jroesch opened a new pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764
Currently WIP this adds compiler bindings to the TVM Rust bindings.
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AlexeyAB opened a new issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765
Feature-request: State-of-art **Yolo v4** Detector
* paper: https://arxiv.org/abs/2004.10934
* source code: https://github.com/AlexeyAB/darknet
* cfg-file Yolov4:
mbaret commented on pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#issuecomment-642072780
cc @mbrookhart @comaniac
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mbaret opened a new pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766
If InferType isn't run between partitioning passes, function calls are
inserted which don't have a type. This can result in failures for patterns
which want to check types.
This works
siju-samuel opened a new pull request #5767:
URL: https://github.com/apache/incubator-tvm/pull/5767
Sparse2Dense support added to tf frontend.
@masahi @srkreddy1238 Please help to review and merge this PR. TIA
This is
siju-samuel edited a comment on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642084669
@AlexeyAB Thanks for the YoloV4 paper. the output is impressive.
Few weeks back I already tried integrating this to tvm. In tvm we use
`network
tqchen commented on a change in pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#discussion_r438213646
##
File path: include/tvm/runtime/container.h
##
@@ -1554,6 +1604,925 @@ struct PackedFuncValueConverter> {
}
};
+/*! \brief map node content
siju-samuel commented on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642084669
@AlexeyAB Thanks for the YoloV4 paper. the output is impressive.
Few weeks back I already tried integrating this to tvm. In tvm we use
`network *load_network(char
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jroesch pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
The following commit(s) were added to refs/heads/master by this push:
new 60cfb79 [Rust] Second stage of Rust
jroesch merged pull request #5527:
URL: https://github.com/apache/incubator-tvm/pull/5527
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lixiaoquan commented on pull request #5757:
URL: https://github.com/apache/incubator-tvm/pull/5757#issuecomment-641943041
Is it possbile to happen in other passes? I run into a stack overflow in
WellFormChecker, and it keeps visiting LetNode. Not sure whether it is the same
issue.
t-vi commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-641871727
Seems the build failure was mostly the CI. :slightly_smiling_face:
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t-vi commented on a change in pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#discussion_r437984049
##
File path: python/tvm/relay/expr.py
##
@@ -487,6 +487,8 @@ def const(value, dtype=None):
- bool maps to "bool"
- other using the same
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jroesch pushed a commit to branch rust-tvm
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
commit fcdfffa2adfce22244ed19d3234060d7f4968147
Author: Jared Roesch
AuthorDate: Wed Jun 10 02:29:39 2020 -0700
liangfu commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r437896159
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
junrushao1994 commented on a change in pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#discussion_r437933974
##
File path: include/tvm/runtime/container.h
##
@@ -1554,6 +1593,954 @@ struct PackedFuncValueConverter> {
}
};
+/*! \brief map node
t-vi commented on a change in pull request #5752:
URL: https://github.com/apache/incubator-tvm/pull/5752#discussion_r437993129
##
File path: topi/python/topi/cuda/batch_matmul.py
##
@@ -51,55 +62,73 @@ def _schedule(op):
C = s.outputs[0].output(0)
b, y,
t-vi commented on a change in pull request #5752:
URL: https://github.com/apache/incubator-tvm/pull/5752#discussion_r437993129
##
File path: topi/python/topi/cuda/batch_matmul.py
##
@@ -51,55 +62,73 @@ def _schedule(op):
C = s.outputs[0].output(0)
b, y,
t-vi opened a new pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763
Previously, the PyTorch frontend approximated gelu with fastgelu.
To provide a more faithful conversion, we implement gelu instead.
We also tighten the numerical comparisons between
t-vi commented on pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763#issuecomment-641822467
@masahi this is from
https://discuss.tvm.ai/t/aspirations-for-conversion-and-unit-tests-in-the-pytorch-frontend/6922
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jroesch pushed a commit to branch rust-tvm
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git
commit 43325abcdf9b1aa8d405a9769aa43dc12f66112d
Author: Jared Roesch
AuthorDate: Wed Jun 10 02:30:10 2020 -0700
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jroesch pushed a change to branch rust-tvm
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
discard caa6904 All tests pass
discard 0c55c39 Finish removing anyhow and work with new external! macro
icemelon9 commented on pull request #5600:
URL: https://github.com/apache/incubator-tvm/pull/5600#issuecomment-642150126
That's great. I'll take a look at it.
