Discovered via: __flake8 . --count --select=E9,F63,F72,F82 --show-source --statistics__

* [AutoTVM] Fix a bug in simulated annealing

* Update sa_model_optimizer.py

* [VTA] Add VTA PYNQ metal_test bitstream program logic and fix couple compile issue.

Issue:
VTAProgram not exist and cause compile error.
No logic to program the bitstream into FPGA.
metal test still use pynq 2.1 library which not support on latest
pynq 2.4.

Solution:
remove old VTAProgram.
when setting is pynq, program the bitstream during compile.
change DMA link library to libcma.

* Address review commends.

Summary:

In multi-threaded applications where we have multiple inferences on the
same model in parallel (consider e.g. a TTS system handling multiple
requests), it can be useful to share the parameters of a model amongst
these multiple instances. This improves the cache utilization behaviour
of the system, as multiple cores can use the same set of weights instead
of evicting the identical copies of weights in a shared cache.

As the underlying `NDArray` instances in `data_entry_` implement a
ref-counted based sharing system, this is a simple modification of the
`GraphRuntime::LoadParams` logic to instead copy parameters from an
existing GraphRuntime instance. This is a little ugly in that we need
both the pre-existing GraphRuntime instance, as well as the 'serialized'
params (since we need to know the set of names we should copy), but
without imposing additional assumptions (i.e. storing the set of param
names in GraphRuntime, and enforcing that shared param names are
identical to the parameters set in the preceding `LoadParams` call),
this seems unavoidable.

Test Plan:

Unit test added.

* Support bidirectional RNN layer

* tweak

* tweak

* [QUANTIZE] Support for clip operator

* [QUANTIZE] Memorizing the quantize node mapping.

* [QUANTIZE] Remove use_stop_fusion and skip_k_conv in qconfig

* update

* update

* update

* update

* update README

* fix typo

* Add EtaExpand to transform API

* Add test case

Issue:
when using vivado compile vta.cc with top function 'vta', vivado
report deadlock error like '...with default size is used in a non -dataflow
region, which may result in deadlock Please consider to resize the
stream using the directive ‘set_directive_stream’ or the ‘HL S stream’
pragma.'

Solution:
give the queue a default size as 8.

* [CI] Update ci-gpu to v0.52

* update nodejs

This reverts commit df6957a5.

save

save

save

upstream

lint

remove bad changes

fix build

save

save

please the ci god

Update src/relay/pass/partial_eval.cc

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

save

fix test

ci is ANGRY

fix rebase problem

fix rebase

add test

save

save

comment

* Update vm print & add AllocTensor instruction

* patch

* fix invoke packed

* update cmake

* tweak move

* update invoke_closure

* lint

* add doc

* tweak