Re: Installing openAI's GPT-2 Ada AI Language Model

Reply: Mario Marietto : "Re: Installing openAI's GPT-2 Ada AI Language Model"
In reply to: Mario Marietto : "Re: Installing openAI's GPT-2 Ada AI Language Model"
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From: Aryeh Friedman <aryeh.friedman_at_gmail.com>
Date: Fri, 21 Apr 2023 00:38:44 UTC
On Thu, Apr 20, 2023 at 12:24 PM Mario Marietto <marietto2008@gmail.com> wrote:
>
> try to copy and paste the commands that you have issued on pastebin...i need to understand the scenario

After saving the patch from the bug report to PORT/files and running
portmaster -P misc/pytourch (brand new machine except for  installing
portmaster):

c/ATen/UfuncCPUKernel_add.cpp.AVX2.cpp.o -c
/usr/ports/misc/pytorch/work/.build/aten/src/ATen/UfuncCPUKernel_add.cpp.AVX2.cpp
In file included from
/usr/ports/misc/pytorch/work/.build/aten/src/ATen/UfuncCPUKernel_add.cpp.AVX2.cpp:1:
In file included from
/usr/ports/misc/pytorch/work/.build/aten/src/ATen/UfuncCPUKernel_add.cpp:3:
In file included from
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/native/ufunc/add.h:6:
In file included from
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/functional.h:3:
In file included from
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/functional_base.h:6:
In file included from
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec.h:6:
In file included from
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256.h:12:
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:253:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_acosf8_u10);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:256:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_asinf8_u10);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:259:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_atanf8_u10);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:280:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_erff8_u10);
               ^~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:283:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_erfcf8_u15);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:300:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_expf8_u10);
               ^~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:303:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_expm1f8_u10);
               ^~~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:393:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_logf8_u10);
               ^~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:396:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_log2f8_u10);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:399:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_log10f8_u10);
               ^~~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:402:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_log1pf8_u10);
               ^~~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:406:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_sinf8_u10);
               ^~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:409:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_sinhf8_u10);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:412:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_cosf8_u10);
               ^~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:415:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_coshf8_u10);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:447:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_tanf8_u10);
               ^~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:450:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_tanhf8_u10);
               ^~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:460:16:
error: cannot initialize a parameter of type 'const __m256
(*)(__m256)' with an lvalue of type '__m256 (__m256)': different
return type ('const __m256' (vector of 8 'float' values) vs '__m256'
(vector of 8 'float' values))
    return map(Sleef_lgammaf8_u10);
               ^~~~~~~~~~~~~~~~~~
/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/cpu/vec/vec256/vec256_bfloat16.h:209:49:
note: passing argument to parameter 'vop' here
  Vectorized<BFloat16> map(const __m256 (*const vop)(__m256)) const {
                                                ^
18 errors generated.
[ 80% 1035/1283] /usr/bin/c++ -DAT_PER_OPERATOR_HEADERS
-DCPUINFO_SUPPORTED_PLATFORM=0 -DFMT_HEADER_ONLY=1
-DHAVE_MALLOC_USABLE_SIZE=1 -DHAVE_MMAP=1 -DHAVE_SHM_OPEN=1
-DHAVE_SHM_UNLINK=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS
-DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx
-DUSE_EXTERNAL_MZCRC -D_FILE_OFFSET_BITS=64 -Dtorch_cpu_EXPORTS
-I/usr/ports/misc/pytorch/work/.build/aten/src
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src
-I/usr/ports/misc/pytorch/work/.build
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/foxi
-I/usr/ports/misc/pytorch/work/.build/third_party/foxi
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/torch/csrc/api
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/torch/csrc/api/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/caffe2/aten/src/TH
-I/usr/ports/misc/pytorch/work/.build/caffe2/aten/src/TH
-I/usr/ports/misc/pytorch/work/.build/caffe2/aten/src
-I/usr/ports/misc/pytorch/work/.build/caffe2/../aten/src
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/torch/csrc
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/miniz-2.1.0
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/kineto/libkineto/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/kineto/libkineto/src