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tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642218720
How about we first fix the usage of "float" throughout the codebase, then we
can send a PR to warn about "float" as dtype in the parser.
t-vi closed pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756
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t-vi commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-64584
I'll probably send fixes for the PyTorch frontend, I don't think I'm
qualified to fix it throughout the codebase, though.
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-64584
I'll probably send fixes for the PyTorch frontend, I don't think I'm
qualified to fix it throughout the codebase, though.
I might say that I have the feeling
jroesch commented on pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764#issuecomment-642226801
I made a mistake with remotes, going to reopn.
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tqchen commented on pull request #5748:
URL: https://github.com/apache/incubator-tvm/pull/5748#issuecomment-642226324
@junrushao1994 I will try to send a proposal around UnsafeNull
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jroesch closed pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764
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abergeron commented on pull request #5758:
URL: https://github.com/apache/incubator-tvm/pull/5758#issuecomment-642101273
I've confirmed manually that with the tophub changes the vta tests pass.
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mbaret commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438261289
##
File path: tests/python/relay/test_pass_merge_composite.py
##
@@ -953,26 +985,28 @@ def _check_type_false(extract):
return
t-vi commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```
tvm.relay.expr.const(1, dtype="float").data.dtype
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```python
>>> tvm.relay.expr.const(1, dtype="float").data.dtype
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```python
>>> tvm.relay.expr.const(1, dtype="float").data.dtype
siju-samuel commented on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642114545
@AlexeyAB `load_network_custom` with `batch=1` memory is ok. I will do the
rest. I think the `load_network` api is allocating memory for training as
well. Thanks.
t-vi edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642134657
@tqchen The thing I'm finding awkward to use is
```python
>>> tvm.relay.expr.const(1, dtype="float").data.dtype
vinx13 commented on pull request #5746:
URL: https://github.com/apache/incubator-tvm/pull/5746#issuecomment-642142044
thanks @ceruleangu @antinucleon @junrushao1994
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mwillsey commented on a change in pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764#discussion_r438302423
##
File path: rust/runtime/tests/test_wasm32/Cargo.toml
##
@@ -22,5 +22,6 @@ license = "Apache-2.0"
authors = ["TVM Contributors"]
tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642170343
Aha, that is definitely interesting. It is still worth to have a discussion
about the numpy compatibility vs favors common deep learning land. That could
leads to the
zhiics commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438322794
##
File path: src/relay/transforms/merge_composite.cc
##
@@ -36,17 +36,24 @@ namespace tvm {
namespace relay {
namespace merge_composite {
mbaret commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438334823
##
File path: src/relay/transforms/merge_composite.cc
##
@@ -36,17 +36,24 @@ namespace tvm {
namespace relay {
namespace merge_composite {
mbrookhart commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438355902
##
File path: src/relay/transforms/merge_composite.cc
##
@@ -36,17 +36,24 @@ namespace tvm {
namespace relay {
namespace merge_composite {
jroesch commented on a change in pull request #5764:
URL: https://github.com/apache/incubator-tvm/pull/5764#discussion_r438348392
##
File path: rust/tvm/src/ir/array.rs
##
@@ -0,0 +1,74 @@
+use std::convert::TryFrom;
+use std::marker::PhantomData;
+
+use
junrushao1994 commented on pull request #5748:
URL: https://github.com/apache/incubator-tvm/pull/5748#issuecomment-642203863
Do we have conclusions yet on what the best way is to support not-null with
composite objects?
notoraptor commented on pull request #5716:
URL: https://github.com/apache/incubator-tvm/pull/5716#issuecomment-642209115
Rebased to fix conflicts. @tqchen PR is approved by @abergeron !
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tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642241286
Thanks @t-vi I do not disagree, that is why we felt perhaps we should go
with float in the first place, how about also open a dicussion thread about
this topic?
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438405649
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
jwfromm commented on pull request #5755:
URL: https://github.com/apache/incubator-tvm/pull/5755#issuecomment-642273871
I'm definitely in favor of this change, some of the models that take a long
time to import are very unpleasant to deal with and taking a small hit on much
faster
junrushao1994 commented on pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#issuecomment-642286757
Some actionable items per offline discussion with @tqchen:
A1. We move things back to include/tvm/node, instead of runtime. This is
mainly due to the concern
junrushao1994 edited a comment on pull request #5740:
URL: https://github.com/apache/incubator-tvm/pull/5740#issuecomment-642286757
Some actionable items per offline discussion with @tqchen:
A1. We move things back to include/tvm/node, instead of runtime. This is
mainly due to the
anijain2305 commented on issue #5458:
URL: https://github.com/apache/incubator-tvm/issues/5458#issuecomment-642287159
Ping @icemelon9 If you get time.
