* get_valid_count accuracy issue fixed for individual tests but not for all tests running together

* minor fix

* initialize valid_count and PrefixSum buffers

* test updated

* udpate relay test as well

* update document

* fix lint

* address comment

* fix lint

* correct atomicAdd identifier name

* [TEST][FLAKY] topi/tests/python/test_topi_sort.py::test_argsort

* upadate test function of argsort like topk

* Shuffle index and get data from shuffled index

* Replace the random.uniform with np.arange

* add TFLite version check for 'ceil' and 'cos'
* fix name check of test_op for positive inputs
* add error message for operator not found in the installed fbs schema

* support cuda tensorcore subbyte int data type in auto tensorcore

* add lisence

* pass cpplint

* fix code review comments

* merge the int4/int1 codegen tutorial into the existing auto tensorcore tutorial

* using master's new API

* disable tuning when cuda is not enabled

* address cr comment

* do not run the tuning

* fix test failure

* fix cpplint error

* fix bool type reduction bug

* 1. fix a index bug 2. fix returned bytes value of int1/int4/uint4

* fix typo

* fix indents

* Fix image scale and cross-ref

- Allows uniform conditions for select expressions (the same as halide)
  exposed by the loop vectorizer.

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

* Fix Python docstrings

* More fixes

* Fix lint

* [REFACTOR] Polish ffi convention.

- Remove the src/api, keep registration local to the c++ function.
- Remove the api_internal as it is no longer needed.

* Update the codebase walk through

* [Relay] Expose FunctionGetAttr to Python

* add test

Co-authored-by: Jon Soifer <jonso@microsoft.com>

* Basic test working

* Almost all tests working.

* all tests passing.

* Fixed lint.

* Improved Style.

Fixed bugs that occured when using bitwise operators on floating point type expressions. Further crash when using ops <<, >>, %. Finally added regression tests for both types of bug. (#4892)

- Move the related files to tvm.te
- Move build_module.py to tvm.driver

* Fix bug in re-processing call node

* Add test

* Add to main

* temp changes to work from another machine

* fix rest of tests

* fix test_reuse_call_merge

* fix merge

Co-authored-by: Jon Soifer <jonso@microsoft.com>

various minor editorial updates - style, grammar, typos.

* add additional switch to handle nested call node

* Fix VM compiler for while loop with free var

- Do not emit __shared__ etc. as part of type for casting

- Fix fp16 reduction kernels with compiler errors:

  "no operator "+" matches these operands, volatile half + volatile half

  This patch inserts casts to remove volatile type qualifier following
  volatile loads (fp16 only). CUDA fp16 library headers should add
  volatile member functions.

- Update have_fp16 to include compute 6.1 GPUs, which do support fp16,
  although their fp16 throughput is low. Updated tests.

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

* Support range in index based tuners

* Address comments

* Remove __*state__

* trigger CI

* add test case for per channel dense

* add unit arg in tflite frontend

* update qnn legalize test

* fix output dim index

* [QNN] Doc fix on quantize and convolution

* update test

- This allows to better utilize the memory bandwidth

- Note that not all cases are vectorized for fp16 datatype. For
  instance, when the size is not a multiple of 1024, the inner loop
  may be an expression that cannot be vectorized. In this case, a
  small inner loop is still benefical for latency hidding.

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

- Move related files into the corresponding location as in C++
- Keep the top-level TVM API backward compatible to make minimum changes in topi

Co-Authored-By: Wei Chen <ipondering.weic@gmail.com>

Co-Authored-By: Wei Chen <ipondering.weic@gmail.com>

Add tuneable conv3d_ndhwc schedule

* [FRONTEND][TFLITE] Add support for TFLite_Detection_PostProcess

This adds support for the custom operator
TFLite_Detection_PostProcess which is commonly used in
object detection networks such as SSD Mobilenet. It
only adds support for when use_regular_nms = False.

Change-Id: I819b253c0eb6f0fa55da65d2634e09359b888828

* Added a test for the tflite custom op

Change-Id: Ie5baa092deae9a8bcffd2ebd9f6d346b90e58afd

* Removed trailing comma

Change-Id: Ib08f02b5f1a59a883048bfb36e4321152cd2e7f2

* Added spaces between divide

Change-Id: If1171fc03d211a809cedeb800804394972af4060

* Formatted comment

Change-Id: I3ce7e69b8d2c73aec57369c1c64ea1eec07f087b

* Reduced line length in test

Change-Id: I49eaafc3369070f8f3e85fbb965ad20972096c68

* Set random seed for test

Change-Id: I542a787d11422ea83c52147b2cb1144fcef0dd77

* Fixes to style

Change-Id: I2971b8ecebe08c882b2481a99f67cfbe515e0b1f

* Assert for incorrect number of inputs

Change-Id: I393f3b3b62be73e427498d98456fb1d5a214e0af

* Change comparison to pass linting

The linter was updated, so I needed to fix
a small style issue as a result.

Change-Id: Ia3c954565a00de92e7fb1912eae9ed9875d60c7c

Move the related target modules into tvm.target.

API change:
- tvm.target.current_target -> tvm.target.Target.current
- tvm.datatype -> tvm.target.datatype