-
Notifications
You must be signed in to change notification settings - Fork 74.5k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Problems running the image example (Python 2.7.10, PyEnv, Xubuntu 14.04 64bit) #24
Comments
Ah, great description of the problem here. |
For now, you can build your own pip package via instructions here; see "Create the pip package and install". Let us know if that doesn't work. |
Please re-open if there's something left to diagnose here! |
I'm seeing what might be a related error:
Full traceback jvanderdoes@ubuntu:~/Code/tensorflow/tensorflow/models/image/imagenet$ python ./classify_image.py
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcublas.so.7.0 locally
I tensorflow/stream_executor/dso_loader.cc:93] Couldn't open CUDA library libcudnn.so.6.5. LD_LIBRARY_PATH: /usr/local/cuda-7.0/lib64
I tensorflow/stream_executor/cuda/cuda_dnn.cc:1382] Unable to load cuDNN DSO
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcufft.so.7.0 locally
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcuda.so locally
I tensorflow/stream_executor/dso_loader.cc:101] successfully opened CUDA library libcurand.so.7.0 locally
I tensorflow/core/common_runtime/local_device.cc:40] Local device intra op parallelism threads: 2
I tensorflow/core/common_runtime/gpu/gpu_init.cc:103] Found device 0 with properties:
name: GeForce GTX 960
major: 5 minor: 2 memoryClockRate (GHz) 1.342
pciBusID 0000:03:00.0
Total memory: 4.00GiB
Free memory: 3.91GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:127] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:137] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:702] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 960, pci bus id: 0000:03:00.0)
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:42] Allocating 3.62GiB bytes.
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:52] GPU 0 memory begins at 0x402780000 extends to 0x4e9f61000
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 1.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 2.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 4.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 8.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 16.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 32.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 64.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 128.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 256.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 512.0KiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 1.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 2.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 4.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 8.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 16.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 32.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 64.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 128.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 256.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 512.00MiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 1.00GiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 2.00GiB
I tensorflow/core/common_runtime/gpu/gpu_bfc_allocator.cc:66] Creating bin of max chunk size 4.00GiB
I tensorflow/core/common_runtime/direct_session.cc:58] Direct session inter op parallelism threads: 2
F tensorflow/stream_executor/cuda/cuda_dnn.cc:207] could not find cudnnCreate in cudnn DSO; dlerror: /usr/local/lib/python2.7/dist-packages/tensorflow/python/_pywrap_tensorflow.so: undefined symbol: cudnnCreate |
My apologies, I was simply missing cudnn. :/ |
Added missing CV import in multiple_gpu example
@FreakTheMighty |
* weight update * bug fix
* weight update * bug fix
VAE runner fixed, data needs different scaler
Add use_explicit_batch parameter available in OpConverterParams and other places Formatting and make const bool everywhere Enable use_explicit_batch for TRT 6.0 Revise validation checks to account for use_explicit_batch. Propagate flag to ConversionParams and TRTEngineOp Rename use_explicit_batch/use_implicit_batch Formatting Add simple activtion test for testing dynamic input shapes. Second test with None dims is disabled Update ConvertAxis to account for use_implicit batch fix use of use_implicit_batch (tensorflow#7) * fix use of use_implicit_batch * change order of parameters in ConvertAxis function fix build (tensorflow#8) Update converters for ResNet50 (except Binary ops) (tensorflow#9) * Update RN50 converters for use_implicit_batch: Conv2D, BiasAdd, Transpose, MaxPool, Squeeze, MatMul, Pad * Fix compilation errors * Fix tests Use TRT6 API's for dynamic shape (tensorflow#11) * adding changes for addnetworkv2 * add plugin utils header file in build * optimization profile api added * fix optimization profile * TRT 6.0 api changes + clang format * Return valid errors in trt_engine_op * add/fix comments * Changes to make sure activation test passes with TRT trunk * use HasStaticShape API, add new line at EOF Allow opt profiles to be set via env variables temporarily. Undo accidental change fix segfault by properly returning the status from OverwriteStaticDims function Update GetTrtBroadcastShapes for use_implicit_batch (tensorflow#14) * Update GetTrtBroadcastShapes for use_implicit_batch * Formatting Update activation test Fix merge errors Update converter for reshape (tensorflow#17) Allow INT32 for elementwise (tensorflow#18) Add Shape op (tensorflow#19) * Add Shape op * Add #if guards for Shape. Fix formatting Support dynamic shapes for strided slice (tensorflow#20) Support dynamic shapes for strided slice Support const scalars + Pack on constants (tensorflow#21) Support const scalars and pack with constants in TRT6 Fixes/improvements