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tmoreau89 commented on pull request #5:
URL: https://github.com/apache/incubator-tvm-vta/pull/5#issuecomment-642342815
Thanks so much @huajsj the PR has been approved and merged.
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moreau pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm-vta.git
The following commit(s) were added to refs/heads/master by this push:
new f1c3385 Add c++ and python local
tmoreau89 merged pull request #5:
URL: https://github.com/apache/incubator-tvm-vta/pull/5
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masahi commented on pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763#issuecomment-642343462
CI is still not happy. Could be related to CUDA issues.
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masahi commented on a change in pull request #5737:
URL: https://github.com/apache/incubator-tvm/pull/5737#discussion_r438492376
##
File path: python/tvm/relay/op/strategy/generic.py
##
@@ -345,6 +345,46 @@ def conv2d_transpose_strategy(attrs, inputs, out_type,
target):
masahi commented on a change in pull request #5737:
URL: https://github.com/apache/incubator-tvm/pull/5737#discussion_r438492454
##
File path: python/tvm/relay/op/strategy/generic.py
##
@@ -345,6 +345,46 @@ def conv2d_transpose_strategy(attrs, inputs, out_type,
target):
leonwanghui commented on pull request #5527:
URL: https://github.com/apache/incubator-tvm/pull/5527#issuecomment-642349670
@jroesch Got it, thanks a lot for the elaboration : )
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leonwanghui opened a new issue #5771:
URL: https://github.com/apache/incubator-tvm/issues/5771
Hi @tqchen @jroesch , I was working for embedding Rust runtime for WASM
target, but came across some problems when building test-wasm32 crate.
## Error elaboration
Firstly I need to
kevinthesun commented on pull request #5757:
URL: https://github.com/apache/incubator-tvm/pull/5757#issuecomment-642389407
Thanks @icemelon9 @jroesch @lixiaoquan
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kevinthesun merged pull request #5757:
URL: https://github.com/apache/incubator-tvm/pull/5757
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FrozenGene commented on pull request #5754:
URL: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-642374967
Thanks for the great work! I have some quick question:
1. Have you tested various models arm cpu? (like A53, A72, A55, A75 and so
on). According to fb qnnpack blog,
t-vi commented on pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763#issuecomment-642417669
Yeah, apparently, the end-to-end checks aren't completely deterministic, I
bumped them all to 1e-4 tolerance.
zhiics opened a new pull request #5770:
URL: https://github.com/apache/incubator-tvm/pull/5770
This PR attempts to separate metadata initialization and source code
compilation (when necessary). The discussion can be found here:
FrozenGene commented on pull request #5754:
URL: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-642375802
cc @ajtulloch
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tqchen opened a new pull request #5773:
URL: https://github.com/apache/incubator-tvm/pull/5773
This PR migrate tvm/tir/expr.h to the new constructor style that is
consistent with the rest of the codebase and changes the affected files
accordingly.
tmoreau89 commented on pull request #8:
URL: https://github.com/apache/incubator-tvm-vta/pull/8#issuecomment-642387343
@zhanghaohit I think that the warning approach is a reasonable compromise
between user-defined flexibility and making sure that they set the value
correctly.
To
tqchen closed issue #5771:
URL: https://github.com/apache/incubator-tvm/issues/5771
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tqchen commented on issue #5771:
URL: https://github.com/apache/incubator-tvm/issues/5771#issuecomment-642392302
Thanks @leonwanghui for bringing up the problem, the community uses
https://discuss.tvm.ai/ for general discussions, please bring a new thread
there https://discuss.tvm.ai/
wrongtest commented on pull request #5751:
URL: https://github.com/apache/incubator-tvm/pull/5751#issuecomment-642423655
There are two python unittest case aims to create executable binary but
finally run into `cc.create_shared()` code path. We add a new utility fn
leonwanghui closed pull request #5733:
URL: https://github.com/apache/incubator-tvm/pull/5733
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leonwanghui commented on pull request #5733:
URL: https://github.com/apache/incubator-tvm/pull/5733#issuecomment-642384629
Already fixed by transferring `Tensor` to `DLTensor` ABI.
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kevinthesun pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from ed58309 [topi] block sparse dense on cuda (#5746)
add c7274fd [Relay] Fix for recursive let
tqchen commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438463038
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
icemelon9 commented on pull request #5757:
URL: https://github.com/apache/incubator-tvm/pull/5757#issuecomment-642335433
@lixiaoquan Yes, that's possible. I could take a look as well.
