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torch-mlir/test/npcomp-run-mlir/constant-add-scalar.mlir

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Make input file to npcomp-run-mlir be positional. This makes command lines more succinct.
2020-07-14 07:00:54 +08:00
// RUN: npcomp-run-mlir %s \
npcomprt: add support for constants - create tcp.global + tcp.get_global_memref - create npcomprt.global + npcomprt.get_global - LLVM lowering for new npcomprt ops - Runtime: - GlobalDescriptor struct emitted by LLVM lowering - implement __npcomp_compiler_rt_get_global Also, - cleanly isolate all runtime data structure definitions shared by the compiler and runtime into lib/runtime/CompilerDataStructures.h
2020-07-11 08:31:24 +08:00
// RUN: -invoke constant_add_scalar \
// RUN: -arg-value="dense<3.0> : tensor<f32>" \
// RUN: -shared-libs=%npcomp_runtime_shlib 2>&1 \
// RUN: | FileCheck %s
// CHECK: output #0: dense<4.000000e+00> : tensor<f32>
func @constant_add_scalar(%arg0: tensor<f32>) -> tensor<f32> {
%0 = constant dense<1.0> : tensor<f32>
[RefE2E] Add assemblyFormat for TCF and TCP ops and tidy up.
2020-09-19 05:05:36 +08:00
%1 = tcf.add %arg0, %0 : (tensor<f32>, tensor<f32>) -> tensor<f32>
npcomprt: add support for constants - create tcp.global + tcp.get_global_memref - create npcomprt.global + npcomprt.get_global - LLVM lowering for new npcomprt ops - Runtime: - GlobalDescriptor struct emitted by LLVM lowering - implement __npcomp_compiler_rt_get_global Also, - cleanly isolate all runtime data structure definitions shared by the compiler and runtime into lib/runtime/CompilerDataStructures.h
2020-07-11 08:31:24 +08:00
return %1 : tensor<f32>
}