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/../third_party/catch/single_include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/..
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/c10/..
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/cpuinfo/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/FP16/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/fmt/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/flatbuffers/include
-isystem /usr/ports/misc/pytorch/work/pytorch-v1.13.1/cmake/../third_party/eigen
-isystem /usr/ports/misc/pytorch/work/pytorch-v1.13.1/caffe2 -O2 -pipe
-fstack-protector-strong -isystem /usr/local/include
-fno-strict-aliasing  -isystem /usr/local/include -Wno-deprecated
-fvisibility-inlines-hidden -fopenmp=libomp -DNDEBUG -DUSE_KINETO
-DLIBKINETO_NOCUPTI -DSYMBOLICATE_MOBILE_DEBUG_HANDLE
-DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra
-Werror=return-type -Werror=non-virtual-dtor
-Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds
-Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter
-Wno-unused-function -Wno-unused-result -Wno-strict-overflow
-Wno-strict-aliasing -Wno-error=deprecated-declarations
-Wvla-extension -Wno-range-loop-analysis -Wno-pass-failed
-Wno-error=pedantic -Wno-error=redundant-decls
-Wno-error=old-style-cast -Wconstant-conversion
-Wno-invalid-partial-specialization -Wno-typedef-redefinition
-Wno-unused-private-field -Wno-inconsistent-missing-override
-Wno-c++14-extensions -Wno-constexpr-not-const -Wno-missing-braces
-Wunused-lambda-capture -Wunused-local-typedef -Qunused-arguments
-fcolor-diagnostics -fdiagnostics-color=always
-Wno-unused-but-set-variable -fno-math-errno -fno-trapping-math
-Werror=format -Werror=cast-function-type -DHAVE_AVX512_CPU_DEFINITION
-DHAVE_AVX2_CPU_DEFINITION -O2 -pipe -fstack-protector-strong -isystem
/usr/local/include -fno-strict-aliasing  -isystem /usr/local/include
-DNDEBUG -DNDEBUG -std=gnu++14 -fPIC -DTH_HAVE_THREAD -Wall -Wextra
-Wno-unused-parameter -Wno-unused-function -Wno-unused-result
-Wno-missing-field-initializers -Wno-write-strings
-Wno-unknown-pragmas -Wno-type-limits -Wno-array-bounds
-Wno-sign-compare -Wno-strict-overflow -Wno-strict-aliasing
-Wno-error=deprecated-declarations -Wno-missing-braces
-Wno-range-loop-analysis -fvisibility=hidden -O2 -fopenmp=libomp
-DCAFFE2_BUILD_MAIN_LIB -pthread -MD -MT
caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize/input-archive.cpp.o
-MF caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize/input-archive.cpp.o.d
-o caffe2/CMakeFiles/torch_cpu.dir/__/torch/csrc/api/src/serialize/input-archive.cpp.o
-c /usr/ports/misc/pytorch/work/pytorch-v1.13.1/torch/csrc/api/src/serialize/input-archive.cpp
[ 80% 1035/1283] /usr/bin/c++ -DAT_PER_OPERATOR_HEADERS
-DCPUINFO_SUPPORTED_PLATFORM=0 -DFMT_HEADER_ONLY=1
-DHAVE_MALLOC_USABLE_SIZE=1 -DHAVE_MMAP=1 -DHAVE_SHM_OPEN=1
-DHAVE_SHM_UNLINK=1 -DMINIZ_DISABLE_ZIP_READER_CRC32_CHECKS
-DONNXIFI_ENABLE_EXT=1 -DONNX_ML=1 -DONNX_NAMESPACE=onnx
-DUSE_EXTERNAL_MZCRC -D_FILE_OFFSET_BITS=64 -Dtorch_cpu_EXPORTS
-I/usr/ports/misc/pytorch/work/.build/aten/src
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src
-I/usr/ports/misc/pytorch/work/.build
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/foxi
-I/usr/ports/misc/pytorch/work/.build/third_party/foxi
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/torch/csrc/api
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/torch/csrc/api/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/caffe2/aten/src/TH
-I/usr/ports/misc/pytorch/work/.build/caffe2/aten/src/TH
-I/usr/ports/misc/pytorch/work/.build/caffe2/aten/src
-I/usr/ports/misc/pytorch/work/.build/caffe2/../aten/src
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/torch/csrc
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/miniz-2.1.0
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/kineto/libkineto/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/kineto/libkineto/src
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/../third_party/catch/single_include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/aten/src/ATen/..
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/c10/..
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/cpuinfo/include
-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/FP16/include
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-I/usr/ports/misc/pytorch/work/pytorch-v1.13.1/third_party/flatbuffers/include
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>
> Il gio 20 apr 2023, 17:51 Aryeh Friedman <aryeh.friedman@gmail.com> ha scritto:
>>
>> On Thu, Apr 20, 2023 at 7:52 AM Thierry Thomas <thierry@freebsd.org> wrote:
>> >
>> > Le jeu. 20 avr. 23 à 12:53:05 +0200, Aryeh Friedman <aryeh.friedman@gmail.com>
>> >  écrivait :
>> >
>> > > Running without GPU (for now) on a bhyve vm (3 CPU, 2 GB RAM and 100
>> > > GB of disk) which I intend for determining if it is worse going out
>> > > and getting the hardware to do GPU.   The problem I had was getting
>> > > pytorch to work since it appears I have to build it from source and it
>> > > blows up in that build.
>> >
>> > Have you seen
>> > <https://bugs.freebsd.org/bugzilla/show_bug.cgi?id=269739> ?
>>
>> This seems to be true for all OS's I guess I will have to find an
>> intel machine... this is as bad as the motivation that led me to do
>> petitecloud in the first place (openstack not running on AMD period).
>>  Is there just no way to run a ANN in pytorch data format in any other
>> way that is not python (like Java?!!?) note the tensorflow port
>> required pytorch
>>
>>
>> --
>> Aryeh M. Friedman, Lead Developer, http://www.PetiteCloud.org
>>


-- 
Aryeh M. Friedman, Lead Developer, http://www.PetiteCloud.org