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zhiics commented on a change in pull request #5699:
URL: https://github.com/apache/incubator-tvm/pull/5699#discussion_r438517544
##
File path: python/tvm/relay/frontend/tensorflow.py
##
@@ -2444,6 +2470,27 @@ def _in_while_loop(control_flow_node_map, op_name):
return
xqdan opened a new pull request #5772:
URL: https://github.com/apache/incubator-tvm/pull/5772
Thanks for contributing to TVM! Please refer to guideline
https://tvm.apache.org/docs/contribute/ for useful information and tips. After
the pull request is submitted, please request code
FrozenGene edited a comment on pull request #5754:
URL: https://github.com/apache/incubator-tvm/pull/5754#issuecomment-642374967
Thanks for the great work! I have some quick question:
1. Have you tested various models arm cpu? (like A53, A72, A55, A75 and so
on). According to fb qnnpack
tqchen commented on a change in pull request #5601:
URL: https://github.com/apache/incubator-tvm/pull/5601#discussion_r438430324
##
File path: src/tir/transforms/bf16_legalize.cc
##
@@ -0,0 +1,387 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438434392
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438434494
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438436066
##
File path: tutorials/micro/README.txt
##
@@ -0,0 +1,4 @@
+.. _tutorial-micro:
Review comment:
Removed
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438436184
##
File path: docs/conf.py
##
@@ -203,7 +203,8 @@
'../tutorials/deployment',
'../vta/tutorials/frontend',
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438437168
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438437454
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438437559
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
tom-gall commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438438414
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
masahi edited a comment on pull request #5755:
URL: https://github.com/apache/incubator-tvm/pull/5755#issuecomment-642300115
Correct me if I'm wrong, does this change make `infer_value` on down stream
nodes faster because the arguments are constant (computed bottom up) rather
than another
masahi commented on pull request #5755:
URL: https://github.com/apache/incubator-tvm/pull/5755#issuecomment-642300115
Correct me if I'm wrong, does this change mean `infer_value` on down stream
nodes should be faster because the arguments are constant (computed bottom up)
rather than
t-vi commented on pull request #5763:
URL: https://github.com/apache/incubator-tvm/pull/5763#issuecomment-642311242
Two of the end-to-end networks seemed to have deviations slightly above
1e-5. I moved those to 1e-4 tolerance.
mbrookhart commented on pull request #5760:
URL: https://github.com/apache/incubator-tvm/pull/5760#issuecomment-642092107
@jroesch The problem comes in handling the matcher in the backend. Since
Types belong to a lower level than the pattern language, we can't really embed
something like
AlexeyAB commented on issue #5765:
URL: https://github.com/apache/incubator-tvm/issues/5765#issuecomment-642102804
@siju-samuel Try to use `network *load_network_custom(char *cfg, char
*weights, int clear, int batch)`
And set `batch=1`.
tqchen commented on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642115243
Previously we use this approach. Personally I was in favor of default to
fp32.
However, one reason for us to convert to the current way is to just make
sure that
tqchen edited a comment on pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#issuecomment-642115243
Previously we use this approach. Personally I was in favor of default to
fp32.
However, one reason for us to convert to the current way is to just make
sure
comaniac commented on a change in pull request #5756:
URL: https://github.com/apache/incubator-tvm/pull/5756#discussion_r438263324
##
File path: python/tvm/relay/expr.py
##
@@ -487,6 +487,8 @@ def const(value, dtype=None):
- bool maps to "bool"
- other using the same
areusch commented on a change in pull request #5655:
URL: https://github.com/apache/incubator-tvm/pull/5655#discussion_r438270610
##
File path: tutorials/micro/micro_tflite.py
##
@@ -0,0 +1,219 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more
mbrookhart commented on a change in pull request #5766:
URL: https://github.com/apache/incubator-tvm/pull/5766#discussion_r438258138
##
File path: tests/python/relay/test_pass_merge_composite.py
##
@@ -953,26 +985,28 @@ def _check_type_false(extract):
return
seanlatias opened a new pull request #5768:
URL: https://github.com/apache/incubator-tvm/pull/5768
With the existing calibration pass, it only returns the module that is built
from the main function. However, the input can have more than one functions
(e.g., after using BYOC). This PR
vinx13 merged pull request #5746:
URL: https://github.com/apache/incubator-tvm/pull/5746
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