns a GPU object from a binary string. 3. Adding the function `mgpuModuleLoadJIT`, which is only available for NVIDIA GPUs, as there is no equivalent for AMD. 4. Adding the CMake flag `MLIR_GPU_COMPILATION_TEST_FORMAT` to specify the format to use during testing.
31 lines
953 B
MLIR
31 lines
953 B
MLIR
// RUN: mlir-opt %s \
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// RUN: | mlir-opt -test-lower-to-nvvm="cubin-format=%gpu_compilation_format" \
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// RUN: | mlir-cpu-runner \
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// RUN: --shared-libs=%mlir_cuda_runtime \
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// RUN: --shared-libs=%mlir_runner_utils \
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// RUN: --entry-point-result=void \
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// RUN: | FileCheck %s
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// CHECK: Hello from 0, 2, 3.000000
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// CHECK: Hello from 1, 2, 3.000000
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module attributes {gpu.container_module} {
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gpu.module @kernels {
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gpu.func @hello() kernel {
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%0 = gpu.thread_id x
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%csti8 = arith.constant 2 : i8
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%cstf32 = arith.constant 3.0 : f32
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gpu.printf "Hello from %lld, %d, %f\n" %0, %csti8, %cstf32 : index, i8, f32
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gpu.return
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}
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}
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func.func @main() {
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%c2 = arith.constant 2 : index
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%c1 = arith.constant 1 : index
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gpu.launch_func @kernels::@hello
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blocks in (%c1, %c1, %c1)
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threads in (%c2, %c1, %c1)
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return
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}
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}
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