Comments (2)
maleadt
commented on July 18, 2024
Tests fine on 0.6.3 with CUDA 9.2. Did see one stray GC corruption, but nothing reproducable:
Broadcast Fix: Error During Test
Test threw an exception of type MethodError
Expression: testf((x->begin
@fix logσ.(x)
end), rand(5))
GC error (probable corruption) :
Allocations: 43837076 (Pool: 43829115; Big: 7961); GC: 106
<?#0x7f557a5a6ed0::<circular reference @-1>>
signal (6): Aborted
while loading CuArrays/test/runtests.jl, in expression starting on line 39
gsignal at /usr/lib/libc.so.6 (unknown line)
abort at /usr/lib/libc.so.6 (unknown line)
gc_assert_datatype at julia-0.6/src/gc.c:1505 [inlined]
gc_mark_obj at julia-0.6/src/gc.c:1650 [inlined]
gc_push_root at julia-0.6/src/gc.c:1331
gc_scan_obj_ at julia-0.6/src/gc.c:1616
gc_push_root at julia-0.6/src/gc.c:1332
gc_scan_obj_ at julia-0.6/src/gc.c:1616
gc_push_root at julia-0.6/src/gc.c:1332
gc_mark_stack at julia-0.6/src/gc.c:1418 [inlined]
gc_mark_task_stack at julia-0.6/src/gc.c:1451 [inlined]
gc_mark_task at julia-0.6/src/gc.c:1477
gc_scan_obj_ at julia-0.6/src/gc.c:1600
gc_scan_obj at julia-0.6/src/gc.c:1639 [inlined]
jl_gc_mark_remset at julia-0.6/src/gc.c:1883 [inlined]
_jl_gc_collect at julia-0.6/src/gc.c:1925
jl_gc_collect at julia-0.6/src/gc.c:2093
jl_gc_pool_alloc at julia-0.6/src/gc.c:919
jl_gc_alloc_ at julia-0.6/src/julia_internal.h:249 [inlined]
jl_gc_alloc at julia-0.6/src/gc.c:2129
_new_array_ at julia-0.6/src/array.c:96
jl_array_copy at julia-0.6/src/array.c:919
stupdate! at ./inference.jl:2274
unknown function (ip: 0x7f557bb5319c)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
typeinf_work at ./inference.jl:2761
typeinf at ./inference.jl:2787
typeinf_edge at ./inference.jl:2535
unknown function (ip: 0x7f557bb4240a)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
abstract_call_gf_by_type at ./inference.jl:1420
unknown function (ip: 0x7f557bb40286)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
abstract_call at ./inference.jl:1897
unknown function (ip: 0x7f557bb3c39e)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
abstract_eval_call at ./inference.jl:1927
abstract_eval at ./inference.jl:1950
unknown function (ip: 0x7f557bb372d6)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
typeinf_work at ./inference.jl:2722
typeinf at ./inference.jl:2787
typeinf_frame at ./inference.jl:2504
typeinf_code at ./inference.jl:2583
unknown function (ip: 0x7f557bb5317d)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
typeinf_ext at ./inference.jl:2622
unknown function (ip: 0x7f557bb31d92)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
jl_apply at julia-0.6/src/julia.h:1424 [inlined]
jl_apply_with_saved_exception_state at julia-0.6/src/rtutils.c:257
jl_type_infer at julia-0.6/src/gf.c:262
jl_compile_for_dispatch at julia-0.6/src/gf.c:1661
jl_compile_method_internal at julia-0.6/src/julia_internal.h:307 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:354
jl_apply_generic at julia-0.6/src/gf.c:1926
#with_output_color#514 at ./util.jl:400
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
with_output_color at ./util.jl:397
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
#showerror#477 at ./replutil.jl:212
unknown function (ip: 0x7f550ae5fa49)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926 [inlined]
jl_apply at julia-0.6/src/julia.h:1424 [inlined]
jl_invoke at julia-0.6/src/gf.c:51
showerror at ./replutil.jl:211
unknown function (ip: 0x7f550ae5f79d)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
jl_apply at julia-0.6/src/julia.h:1424 [inlined]
jl_f__apply at julia-0.6/src/builtins.c:426
#sprint#230 at ./strings/io.jl:66
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
show at ./test.jl:138
print at ./strings/io.jl:29
unknown function (ip: 0x7f550ae54296)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
record at ./test.jl:565
unknown function (ip: 0x7f550ae53026)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
do_test at ./test.jl:352
unknown function (ip: 0x7f550ae52d76)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926 [inlined]
jl_apply at julia-0.6/src/julia.h:1424 [inlined]
jl_invoke at julia-0.6/src/gf.c:51
macro expansion at CuArrays/test/runtests.jl:95 [inlined]
macro expansion at ./test.jl:860 [inlined]
macro expansion at CuArrays/test/runtests.jl:92 [inlined]
macro expansion at ./test.jl:860 [inlined]
anonymous at ./<missing> (unknown line)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358 [inlined]
jl_toplevel_eval_flex at julia-0.6/src/toplevel.c:589
jl_parse_eval_all at julia-0.6/src/ast.c:873
jl_load at julia-0.6/src/toplevel.c:616 [inlined]
jl_load_ at julia-0.6/src/toplevel.c:623
include_from_node1 at ./loading.jl:576
unknown function (ip: 0x7f557bcc8c6b)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
include at ./sysimg.jl:14
unknown function (ip: 0x7f557bb5880b)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
process_options at ./client.jl:305
_start at ./client.jl:371
unknown function (ip: 0x7f557bcd7518)
jl_call_fptr_internal at julia-0.6/src/julia_internal.h:339 [inlined]
jl_call_method_internal at julia-0.6/src/julia_internal.h:358
jl_apply_generic at julia-0.6/src/gf.c:1926
unknown function (ip: 0x5b33044a02)
unknown function (ip: 0x5b330448f2)
__libc_start_main at /usr/lib/libc.so.6 (unknown line)
unknown function (ip: 0x5b330446e9)
Allocations: 43837076 (Pool: 43829115; Big: 7961); GC: 106
zsh: abort julia --depwarn=no --color=yes test/runtests.jl
from cuarrays.jl.
maleadt
commented on July 18, 2024
from cuarrays.jl.
Related Issues (20)
- similar(PermutedDimsArray(::CuArray)) isa Array HOT 1
- In CuArrays v2.0, GPU operation takes hours to run for the first time HOT 5
- sum!(y::CuVector, x::CuMatrix) throws InvalidIRError error
- Where can I find
- Where can I find All the using instructions of CuArrays? HOT 3
- add implicit float conversion to math functions HOT 4
- Multiplication between mixed types doesn't drop leading dimensions HOT 2
- Very slow 4D broadcast in 2.0.1 HOT 1
- Failed to detect installed CUDA version. HOT 1
- Sum function is slow HOT 8
- CURAND_STATUS_PREEXISTING_FAILURE with v2.0.1 but not v1.7.3 HOT 8
- Deadlock during memory free HOT 5
- Indexing CuArrays with Empty Ranges Errors HOT 5
- Sum, any, etc. with function is no longer implemented HOT 7
- Training Halts when Using CuArrarys HOT 6
- CUBLAS initialization HOT 1
- Performance issue with v2.1.0 compared with v1.7.3 HOT 4
- .+ CartesianIndices: InvalidIRError: compiling kernel broadcast HOT 1
- Package fails to load HOT 4
- Project.toml becoming stale (many notable package downgrades) HOT 1
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from cuarrays.jl.