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Files

Frank Seide 6bde0ca6d3 T66557700 Support default argument values of a method (#48863 )

Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/48863

Support default arguments when invoking a module via PyTorch Lite (`mobile::Module`).

Test Plan:
buck test mode/dbg //caffe2/test/cpp/jit:jit -- LiteInterpreterTest.MethodInvocation

buck test mode/dbg caffe2/test:mobile -- test_method_calls_with_optional_arg

Reviewed By: raziel, iseeyuan

Differential Revision: D25152559

fbshipit-source-id: bbf52f1fbdbfbc6f8fa8b65ab524b1cd4648f9c0

2020-12-16 15:55:03 -08:00

contrib

Revert D25507480: [quant][docs] Add fx graph mode quantization to quantization docs

2020-12-16 14:26:18 -08:00

core

Making ops c10-full: Storage arguments (#49146 )

2020-12-16 14:00:34 -08:00

cuda_rtc

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distributed

[Distributed] DeleteKey API for c10d TCP Store (#45401 )

2020-09-28 15:30:39 -07:00

experiments

Remove __future__ imports for legacy Python2 supports (#45033 )

2020-09-23 17:57:02 -07:00

ideep

Upgrade oneDNN (mkl-dnn) to v1.7 (#47853 )

2020-12-03 11:54:31 -08:00

image

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mobile

[PyTorch Mobile] Add continuous build config for xplat/caffe2

2020-12-09 16:58:20 -08:00

mpi

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observers

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onnx

[caffe2] Fix inplace ops in onnx::SsaRewrite (#46134 )

2020-10-22 13:26:31 -07:00

operators

[DPER] Introduce barrier operation to force synchronization of threads in async execution (#49322 )

2020-12-15 16:13:42 -08:00

opt

[shape inference] fix ConstantFill

2020-12-11 19:40:42 -08:00

perfkernels

Support int32 indices and offsets in nn.EmbeddingBag (#46758 )

2020-11-03 23:33:50 -08:00

predictor

caffe2: use at::mt19937 instead of std::mt19937 (10x speedup) (#43987 )

2020-10-16 16:08:35 -07:00

proto

[PyTorch] Narrow Device to 2 bytes by narrowing DeviceType and DeviceIndex (#47023 )

2020-11-18 19:39:40 -08:00

python

[DPER] Introduce barrier operation to force synchronization of threads in async execution (#49322 )

2020-12-15 16:13:42 -08:00

quantization

op to gen quant params from min-max thresholds

2020-12-09 19:13:53 -08:00

queue

[caffe2] adds Cancel to SafeDequeueBlobsOp and SafeEnqueueBlobsOp (#45177 )

2020-09-24 14:22:46 -07:00

serialize

T66557700 Support default argument values of a method (#48863 )

2020-12-16 15:55:03 -08:00

sgd

[pytorch] [PR] Rename cuda kernel checks to C10 (#48615 )

2020-12-01 18:19:07 -08:00

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test

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transforms

Replaced whitelisted with allowed (#41867 )

2020-07-23 16:53:51 -07:00

utils

Revert D23898398: [Mask R-CNN]Add Int8 AABB Generate proposals Op

2020-12-04 13:34:55 -08:00

video

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__init__.py

remediation of S205607

2020-07-17 17:19:47 -07:00

.clang-format

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c2_aten_srcs.bzl

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CMakeLists.txt

[CMake] Use libtorch_cuda list defined in bzl file (#49429 )

2020-12-15 20:51:16 -08:00

README.md

Grammar patch 1 (.md) (#41599 )

2020-07-20 10:19:08 -07:00

release-notes.md

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requirements.txt

Remove references to typing module from setup.py (#47677 )

2020-11-12 10:04:38 -08:00

VERSION_NUMBER

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README.md

Caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.

Questions and Feedback

Please use GitHub issues (https://github.com/pytorch/pytorch/issues) to ask questions, report bugs, and request new features.

README.md

Caffe2

Questions and Feedback

Further Resources on Caffe2.ai