Co-authored-by: Zhang Hao <zhanghao@4paradigm.com>

* Bind constant tuples in the graph partitioner

Change-Id: I815b32b5445a536c1837369b04f67dbbb0aed900

* Add partitioning test

Change-Id: I3a492ec8d1beab4830214e3bc8da2a7c80771ca4

* Rename test target

Change-Id: Ie32f37c1395ff597c0047ad3a93ed04ce3f3125d

* [CODEGEN][CUDA] Fix a bug when vectorized load&store was involved for "char2"

* Add unittest for char2

* vector element load support char2&add some unittest for vector element load

* Merge common up logic&Support char3&Add unittest for char3

This patch ensures that the output shape from TVM's
Detection_PostProcess is the same as TFLite's and
expands the unit test to confirm this.

Change-Id: If5db95741533f131241dfebbaa7708dbd528fe70

* tflite spliv ops

* TFLITE fill and splitv ops

* TFLITE fill and splitv ops

* TFLITE fill and splitv ops

* remove unnecessary operator check

* TFLITE fill and splitv ops

* l2_pool_2d op changes in comment

* TFLite l2_pool_2d op added test case in main

* TFLite L2_POOL_2D added check for quantized input

on top of another image to be used as reference.

* Optimizations of global_ave_pool for NHWC layout

* Optimize the code format to pass inspection of pylint

Co-authored-by: Shawn-Inspur <wushaohua@inspur.com>

* Add operation relay.nn.dilate() which calls topi.nn.dilate().

* Fix typo

* Set op pattern to injective

* [RELAY] Move frontend utils

The util file currently under frontend is used from
outside of frontend (in qnn/op/legalizations). This suggests
that the file should be pushed up to a higher level.

The benefit from this change is that importing qnn no longer
also imports all the frontends.

* Inline get_scalar_from_constant

Change-Id: I1cc64e9ecb0eadb6ac0f7b62e6ea174644af4ad4

* Remove util.py from Relay

Change-Id: If9cd7cf3fc0bd1861a3a9b5604f338e084d8db96

* Shorten functions

Change-Id: Ieb537d82e6ee52421ff05a90cd00a03679ffebf2

* Line length

Change-Id: I1d216b7e73a060c4f118f5da50ce58b18eba907f

- remove unnecessary white spaces from storage kind
- do not start a new scope for vectorization as temporary
  variables are alll uniquely generated.

The above two changes make vectorized code much cleaner.

Signed-off-by: Wei Pan <weip@nvidia.com>

* Add TopK to ONNX Frontend

* respond to review comments

* [RELAY][PYTORCH]cosh,sinh,log2,log10,log1p op support

* Review comment fixed

* Gradient testcase added

The _type_child_slots can be used to enable quick type checking optimization
by checking the whether the type index is within the bound.

This PR enables these static slots:

- Introduce a static assert to avoid the scenario when a developer forget to
  _type_child_slots when the field is set for the type's parent.
- Revamp and assign static type index to common runtime objects
- Add a DumpTypeTable call to allow developer monitor the current situation
  of type table and offers suggestions for the slots(ideally the slots equals
  the number of children so there is no overflow.

Added missing "tir" in tvm.tir.analysis.verify_gpu_code(f, kwargs)

* [FRONTEND][TFLITE]Gather, StridedSlice op added

* Review comments fixed

* [PYTORCH]Where, addcdiv, addcmul op support

* Review comments fixed

To make runtime.String to work as naturally as possible in the python side,
we make it sub-class the python's str object. Note that however, we cannot
sub-class Object at the same time due to python's type layout constraint.

We introduce a PyNativeObject class to handle this kind of object sub-classing
and updated the FFI to handle PyNativeObject classes.

* [RFC] Pass pytest options globally.

In many places having a global pytest flag is useful . For me with the
build and test of tvm , I would like to be able to globally pass in
pytest options as part of development flow or CI flows where one would
like to measure other things regularly that need measurements including
pytest coverage data that I would like to experiment with across the stack.

This has been achieved with an additional setup-pytest-env.sh file in
tests/scripts rather than putting in something in every single task test
script and something I would like to avoid.

This now means the -v option to pytest is superfluous. I did consider
having a pytest.ini file but that doesn't allow me to pass any old
environment variable in and this seems to be the compromise.

* Improve other use case documentation

* Rationalize pytest environment.

* Remove the setting from docker/with_same_user.
* Take the opportunity to migrate common PYTHONPATH and
TVM_PATH into the common environment setting.

* Fixup vta fsim

* Be more explicit with common PYTHONPATH

* Fix python path for task_python_vta_fsim.sh properly

* Fix nit in documentation.

* Non-Recursive AnnotatedTarget and MergeAnnotation

* Non-Recursive AnnotatedRegionSet and RegionMerger

* [DOCS] Migrate some markdowns to rst, fix sphinx3 warnings

* Add note block

* Migrate Tensorflow and TFLite in the CI up to 1.15.2

The latest stable version of Tensorflow and Tensorflow lite
in the 1.x series is 1.15.2. The tflite frontend is receiving
support for versions of tflite > 1.14 but there is no consistent
testing.

There are 2 failures already in the source base with tf 1.15
and I'm concerned this will just get exacerbated over time
if we don't have CI picking this up and I view this as a stepping
stone towards stepping CI to TF2.x.

The test failures that I have commented will get issues raised
for them as issues to be fixed.

* Comment out run of qnn_mobilenet_v3_net

This is another test that fails with TFlite 1.15.2

* Skip the qnn_mobilenet_v3 test in the pytest fashion.

* Switch docker versions to support Tensorflow 2.1.0

* Fix up pytest imports and usage.

* Skip these tests currently for Tensorflow 2.1.0

Signed-off-by: Wei Pan <weip@nvidia.com>