[DOCKER] Pin torchvision==0.4.1 #4140
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The existing sequence of pip install commands fetches and installs torch==1.0.1.post2 then fetches an unpinned version of torchvision, recent torchvision packages hardwire the specific torch version they depend on, the overall effect is that we install a pinned torch version then replace it with whatever version the torchvision package depends on. The most recent torchvision==0.4.1 package results in some test case failures. This patch pins torchvision back to 0.4.0, the most recent version that the test suite worked. Removing the explicit torch install because it is implied and pinned as dependency of torchvision. Change-Id: Ib30bf6aed79ff130ea15ef5134fefb0508790574
tqchen
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Oct 17, 2019
anijain2305
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Oct 17, 2019
The existing sequence of pip install commands fetches and installs torch==1.0.1.post2 then fetches an unpinned version of torchvision, recent torchvision packages hardwire the specific torch version they depend on, the overall effect is that we install a pinned torch version then replace it with whatever version the torchvision package depends on. The most recent torchvision==0.4.1 package results in some test case failures. This patch pins torchvision back to 0.4.0, the most recent version that the test suite worked. Removing the explicit torch install because it is implied and pinned as dependency of torchvision. Change-Id: Ib30bf6aed79ff130ea15ef5134fefb0508790574
wweic
pushed a commit
to neo-ai/tvm
that referenced
this pull request
Oct 18, 2019
The existing sequence of pip install commands fetches and installs torch==1.0.1.post2 then fetches an unpinned version of torchvision, recent torchvision packages hardwire the specific torch version they depend on, the overall effect is that we install a pinned torch version then replace it with whatever version the torchvision package depends on. The most recent torchvision==0.4.1 package results in some test case failures. This patch pins torchvision back to 0.4.0, the most recent version that the test suite worked. Removing the explicit torch install because it is implied and pinned as dependency of torchvision. Change-Id: Ib30bf6aed79ff130ea15ef5134fefb0508790574
petrex
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Oct 29, 2019
* master: (51 commits) [QNN][TFLite] Parsing QNN Add op. Adding MobilenetV2. (apache#4142) [CI] Pin NNPack pthreadtools version (apache#4152) Fix typo (apache#4144) [Relay][Frontend][TF] Add tensor array ops (apache#3798) [relay][vm] Separate VM runtime with executable (apache#4100) [PATCH] Fix undefined __floatdihf in libtvmruntime.so on aarch64. (apache#4119) [DOCKER] Pin torchvision==0.4.1 (apache#4140) [TOPI][x86] Cascade lake support. (apache#4123) [Relay] Improve build error when no lowered funcs are produced (apache#4132) [RUNTIME] Refactor object python FFI to new protocol. (apache#4128) Update PULL_REQUEST_TEMPLATE.md Adding support for dequantizing from int32 to float32. (apache#4130) [Relay][Training] Add and fix gradients (apache#4126) [QNN] Change default rouning to UPWARD. (apache#4131) Fix infer type of kernel in dense. (apache#4125) [Relay][AlterOpLayout] NHWC to NCHWc pad operator. (apache#4103) [ARITH] Fix lowering of floormod(x, y) != 0 (apache#4127) [RFC][RUNTIME] Introduce new object protocol. (apache#4115) [Relay][Topi] Disable conv NHWC pack int8. (apache#4038) Update task_cpp_unittest.sh ...
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The existing sequence of pip install commands fetches and installs
torch==1.0.1.post2 then fetches an unpinned version of torchvision,
recent torchvision packages hardwire the specific torch version they
depend on, the overall effect is that we install a pinned torch
version then replace it with whatever version the torchvision package
depends on.
The most recent torchvision==0.4.1 package results in some test case
failures.
This patch pins torchvision back to 0.4.0, the most recent version
that the test suite worked. Removing the explicit torch install
because it is implied and pinned as dependency of torchvision.
Change-Id: Ib30bf6aed79ff130ea15ef5134fefb0508790574