* 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).

* enable popcount intrin

* fix lint

* add test

* fix python3

* removed fma dispatch

* added comments to explain why remove fma

* fix lint

* use fmuladd intrin for fma dispatch

* view llvm ir and gcn asm with module.get_source(...)

* fix lint

* [BUFFER] Smarter slice to detect compactness

* move simplify of begins early

* update topi/cuda schedules to use target.max_num_threads

* allow num_thread to be larger than cuda.max_num_threads

* remove get_max_num_threads and make it inline

* add friendly tips when not found cl and link

* fix lint