pytorch/test
Dmytro Dzhulgakov 764bf826e3 Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/26840

Cleaning up top-level namespace. Also cosmetic changes to torch.backends.quantized

Test Plan: Imported from OSS

Differential Revision: D17604403

Pulled By: dzhulgakov

fbshipit-source-id: c55af277ea7319d962a82a6120f65ccd47a60abc
2019-09-27 13:45:15 -07:00
..
backward_compatibility Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
bottleneck
cpp C++ API parity: AdaptiveMaxPool2d 2019-09-27 12:41:38 -07:00
cpp_api_parity Improve C++ maxpool and avgpool (#26521) 2019-09-25 13:52:58 -07:00
cpp_extensions Delete backwards compatibility Backend overload for registerOp (#25914) 2019-09-25 07:21:44 -07:00
custom_operator
data
error_messages
expect
jit
onnx export baddbmm (#26901) 2019-09-26 22:53:21 -07:00
optim
test_module
common_cuda.py
common_device_type.py Lets generic tests use multiple devices (#26594) 2019-09-25 10:16:22 -07:00
common_distributed.py Multiple fixes to test_c10d.py. (#25441) 2019-08-30 18:22:58 -07:00
common_methods_invocations.py Fix nuclear norm with requires_grad=True (#26303) 2019-09-26 12:08:25 -07:00
common_nn.py Allow batch size of 0 in Conv 2019-09-23 14:47:29 -07:00
common_quantization.py Add more inplace arguments to quantization top level API (#26782) 2019-09-26 00:07:07 -07:00
common_quantized.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
common_utils.py Serialization for per channel qtensor (#26339) 2019-09-23 13:28:11 -07:00
expecttest.py
HowToWriteTestsUsingFileCheck.md
hypothesis_utils.py Try to disable annoying hypothesis warnings again (#26853) 2019-09-25 20:21:58 -07:00
jit_utils.py add CondValue to unify refinements and code emission (#26145) 2019-09-23 14:24:18 -07:00
run_test.py Makes test_indexing.py device generic (#26634) 2019-09-23 11:52:48 -07:00
simulate_nccl_errors.py
test_autograd.py enable double backward for non-cudnn LSTM and GRU (#26660) 2019-09-25 17:38:18 -07:00
test_c10d.py Add bitwise distributed reduction ops (#26824) 2019-09-26 08:09:49 -07:00
test_c10d_spawn.py Build torch.distributed with Gloo backend on macOS (#25260) 2019-09-05 07:09:50 -07:00
test_cpp_api_parity.py Improve C++ maxpool and avgpool (#26521) 2019-09-25 13:52:58 -07:00
test_cpp_extensions.py
test_cuda.py Moves more tests to TestTorchDeviceType (#26435) 2019-09-19 01:49:34 -07:00
test_cuda_primary_ctx.py
test_dataloader.py Fix no auto batching bugs: cannot bulk load; not work with namedtuple (#26065) 2019-09-16 07:22:31 -07:00
test_dist_autograd.py Attach 'send' autograd function to the autograd graph as part of RPC. (#24876) 2019-09-01 23:54:01 -07:00
test_distributed.py Make scatter/gather arguments optional (#25575) 2019-09-03 12:27:05 -07:00
test_distributions.py Enables _do_cuda_non_default_stream (#25989) 2019-09-11 16:00:50 -07:00
test_docs_coverage.py expose parse_schema and __eq__ function to python and add round trip tests (#23208) 2019-09-06 15:50:56 -07:00
test_expecttest.py
test_fake_quant.py Serialization and range reduction support for Fake Quant/Observer (#26519) 2019-09-27 10:09:39 -07:00
test_function_schema.py Add isBackwardCompatibleWith for Argument and FunctionSchema (#23409) 2019-09-13 20:37:14 -07:00
test_indexing.py Makes test_indexing.py device generic (#26634) 2019-09-23 11:52:48 -07:00
test_jit.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_jit_disabled.py
test_jit_fuser.py autodiff changes to enable profiling 2019-09-25 10:11:44 -07:00
test_jit_py3.py Make jit dicts ordered (#26465) 2019-09-19 15:09:02 -07:00
test_jit_string.py
test_logging.py
test_mkldnn.py
test_multiprocessing.py
test_multiprocessing_spawn.py
test_namedtensor.py Named tensor support for: index_fill_, index_fill, squeeze, median(Tensor) (#26914) 2019-09-27 12:28:49 -07:00
test_namedtuple_return_api.py
test_nccl.py
test_nn.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_numba_integration.py
test_optim.py Resolve #25605 cyclic reference in _LRScheduler (#25776) 2019-09-18 06:08:35 -07:00
test_qat.py Add torch.backends.mkldnn.enabled flag (#25459) 2019-09-11 12:09:40 -07:00
test_quantization.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_quantized.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_quantized_models.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_quantized_nn_mods.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_quantized_tensor.py quantized_tensor tests (#26784) 2019-09-25 10:33:30 -07:00
test_quantizer.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_rpc.py Added test case for reinit (#26506) 2019-09-24 16:39:33 -07:00
test_sparse.py Implement multiple dispatch (#26468) (#26501) 2019-09-20 10:12:04 -07:00
test_tensorboard.py fix flaky test (#26395) 2019-09-19 11:13:31 -07:00
test_throughput_benchmark.py
test_torch.py Remove fbgemm_is_cpu_supported in favor of torch.backends.quantized.supported_qengines (#26840) 2019-09-27 13:45:15 -07:00
test_type_hints.py
test_type_info.py
test_type_promotion.py Add torch.can_cast(from, to) function (#26805) 2019-09-27 08:40:34 -07:00
test_utils.py Hub improvements (#26723) 2019-09-25 08:21:50 -07:00