summaryrefslogtreecommitdiff
path: root/sci-ml/caffe2
diff options
context:
space:
mode:
Diffstat (limited to 'sci-ml/caffe2')
-rw-r--r--sci-ml/caffe2/Manifest8
-rw-r--r--sci-ml/caffe2/caffe2-2.4.1-r4.ebuild24
-rw-r--r--sci-ml/caffe2/caffe2-2.5.1-r8.ebuild24
-rw-r--r--sci-ml/caffe2/caffe2-2.6.0.ebuild24
-rw-r--r--sci-ml/caffe2/metadata.xml10
5 files changed, 45 insertions, 45 deletions
diff --git a/sci-ml/caffe2/Manifest b/sci-ml/caffe2/Manifest
index 5eb789f31d68..4ddb7ca57d5a 100644
--- a/sci-ml/caffe2/Manifest
+++ b/sci-ml/caffe2/Manifest
@@ -12,7 +12,7 @@ DIST caffe2-patches-20240809.tar.gz 15242 BLAKE2B 77503c61487e7d85cca5afcab9a6e6
DIST pytorch-2.4.1.tar.gz 115029469 BLAKE2B c2909ff27d527bc57cba56b780d3b8cd07a043ab045caa6c6b27857a16f9ad10aaab2116b26226b1e46ee08ffb44007965d914464418e4ae14ca48c3f3f383bb SHA512 7e9b4485e242eaf0d648765c6621d73d95e7107b766646a098175436d1ab2e2b864badd0757a3bab6b7c318233f2120bad9ac07b39bb9e357897919580c87631
DIST pytorch-2.5.1.tar.gz 116091366 BLAKE2B 7838b17562b94ffc7d798031348689db607dd5eae2a3c35be365972e2b52a2c1b12067068d5aca5ab00cf0977d9c2c3c9ae5337d69534c864c732e6256cbeef6 SHA512 a913a466324a65fa3d79c5e9ad4d605fc7976f0134fda2f81aaa3cea29d56926604999b8a238759646d211e63b47bbb446cdffa86ca8defd8159f11e30301289
DIST pytorch-2.6.0.tar.gz 119594438 BLAKE2B 3152eb341cf42295e147e59625beb9c06608aa4b78f9618c1c0024b10c1c767715d07fe8c4be52d029ac47f808cd0d5e65c9530ec90d951a64b993083b4067ad SHA512 a70da80ff09d226085e18228132cf6bb236ad8cc47eed52375d0d2a615f09dd33849da947270b5670c184eab60cb8e2adf11d801babfbda7aa621400501d07b0
-EBUILD caffe2-2.4.1-r4.ebuild 8557 BLAKE2B 260b57ed928b05a92d8d60f488e8873b0f38a27f402ae10b255fb18b7cefded9d21cee5ec5b42a3ce592cf62bcf08b177a854b4c07fbe96a7da83a1e66243fa1 SHA512 d269105ec46deabaeb143001ee429eef46994032e991706fea994f0c14c43d68db6c3957680670e211c287bd1865a9e109af3087dbf0c6e933254537cbb948ac
-EBUILD caffe2-2.5.1-r8.ebuild 8709 BLAKE2B bc51fd52e4cc86d50c1793a592bb1b5a38466f0332c7c9c0010eb051e42db694049237fe9b5dabdfa6f179437708a3cca7cc45fe79991828044698484cdfc237 SHA512 9576827a35e5b380b7142dd8cb7ffe4a85aa30693011425c999790919865e541eac41fd481337019af584b07e21397e0095f576197185940c59a054cfa5ef216
-EBUILD caffe2-2.6.0.ebuild 8745 BLAKE2B 0880979760a4c2ea297bdad4a130bbe706dc74780ddada5d93a78f9fd51634e2fe745caf8ef395e2fb223b1c0de4c647669bab727de7482ad1f80817f7f0c771 SHA512 e93d9a21d7ac83e97e934d3b91c9f62fffbea3eb19ae26a154d9375853a567d0cf7f98f5586b01784bef9f9356c6ec00f4904c14e42d6b7e60b361ae5d3c68eb
-MISC metadata.xml 1081 BLAKE2B 57800165612fd555263cab4cf0bb0521acd7d41f0023da501a50ccc5a479d25ad7087661a6eec500333c3cf9cc3a85d7be8e9385869c14d92f351d8d9df68556 SHA512 71cc785a5b1688b6a0ac971d31d5fa85bef86966aa80009c34e97caa385c81a7c2fb64ae34d0a39c21548d8238efd008da24bd838a47886bfa3f0d952246b76e
+EBUILD caffe2-2.4.1-r4.ebuild 8493 BLAKE2B 0e87ccde293ada0765a76580c82a8a9011eae0e554765347b2911f660587895758af79d774439f630806c4644f0e7f74f256b3efc3a6de94d049e46d0031d71b SHA512 28ee9b684719bace598d99f2fa532f91fe7e33882a2f2df4ba649fb000242c4bd09cb360c887da04e22c099c501effef3adab6f3fc299291e821888e797e4dc2
+EBUILD caffe2-2.5.1-r8.ebuild 8658 BLAKE2B 2cbc6401ad7a276a415feb2bb3652ce758201fff9252333384ef32aef21d91da01365f26ba46757f66d8b82d8d95ef223bb5807e111d308f241de013946c1376 SHA512 7f687014d47eac625e3496b46d29ff4dffbc3c4d9e0425b545b6b9495b2e9e80f5f3fa2ea42d2e0ff3f01e2555ead21f432736e0365caa34d1aed108a83d436f
+EBUILD caffe2-2.6.0.ebuild 8681 BLAKE2B 53ef41565f538c171e063a76fac06bfe5e8c4ac5c9ced917fbc07f359dc4e51feb70e182b7008254e18fdb9df4bb33df10442e8392efd4ca52f30da61f25f005 SHA512 0e909d6227b4f8bc2b0f7900bada6fd9bdd2bd410c7c64ef81a0c7fb2c8a2742e679f3e67946fdb6276f3246a817f5279604cd196e802124efb2bbeda0a589e6
+MISC metadata.xml 1162 BLAKE2B 8dba3cb46f3a2ec3be3e5b6fec7d6702095d926bde0416543f596021515775a3a870e1a3a0bb52e3b0e6b64254eef5ac963d42b678cd91f6b88377d292d4de50 SHA512 847ee1c39d29cf46d1a0b2c39563048aefc64daed00db50790206947bbf3e35cad4b52a15f92e760c5143a466283e33e1cc7e4bd70e1b48be584c805b2365b81
diff --git a/sci-ml/caffe2/caffe2-2.4.1-r4.ebuild b/sci-ml/caffe2/caffe2-2.4.1-r4.ebuild
index e50a3002c982..9fb7f21f1712 100644
--- a/sci-ml/caffe2/caffe2-2.4.1-r4.ebuild
+++ b/sci-ml/caffe2/caffe2-2.4.1-r4.ebuild
@@ -41,7 +41,7 @@ RDEPEND="
dev-cpp/gflags:=
>=dev-cpp/glog-0.5.0
dev-libs/cpuinfo
- dev-libs/libfmt
+ dev-libs/libfmt:=
dev-cpp/opentelemetry-cpp
dev-libs/protobuf:=
dev-libs/pthreadpool
@@ -49,21 +49,21 @@ RDEPEND="
dev-libs/sleef[cpu_flags_x86_sse3(+),cpu_flags_x86_ssse3(+)]
dev-libs/sleef[cpu_flags_x86_sse4_1(+),cpu_flags_x86_sse4_2(+)]
virtual/lapack
- sci-libs/onnx
- sci-libs/foxi
+ sci-ml/onnx
+ sci-ml/foxi
cuda? (
dev-libs/cudnn
>=dev-libs/cudnn-frontend-1.0.3:0/8
<dev-util/nvidia-cuda-toolkit-12.5:=[profiler]
)
- fbgemm? ( >=dev-libs/FBGEMM-2023.12.01 )
- gloo? ( sci-libs/gloo[cuda?] )
+ fbgemm? ( sci-ml/FBGEMM )
+ gloo? ( sci-ml/gloo[cuda?] )
mpi? ( virtual/mpi )
- nnpack? ( sci-libs/NNPACK )
+ nnpack? ( sci-ml/NNPACK )
numpy? ( $(python_gen_cond_dep '
dev-python/numpy[${PYTHON_USEDEP}]
') )
- onednn? ( dev-libs/oneDNN )
+ onednn? ( sci-ml/oneDNN )
opencl? ( virtual/opencl )
qnnpack? (
!sci-libs/QNNPACK
@@ -90,10 +90,10 @@ RDEPEND="
amdgpu_targets_gfx942? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx942] )
)
distributed? (
- sci-libs/tensorpipe[cuda?]
+ sci-ml/tensorpipe[cuda?]
dev-cpp/cpp-httplib
)
- xnnpack? ( >=sci-libs/XNNPACK-2024.02.29 )
+ xnnpack? ( sci-ml/XNNPACK )
mkl? ( sci-libs/mkl )
openblas? ( sci-libs/openblas )
"
@@ -101,13 +101,13 @@ DEPEND="
${RDEPEND}
dev-libs/clog
cuda? ( <=dev-libs/cutlass-3.4.1 )
- onednn? ( sci-libs/ideep )
+ onednn? ( sci-ml/ideep )
dev-libs/psimd
- dev-libs/FP16
+ sci-ml/FP16
dev-libs/FXdiv
dev-libs/pocketfft
dev-libs/flatbuffers
- >=sci-libs/kineto-0.4.0_p20240525
+ sci-ml/kineto
$(python_gen_cond_dep '
dev-python/pyyaml[${PYTHON_USEDEP}]
dev-python/pybind11[${PYTHON_USEDEP}]
diff --git a/sci-ml/caffe2/caffe2-2.5.1-r8.ebuild b/sci-ml/caffe2/caffe2-2.5.1-r8.ebuild
index 0e476ce00275..848c743feb57 100644
--- a/sci-ml/caffe2/caffe2-2.5.1-r8.ebuild
+++ b/sci-ml/caffe2/caffe2-2.5.1-r8.ebuild
@@ -41,26 +41,26 @@ RDEPEND="
dev-cpp/nlohmann_json
dev-cpp/opentelemetry-cpp
dev-libs/cpuinfo
- dev-libs/libfmt
+ dev-libs/libfmt:=
dev-libs/protobuf:=
dev-libs/pthreadpool
dev-libs/sleef
virtual/lapack
- sci-libs/onnx
- sci-libs/foxi
+ sci-ml/onnx
+ sci-ml/foxi
cuda? (
dev-libs/cudnn
>=dev-libs/cudnn-frontend-1.0.3:0/8
dev-util/nvidia-cuda-toolkit:=[profiler]
)
- fbgemm? ( >=dev-libs/FBGEMM-2023.12.01 )
- gloo? ( sci-libs/gloo[cuda?] )
+ fbgemm? ( sci-ml/FBGEMM )
+ gloo? ( sci-ml/gloo[cuda?] )
mpi? ( virtual/mpi )
- nnpack? ( sci-libs/NNPACK )
+ nnpack? ( sci-ml/NNPACK )
numpy? ( $(python_gen_cond_dep '
dev-python/numpy[${PYTHON_USEDEP}]
') )
- onednn? ( =dev-libs/oneDNN-3.5* )
+ onednn? ( =sci-ml/oneDNN-3.5* )
opencl? ( virtual/opencl )
qnnpack? (
!sci-libs/QNNPACK
@@ -87,10 +87,10 @@ RDEPEND="
amdgpu_targets_gfx942? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx942] )
)
distributed? (
- sci-libs/tensorpipe[cuda?]
+ sci-ml/tensorpipe[cuda?]
dev-cpp/cpp-httplib
)
- xnnpack? ( ~sci-libs/XNNPACK-2024.02.29 )
+ xnnpack? ( ~sci-ml/XNNPACK-2024.02.29 )
mkl? ( sci-libs/mkl )
openblas? ( sci-libs/openblas )
"
@@ -99,13 +99,13 @@ DEPEND="
${RDEPEND}
qnnpack? ( dev-libs/clog )
cuda? ( <=dev-libs/cutlass-3.4.1 )
- onednn? ( sci-libs/ideep )
+ onednn? ( sci-ml/ideep )
dev-libs/psimd
- dev-libs/FP16
+ sci-ml/FP16
dev-libs/FXdiv
dev-libs/pocketfft
dev-libs/flatbuffers
- >=sci-libs/kineto-0.4.0_p20240525
+ sci-ml/kineto
$(python_gen_cond_dep '
dev-python/pyyaml[${PYTHON_USEDEP}]
dev-python/pybind11[${PYTHON_USEDEP}]
diff --git a/sci-ml/caffe2/caffe2-2.6.0.ebuild b/sci-ml/caffe2/caffe2-2.6.0.ebuild
index 56dbe5d03370..b7d62a0ae814 100644
--- a/sci-ml/caffe2/caffe2-2.6.0.ebuild
+++ b/sci-ml/caffe2/caffe2-2.6.0.ebuild
@@ -41,26 +41,26 @@ RDEPEND="
dev-cpp/nlohmann_json
dev-cpp/opentelemetry-cpp
dev-libs/cpuinfo
- dev-libs/libfmt
+ dev-libs/libfmt:=
dev-libs/protobuf:=
dev-libs/pthreadpool
dev-libs/sleef
virtual/lapack
- sci-libs/onnx
- sci-libs/foxi
+ sci-ml/onnx
+ sci-ml/foxi
cuda? (
dev-libs/cudnn
>=dev-libs/cudnn-frontend-1.0.3:0/8
dev-util/nvidia-cuda-toolkit:=[profiler]
)
- fbgemm? ( >=dev-libs/FBGEMM-2023.12.01 )
- gloo? ( sci-libs/gloo[cuda?] )
+ fbgemm? ( sci-ml/FBGEMM )
+ gloo? ( sci-ml/gloo[cuda?] )
mpi? ( virtual/mpi )
- nnpack? ( sci-libs/NNPACK )
+ nnpack? ( sci-ml/NNPACK )
numpy? ( $(python_gen_cond_dep '
dev-python/numpy[${PYTHON_USEDEP}]
') )
- onednn? ( =dev-libs/oneDNN-3.5* )
+ onednn? ( =sci-ml/oneDNN-3.5* )
opencl? ( virtual/opencl )
qnnpack? (
!sci-libs/QNNPACK
@@ -87,10 +87,10 @@ RDEPEND="
amdgpu_targets_gfx942? ( =sci-libs/hipBLASLt-6.1*[amdgpu_targets_gfx942] )
)
distributed? (
- sci-libs/tensorpipe[cuda?]
+ sci-ml/tensorpipe[cuda?]
dev-cpp/cpp-httplib
)
- xnnpack? ( >=sci-libs/XNNPACK-2024.02.29 )
+ xnnpack? ( sci-ml/XNNPACK )
mkl? ( sci-libs/mkl )
openblas? ( sci-libs/openblas )
"
@@ -99,13 +99,13 @@ DEPEND="
${RDEPEND}
qnnpack? ( dev-libs/clog )
cuda? ( <=dev-libs/cutlass-3.4.1 )
- onednn? ( sci-libs/ideep )
+ onednn? ( sci-ml/ideep )
dev-libs/psimd
- dev-libs/FP16
+ sci-ml/FP16
dev-libs/FXdiv
dev-libs/pocketfft
dev-libs/flatbuffers
- >=sci-libs/kineto-0.4.0_p20240525
+ sci-ml/kineto
$(python_gen_cond_dep '
dev-python/pyyaml[${PYTHON_USEDEP}]
dev-python/pybind11[${PYTHON_USEDEP}]
diff --git a/sci-ml/caffe2/metadata.xml b/sci-ml/caffe2/metadata.xml
index cef968bc82ed..0754850fe24c 100644
--- a/sci-ml/caffe2/metadata.xml
+++ b/sci-ml/caffe2/metadata.xml
@@ -7,18 +7,18 @@
</maintainer>
<use>
<flag name="distributed">Support distributed applications</flag>
- <flag name="fbgemm">Use FBGEMM</flag>
+ <flag name="fbgemm">Use <pkg>sci-ml/FBGEMM</pkg></flag>
<flag name="flash">Enable flash attention</flag>
- <flag name="gloo">Use sci-libs/gloo</flag>
+ <flag name="gloo">Use <pkg>sci-ml/gloo</pkg></flag>
<flag name="mkl">Use <pkg>sci-libs/mkl</pkg> for blas, lapack and sparse blas routines</flag>
- <flag name="nnpack">Use NNPACK</flag>
+ <flag name="nnpack">Use <pkg>sci-ml/NNPACK</pkg></flag>
<flag name="numpy">Add support for math operations through numpy</flag>
- <flag name="onednn">Use oneDNN</flag>
+ <flag name="onednn">Use <pkg>sci-ml/oneDNN</pkg></flag>
<flag name="openblas">Use <pkg>sci-libs/openblas</pkg> for blas routines</flag>
<flag name="openmp">Use OpenMP for parallel code</flag>
<flag name="qnnpack">Use QNNPACK</flag>
<flag name="rocm">Enable ROCm gpu computing support</flag>
- <flag name="xnnpack">Use XNNPACK</flag>
+ <flag name="xnnpack">Use <pkg>sci-ml/XNNPACK</pkg></flag>
</use>
<upstream>
<remote-id type="github">pytorch/pytorch</remote-id>
generated by cgit v1.2.3 (git 2.25.1) at 2025-04-01 02:11:04 +0000