* [CI] Enable llvm in CPU test

* fix llvm

* Support rank-0 tensor

* fix lint

* [RANDOM] Init contrib.random library

* [RANDOM] Add uniform

* [RANDOM] Fix lint

* [RANDOM] Add comments and tests

* [RANDOM] Fix lint

* [CUDA] Enable int64

* [PYTHON] Fix rpc tutorial with opencl

* OK

* update

Change the parameter 'C' name

In unroll_loop.cc the parameter name is "auto_max_depth", but in ir_pass.h the parameter name is "auto_min_depth"

* [RPC][JVM] Remove binary dist gradle from repo

* fix header

* [PASS] Allow compact checking when strides is available

* remove assert compact

Readability.

* [PASS/SETUP] Fix minior issues

* fix lint

* mps

* update

* scheduler tweaked for super resolution perf

* conv2d_transpose schedule error fixed

* nnvm issue #239 fixed

some host opencl runtime may at cpu mode, but remote

client opencl runtime at gpu mode, compat it

* scheduler tweaked for super resolution perf

* lint error fixed

* lint error fixed

* conv2d_transpose schedule error fixed

* [TOPI] Add out_dtype argument for conv2d; Add x86 schedules

* Fix

* Fix lint

* Fix

* conv2d perf improved for conv2d_56_64_128, test name added to differentiate workloads

* fix lint error

* Make the tvm conda package build with in-place source and use cmake from conda.

* Add a package for topi.

* [PASS] Enhance LiftAttrScope

* update vt

* Support vector operations for AMD (llvm IR)

* fix whitespace

* update comments, docstring

* inline AMD GPU functions

* feat(docs) add how_to for tvm install with nnpack support

* feat(docs) change python package paragraph

* feat(doc) remove unsure sentence

* add comments on nnpack usage vs TVM

* remove mxnet nnpack tips for nthread change

* Support vector operations for AMD (llvm IR)

* fix whitespace

* update comments, docstring

Change minimum 32-bit restriction for floating point types to 8-bit.
This change is to enable reduced precision types that may use vector operations underneath the hood (cases #lanes > 1 such as half4).