for BERT (tensorflow#22) * Support shrink_axis_mask for StridedSlice * Use a pointer for final_shape arg in ConvertStridedSliceHelper. Use final_shape for unpack/unstack * Support BatchMatMulV2. * Remove TODO and update comments * Remove unused include * Update Gather for TRT 6 * Update BatchMatMul for TRT6 - may need more changes * Update StridedSlice shrink_axis for TRT6 * Fix bugs with ConvertAxis, StridedSlice shrink_axis, Gather * Fix FC and broadcast * Compile issue and matmul fix * Use nullptr for empty weights * Update Slice * Fix matmul for TRT6 * Use enqueueV2. Don't limit to 1 input per engine Change INetworkConfig to IBuilderConfig Allow expand dims to work on dynamic inputs by slicing shape. Catch problems with DepthwiseConv. Don't try to verify dynamic shapes in CheckValidSize (tensorflow#24) Update CombinedNMS converter (tensorflow#23) * Support CombinedNMS in non implicit batch mode. The squeeze will not work if multiple dimensions are unknown * Fix compile error and formatting Support squeeze when input dims are unknown Support an additional case of StridedSlice where some dims aren't known Use new API for createNetworkV2 Fix flag type for createNetworkV2 Use tensor inputs for strided slice Allow squeeze to work on -1 dims Add TRT6 checks to new API spliting ConvertGraphDefToEngine (tensorflow#29) * spliting ConvertGraphDefToEngine into ConvertGraphDefToNetwork and BuildEngineFromNetwork * some compiler error * fix format Squeeze Helper function (tensorflow#31) * Add squeeze helper * Fix compile issues * Use squeeze helper for CombinedNMS Update Split & Unpack for dynamic shapes (tensorflow#32) * Update Unpack for dynamic shapes * Fix compilation error Temporary hack to fix bug in config while finding TRT library Fix errors from rebasing Remove GatherV2 limitations for TRT6 Fix BiasAdd elementwise for NCHW case with explicit batch mode (tensorflow#34) Update TRT6 headers, Make tests compile (tensorflow#35) * Change header files for TRT6 in configure script * Fix bug with size of scalars. Use implicit batch mode based on the converter flag when creating network * Fix compilation of tests and Broadcast tests Properly fix biasadd nchw (tensorflow#36) Revert tensorflow#29 to fix weight corruption (tensorflow#37) * Revert tensorflow#29 to fix weight corruption * Revert change in test Fix bug with converters and get all tests passing for TRT6 (tensorflow#39) Update DepthToSpace and SpaceToTest for TRT6 + dynamic shapes (tensorflow#40) Add new C++ tests for TRT6 converters (tensorflow#41) * Remove third shuffle layer since bug with transpose was fixed * Add new tests for TRT6 features * Update TRT6 headers list Fix compilation errors Remove bazel_build.sh Enable quantization mnist test back Disabled by mistake I believe Remove undesirable changes in quantization_mnist_test Add code back that was missed during rebase Fix bug: change "type" to type_key
…stream-sync-180613 upstream sync 180613
#MIGRATION_3P_TRITON__GIT_TO_THIRD_PARTY # Commits integrated - 726bdb984f2bcb48adfaa341ee7b0263be227b98 [FRONTEND][BACKEND] Fix constexpr assignment ; revert #24... by Zahi Moudallal <128723247+zahimoud@users.noreply.github.com> - 87a223d76fe32a28ca563c94215a95f505794c6d bump triton_shared (#2501) by Maksim Levental <maksim.levental@gmail.com> - 721897fcc4f942aa97d2e9ba3787a5e213758177 upgrade llvm to `b1115f8c` (NFC) (#2403) by Mehdi Amini <mamini@nvidia.com> - 05dc28be0e72dd496300a31b99a21a5a5118f8e9 [CI] refactor workflows (#2504) by Philippe Tillet <phil@openai.com> - 376acb610b5888263ee61713ff0a71e1d5908d69 [BUILD] Fix macos x86 build (#2505) by Thomas Raoux <thomas.raoux@openai.com> - 768fc1fcd98ecfc0892f8982b0bb009dd7bb11ea [FRONTEND] change hash to not require ptxas (#2476) by ian Bearman <ianb@microsoft.com> - e36d1665ca2f816212fc80ee2633caa66a0066bf [BACKEND] Fix unsupported view op created during optimiza... by Thomas Raoux <thomas.raoux@openai.com> - a980ec50f1ed3176e2603c25f73f0ddc031cf1d8 [BACKEND] Fixing f8e5m2 to bf16 conversion on A100 (#2508) by Zahi Moudallal <128723247+zahimoud@users.noreply.github.com> - a4f373938c9a4ba67105c5394c168945af4c990e [RUNTIME] Filter out paths that don't exist in json group... by Horace He <chilli@meta.com> - be1de890e1f9bdf0910521b5a536c332a1c1aa2f [BACKEND] Replace assert(0) with llvm::report_fatal_error... by Keren Zhou <kerenzhou@openai.com> - 0d57820be9ca360cf62cc3a7dc21aecc45a1c53a update triton-shared ref (#2506) by ian Bearman <ianb@microsoft.com> - bdf464e4a8f80ad6bd6a7b470cb3d36efd61c8a2 Make kernel_static_print test work when called twice. (#2... by Justin Lebar <justin.lebar@gmail.com> - 30186f401ec52d9addac79a60f418792875f7d11 Fix segfault in assertion test. (#2520) by Justin Lebar <justin.lebar@gmail.com> - dc9e3063d73d2410e1855e1ff258aa90a6158548 [HOPPER] Move to tl.make_block_ptr in flash_attention bac... by runseny <145632023+runseny@users.noreply.github.com> - b0c166b9e3f2f58c0906fa41f261787ebf3fef0d [BACKEND] Fixing bug in elementwise conversion (#2517) by Zahi Moudallal <128723247+zahimoud@users.noreply.github.com> - 4f4c07e7d586aae3daa802ce86a9aa935f8cda17 [CI] add text file containing LLVM commit hash by Ashay Rane <ashay@users.noreply.github.com> - 7af27fadee0fce2218a1353feea2f76ea25ad005 update hash to 76ce4736721a by Phil Tillet <phil@openai.com> - f192611ff3bdacb8d1d1cad084dfe4cd277a0ec9 Bump LLVM version to https://github.com/llvm/llvm-project... by Goran Flegar <gflegar@google.com> PiperOrigin-RevId: 576212898
JFYI, I'm getting the following error when trying to execute the models/image/mnist/convolutional.py example (Python 2.7.10 in PyEnv, on Xubuntu 14.04, 64bit):
Will see if I can figure out something, but thought to report in the meanwhile.
The text was updated successfully, but these errors were encountered: