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Full console output after running /toolchain/bin/snitch_cluster.vlt build/runtime/samples/pomelo/pomelo
:
[fesvr] Wrote 36 bytes of bootrom to 0x1000
[fesvr] Wrote entry point 0x80000000 to bootloader slot 0x1020
[fesvr] Wrote 56 bytes of bootdata to 0x1024
[Tracer] Logging Hart 8 to logs/trace_hart_00000008.dasm
[Tracer] Logging Hart 0 to logs/trace_hart_00000000.dasm
[Tracer] Logging Hart 1 to logs/trace_hart_00000001.dasm
[Tracer] Logging Hart 2 to logs/trace_hart_00000002.dasm
[Tracer] Logging Hart 3 to logs/trace_hart_00000003.dasm
[Tracer] Logging Hart 4 to logs/trace_hart_00000004.dasm
[Tracer] Logging Hart 5 to logs/trace_hart_00000005.dasm
[Tracer] Logging Hart 6 to logs/trace_hart_00000006.dasm
[Tracer] Logging Hart 7 to logs/trace_hart_00000007.dasm
RESOURCE_EXHAUSTED; while invoking native function test_pamplemousse.matmulTiny;
[ 1] native hal.fence.create:0 -
[ 0] native test_pamplemousse.matmulTiny:0 -
- main.c file: https://github.com/CAPS-UMU/Quidditch/blob/zigzag/runtime/samples/pomelo/main.c
- MLIR file: https://github.com/CAPS-UMU/Quidditch/blob/zigzag/runtime/samples/pomelo/pamplemousse.mlir
- cmakelists.txt file: https://github.com/CAPS-UMU/Quidditch/blob/zigzag/runtime/samples/pomelo/CMakeLists.txt
More details:
- arith.mulf works
func.func @simple_mul(%arg0: tensor<3x3xf64>, %arg1: tensor<3x3xf64>) -> tensor<3x3xf64> {
%0 = "arith.mulf"(%arg0, %arg1) : (tensor<3x3xf64>, tensor<3x3xf64>) -> tensor<3x3xf64>
return %0 : tensor<3x3xf64>
}
- linalg.add works
func.func @matmulTiny(%lhs: tensor<3x3xf64>, %rhs: tensor<3x3xf64>, %acc: tensor<3x3xf64>) -> tensor<3x3xf64> {
%result = linalg.add
ins(%lhs, %rhs: tensor<3x3xf64>, tensor<3x3xf64>)
outs(%acc: tensor<3x3xf64>)
-> tensor<3x3xf64>
return %result: tensor<3x3xf64>
}
- linalg.matmul causes RESOURCES_EXHAUSTED error
func.func @matmulTiny(%lhs: tensor<3x3xf64>, %rhs: tensor<3x3xf64>, %acc: tensor<3x3xf64>) -> tensor<3x3xf64> {
%result = linalg.matmul
ins(%lhs, %rhs: tensor<3x3xf64>, tensor<3x3xf64>)
outs(%acc: tensor<3x3xf64>)
-> tensor<3x3xf64>
return %result: tensor<3x3xf64>
}
- Matrix sizes 4x4 and 64x64 also fail.
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