* Rename axis parameter in onnx squeeze

* Add test

The recent changes in tutorial is with PR # https://github.com/dmlc/tvm/pull/1501 broken the link for downloading the weights file, leading to this CI failure.

* [FRONTEND][TENSORFLOW] Add Transpose support.

* [FRONTEND][TENSORFLOW] Get parameter from inputs and fix document style.

* [FRONTEND][TENSORFLOW] Handle the case that perm is not specified.

* [FRONTEND][TENSORFLOW] Convert Rank and Range to param.

* [FRONTEND][TENSORFLOW] Fix a pylint issue.

* [FRONTEND][TENSORFLOW] Implement Rank and Range as normal op.

* [TOPI] add nn schedulers for HLS backends

* fix pylint

* fix topi transform test

* add docstring skip in hybrid script

* fix lint

* [TENSORFLOW] fix the convertion of sum and add testcase for it

* delete checking tyoe of axis and divide reduce test

* [CODEGEN][AOCL] Add math intrinsic rules

* introduce aocl_emu target for AOCL emulation

* rename aocl_emu with aocl_sw_emu

* update docs

[NODE] Enable global singleton object, allow set_body_typed in function registry, default fallback of IRPrinter. (#1652)

The old queue size is too small. It will stall the executor due to race condition.

* [NNVM][TEST] Numerical gradient testing

* [NNVM][TEST] Make some tests a little faster

* Fix the failing test_top_level3

* Target exclusion for the check_function

* Try to ignore singularities

* grad_input_vars now can't contain shapes

* Don't pass unnecessary grad_input_vars to check_function

* Multiple outputs; fixes; testing of check_function

* Use numerical_grads_params to pass parameters to numgrad checker

* Fail when no action is requested excplicitly

* Pass additional params to functions

* Silence the linter issue

* Simplified numgrad checking

* Improved docs for check_function

* Fixed the error message when no dtype is provided

* Several fixes

* Tests with shape/dtype inference for inputs

* Don't check dense's grads on cuda

* Raise an error if output dtypes haven't been inferred

* Moved shape/dtype inference into a separate function; use float32 as fallback

* Remove redundant dtype=float32

* Fix multiple outputs

* Use check_function in the rest of the test_top_level1

* support fallback & fix bugs in tuners & clean topi test

* update task extraction

* update task extraction

* fix arm tutorial

* Update tune_nnvm_arm.py