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Signed-off-by: Edward Z. Yang <ezyang@fb.com>
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python 2.7.8 seems to not be supported by trusty travis |
Collaborator
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the URL it tries to download i.e. https://s3.amazonaws.com/travis-python-archives/binaries/ubuntu/14.04/x86_64/python-2.7.8.tar.bz2 does not exist. |
Contributor
Author
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Yes. According to Travis travis-ci/travis-ci#8153 they did not build this version of Python for Trusty. Is there are particular reason why this is the beginning of our version support? |
Collaborator
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it's the default python version in 12.04 if I remember correctly |
Contributor
Author
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Nope :)
But maybe there is an environment we care about where it is default. I'm looking. UPDATE: I couldn't find anything definitive. |
Signed-off-by: Edward Z. Yang <ezyang@fb.com>
Contributor
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Default python2 for Ubuntu releases: https://launchpad.net/ubuntu/+source/python-defaults Default python3 for Ubuntu releases: https://launchpad.net/ubuntu/+source/python3-defaults |
ruotianluo
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Jul 31, 2017
* commit '8262920b72374b1d9643f35057663ab02ab20330': (272 commits) Add ATen overload to AutoGPU. (pytorch#2234) Add comments for default value (pytorch#2242) Remove dead THPP code that has been replaced with ATen objects. (pytorch#2235) fix a bug where an uninitialized at::Tensor was passed to createPyObject (pytorch#2239) Replace thpp::Tensor with ATen Tensor in autograd csrc (pytorch#2170) Added aarch64 support (pytorch#2226) Increase tol. for float tensor qr big test. Improve Variable.retain_grad add `retain_grad` method, to variable, so gradient gets stored during backpop, on non-user variables Implement BatchNorm double backwards (pytorch#2207) [bugfix] in bce_with_logits logsumexp calculation (pytorch#2221) fix for ATen API Change Opt into Trusty builds. (pytorch#2214) allow retain to be specified for unsafeTensorFromTH Deduplicate THPUtils_checkLong/THPUtils_unpackLong (pytorch#2218) fix osx build errors related to long/int64_t Note [Undefined-dim versus 0-dim] Remove __func__ hack in auto nn. Enable Conv groups gradgradchecks. (pytorch#2216) fix a bug where some scalars were getting truncated to integers incorrectly. ...
ruotianluo
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Aug 1, 2017
* commit '8262920b72374b1d9643f35057663ab02ab20330': (272 commits) Add ATen overload to AutoGPU. (pytorch#2234) Add comments for default value (pytorch#2242) Remove dead THPP code that has been replaced with ATen objects. (pytorch#2235) fix a bug where an uninitialized at::Tensor was passed to createPyObject (pytorch#2239) Replace thpp::Tensor with ATen Tensor in autograd csrc (pytorch#2170) Added aarch64 support (pytorch#2226) Increase tol. for float tensor qr big test. Improve Variable.retain_grad add `retain_grad` method, to variable, so gradient gets stored during backpop, on non-user variables Implement BatchNorm double backwards (pytorch#2207) [bugfix] in bce_with_logits logsumexp calculation (pytorch#2221) fix for ATen API Change Opt into Trusty builds. (pytorch#2214) allow retain to be specified for unsafeTensorFromTH Deduplicate THPUtils_checkLong/THPUtils_unpackLong (pytorch#2218) fix osx build errors related to long/int64_t Note [Undefined-dim versus 0-dim] Remove __func__ hack in auto nn. Enable Conv groups gradgradchecks. (pytorch#2216) fix a bug where some scalars were getting truncated to integers incorrectly. ...
zou3519
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Mar 30, 2018
pytorch#2214) * Avoid duplicated log when explicitly specified engine is not available * Update operator.cc
jjsjann123
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Nov 29, 2022
The complex type defined by `defineComplexType` doesn't seem to work with nvcc. When compiled with nvcc, instead of using the definitions, include <complex>. Also disable some other parts that don't work with <complex>. This would of course break the complex type support, but as long as it's not used, it shouldn't matter. Compilation with nvcc should be just ad-hoc experiments of code modifications, so the limitation should be fine.
