* init

staging on

final save before staging

save

init ver

init ver

ll stuff

save

add failing test

add file

pass test

fix error

huh?

save

Add test changes

Fix fusion with nested tuples

Fix reverse mode test

More hacking

Clean up AD

Hacking on reverse mode

Fix issue in reverse

save

fix lint

fix lint

fix lint

save

save

fix

support neg

address some comment

add back file

save

save

* save

* save

* save

* lint

* fix lint

* save

* fix

fixes

fixes

* Add GEMM autotvm template for x86

* Fix tophub link

* Disable RPC server logging file delete

* Update dense autotvm template

* Fix tests

* Fix lint

* tweak

* Register two templates with different tags

* Remove duplicated frontend tests

* Add test for nnvm to relay

* Add test to script

* Remove dcgan in nnvm_to_relay test due to unsupported op in cuda

* Fix bug in converting conv2d from nnvm to relay

* Fix dropout

* Add sptialpack schedule for arm cpu depthwise convolution

* Supply comments.

* [TFLite] CI recipe.

* 	* Custom bake tflite package and install.

* Add support for passing arguments by args and kwargs when using executor

* Fix linting

* Update comment, and add arity checking

* Small tweak to error message

relax the error constraints on these tests due to likely
FP compuation accuracy issues.

Add trace call expr to allow trace Tensor data
at the runtime. By default the default handler
is enabled which prints a tracing data to stdout,
otherwise user should specify a call_back as
global_function (aka @tvm.register_func).

The issue is related to:
https://discuss.tvm.ai/t/idea-trace-expression/945

* [Relay][Keras] force const dtype to be float32

* fix pylint

* Enhanced simplification rules for Div by a positive constant

* Fixed my last commit to correctly interpret TVM's division as truncated division

* Fixed implemenation of IntSet::can_prove_non_positive()

* addressed comments by @yzhliu

* addressed comments by @sgrechanik-h

* addressed more comments by @yzhliu