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author	Elias Ellison <eellison@fb.com>
	Sat, 16 Feb 2019 00:12:44 +0000 (16:12 -0800)
committer	Facebook Github Bot <facebook-github-bot@users.noreply.github.com>
	Sat, 16 Feb 2019 00:27:57 +0000 (16:27 -0800)
commit	7caa21f5cad52933c1ea48198d7daeea53a8b6f0
tree	f81b85369716b7d20c59a1f05bd97d76f787c762	tree \| snapshot
parent	4fcab92d6c38fdbb725e74de1c4b09cf54fa8132	commit \| diff

move prim::None to a case in prim::Constant (#16160)

Summary:
This change simplifies analysis done on constants since prim::None does not need to be handled separately now. To check if a constant node is None, use node->isNone().

Next step will be to remove prim::Undefined.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/16160

Differential Revision: D14109636

Pulled By: eellison

fbshipit-source-id: d26fd383976163a2ddd4c24984bd672a541cc876

34 files changed:

aten/src/ATen/core/interned_strings.h		diff \| blob \| history
aten/src/ATen/core/jit_type.h		diff \| blob \| history
test/cpp/jit/gtest.cpp		diff \| blob \| history
test/cpp/jit/no-gtest.cpp		diff \| blob \| history
test/cpp/jit/test_misc.h		diff \| blob \| history
test/expect/TestJit.test_conv.expect		diff \| blob \| history
test/expect/TestScript.test_if_is_none_dispatch.expect	[new file with mode: 0644]	blob
test/expect/TestScript.test_mutable_dce_graph_input.expect		diff \| blob \| history
test/test_jit.py		diff \| blob \| history
torch/csrc/jit/autodiff.cpp		diff \| blob \| history
torch/csrc/jit/constants.cpp		diff \| blob \| history
torch/csrc/jit/constants.h		diff \| blob \| history
torch/csrc/jit/export.cpp		diff \| blob \| history
torch/csrc/jit/import_method.cpp		diff \| blob \| history
torch/csrc/jit/ir.cpp		diff \| blob \| history
torch/csrc/jit/ir.h		diff \| blob \| history
torch/csrc/jit/passes/alias_analysis.cpp		diff \| blob \| history
torch/csrc/jit/passes/constant_pooling.cpp		diff \| blob \| history
torch/csrc/jit/passes/constant_propagation.cpp		diff \| blob \| history
torch/csrc/jit/passes/erase_number_types.cpp		diff \| blob \| history
torch/csrc/jit/passes/graph_fuser.cpp		diff \| blob \| history
torch/csrc/jit/passes/python_print.cpp		diff \| blob \| history
torch/csrc/jit/passes/shape_analysis.cpp		diff \| blob \| history
torch/csrc/jit/passes/to_batch.cpp		diff \| blob \| history
torch/csrc/jit/passes/utils/subgraph_utils.cpp		diff \| blob \| history
torch/csrc/jit/python_ir.cpp		diff \| blob \| history
torch/csrc/jit/register_prim_ops.cpp		diff \| blob \| history
torch/csrc/jit/script/compiler.cpp		diff \| blob \| history
torch/csrc/jit/script/file_check.cpp	[new file with mode: 0644]	blob
torch/csrc/jit/script/init.cpp		diff \| blob \| history
torch/csrc/jit/symbolic_script.cpp		diff \| blob \| history
torch/jit/__init__.py		diff \| blob \| history
torch/onnx/symbolic.py		diff \| blob \| history
torch/onnx/utils.py		diff \| blob \| history

Domain: Machine Learning / ML Framework;

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