rraminen
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Aug 7, 2025
Additive on top of ROCm#2209 3D batchhorm tests (NHWC3D and NCHW3D) NCHW 3D tests: ``` test_batchnorm_3D_inference_NCHW_vs_cpu_float32 (__main__.TestNN) ... ok (0.149s) test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.062s) test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.042s) test_batchnorm_3D_inference_NCHW_vs_native_float32 (__main__.TestNN) ... ok (0.091s) test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16 (__main__.TestNN) ... ok (0.008s) test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.007s) test_batchnorm_3D_inference_NHWC_vs_NCHW_float32 (__main__.TestNN) ... ok (0.028s) test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_bfloat16 (__main__.TestNN) ... ok (0.010s) test_batchnorm_3D_inference_NHWC_vs_NCHW_mixed_float16 (__main__.TestNN) ... ok (0.010s) test_batchnorm_3D_inference_NHWC_vs_cpu_float32 (__main__.TestNN) ... ok (0.091s) test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.020s) test_batchnorm_3D_inference_NHWC_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.023s) test_batchnorm_3D_inference_NHWC_vs_native_float32 (__main__.TestNN) ... ok (0.010s) test_batchnorm_3D_inference_NHWC_vs_native_mixed_bfloat16 (__main__.TestNN) ... ok (0.015s) test_batchnorm_3D_inference_NHWC_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.007s) test_batchnorm_3D_train_NCHW_vs_cpu_float32 (__main__.TestNN) ... ok (0.011s) test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_3D_train_NCHW_vs_native_float32 (__main__.TestNN) ... ok (0.004s) test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16 (__main__.TestNN) ... skip: bfloat16 NCHW train failed due to native tolerance issue SWDEV-507600 (0.002s) test_batchnorm_3D_train_NCHW_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_3D_train_NHWC_vs_NCHW_float32 (__main__.TestNN) ... ok (0.006s) test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_bfloat16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_float16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_3D_train_NHWC_vs_cpu_float32 (__main__.TestNN) ... ok (0.004s) test_batchnorm_3D_train_NHWC_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_3D_train_NHWC_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_3D_train_NHWC_vs_native_float32 (__main__.TestNN) ... ok (0.011s) test_batchnorm_3D_train_NHWC_vs_native_mixed_bfloat16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_3D_train_NHWC_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.004s) ``` Old batchnorm tests will have `2D` it their names ``` test_batchnorm_2D_inference_NCHW_vs_cpu_float32 (__main__.TestNN) ... ok (0.023s) test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.005s) test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.005s) test_batchnorm_2D_inference_NCHW_vs_native_float32 (__main__.TestNN) ... ok (0.104s) test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.003s) test_batchnorm_2D_inference_NHWC_vs_NCHW_float32 (__main__.TestNN) ... ok (0.020s) test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_bfloat16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_inference_NHWC_vs_NCHW_mixed_float16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_inference_NHWC_vs_cpu_float32 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.003s) test_batchnorm_2D_inference_NHWC_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.003s) test_batchnorm_2D_inference_NHWC_vs_native_float32 (__main__.TestNN) ... ok (0.003s) test_batchnorm_2D_inference_NHWC_vs_native_mixed_bfloat16 (__main__.TestNN) ... ok (0.003s) test_batchnorm_2D_inference_NHWC_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.003s) test_batchnorm_2D_train_NCHW_vs_cpu_float32 (__main__.TestNN) ... ok (0.011s) test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_2D_train_NCHW_vs_native_float32 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16 (__main__.TestNN) ... skip: bfloat16 NCHW train failed due to native tolerance issue SWDEV-507600 (0.002s) test_batchnorm_2D_train_NCHW_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_train_NHWC_vs_NCHW_float32 (__main__.TestNN) ... ok (0.006s) test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_bfloat16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_2D_train_NHWC_vs_NCHW_mixed_float16 (__main__.TestNN) ... ok (0.006s) test_batchnorm_2D_train_NHWC_vs_cpu_float32 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_train_NHWC_vs_cpu_mixed_bfloat16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_train_NHWC_vs_cpu_mixed_float16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_train_NHWC_vs_native_float32 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_train_NHWC_vs_native_mixed_bfloat16 (__main__.TestNN) ... ok (0.004s) test_batchnorm_2D_train_NHWC_vs_native_mixed_float16 (__main__.TestNN) ... ok (0.004s) ``` Tested in `compute-rocm-dkms-no-npi-hipclang` image build 16062: `compute-artifactory.amd.com:5000/rocm-plus-docker/framework/compute-rocm-dkms-no-npi-hipclang:16062_ubuntu22.04_py3.10_pytorch_lw_release-2.7_1fee1967` Tests can be run with environment variable `MIOPEN_ENABLE_LOGGING_CMD=1` to collect MIOpenDriver commands ``` MIOPEN_ENABLE_LOGGING_CMD=1 python test_nn.py -v -k test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_bfloat16 test_batchnorm_3D_train_NHWC_vs_NCHW_mixed_bfloat16 (__main__.TestNN) ... MIOpen(HIP): Command [LogCmdBNorm] ./bin/MIOpenDriver bnormbfp16 -n 4 -c 8 -D 2 -H 2 -W 2 -m 1 --forw 1 -b 0 -r 1 -s 1 --layout NDHWC MIOpen(HIP): Command [LogCmdBNorm] ./bin/MIOpenDriver bnormbfp16 -n 4 -c 8 -D 2 -H 2 -W 2 -m 1 --forw 0 -b 1 -s 1 --layout NDHWC MIOpen(HIP): Command [LogCmdBNorm] ./bin/MIOpenDriver bnormbfp16 -n 4 -c 8 -D 2 -H 2 -W 2 -m 1 --forw 1 -b 0 -r 1 -s 1 --layout NCDHW MIOpen(HIP): Command [LogCmdBNorm] ./bin/MIOpenDriver bnormbfp16 -n 4 -c 8 -D 2 -H 2 -W 2 -m 1 --forw 0 -b 1 -s 1 --layout NCDHW ok ``` Co-authored-by: Jeff Daily <jeff.daily@amd.com>
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Signed-off-by: Edward Z. Yang ezyang@fb.com