comaniac commented on issue #4468: [RFC] Data-flow Analysis Functionality on
TVM IR
URL: https://github.com/apache/incubator-tvm/issues/4468#issuecomment-562826046
@DKXXXL , thanks for the clarification and it seems fair enough to me :)
Then it seems like #4449, #3895 and this RFC should
comaniac commented on a change in pull request #4465: [AutoTVM] Tune softmax
CUDA schedule
URL: https://github.com/apache/incubator-tvm/pull/4465#discussion_r355106974
##
File path: topi/python/topi/cuda/softmax.py
##
@@ -52,13 +60,22 @@ def schedule_softmax(outs):
DKXXXL commented on issue #4468: [RFC] Data-flow Analysis Functionality on TVM
IR
URL: https://github.com/apache/incubator-tvm/issues/4468#issuecomment-562806258
Hi @comaniac , Thanks for commenting. :)
Yes. This is a real problem happening in the industrial context. The
current s
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tqchen pushed a commit to branch asf-site
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The following commit(s) were added to refs/heads/asf-site by this push:
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new 38b95a2 Add fb
38b95a2 is described
alexgl-github opened a new pull request #4476: Implement 1d deconvolution
URL: https://github.com/apache/incubator-tvm/pull/4476
Thanks for contributing to TVM! Please refer to guideline
https://docs.tvm.ai/contribute/ for useful information and tips. After the pull
request is submitted,
junrushao1994 commented on issue #4471: [topi python API]
'bilinear_sample_nchw' is not supported in deformable_conv2d.py
URL: https://github.com/apache/incubator-tvm/issues/4471#issuecomment-562783833
Could you verify if it works? If so, we may close this issue for now.
--
apivovarov commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r355007762
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186
apivovarov commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r354992237
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186
apivovarov commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r354992237
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186
apivovarov commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r355007762
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186
apivovarov commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r354992237
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186
apivovarov commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r354992237
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186
apivovarov commented on issue #4447: [Relay][Frontend][TFlite] Add parses
support for UNPACK tflite operator
URL: https://github.com/apache/incubator-tvm/pull/4447#issuecomment-562693190
LGTM
@FrozenGene Can you have a look?
--
jwfromm commented on issue #4464: [RFC] Add TVMDSOOp to integrate any TVM
operator with TensorFlow
URL: https://github.com/apache/incubator-tvm/issues/4464#issuecomment-562681167
The motivations of this RFC are extremely similar to those in
[pytorch-tvm](https://github.com/pytorch/tvm), ho
comaniac commented on issue #4468: [RFC] Data-flow Analysis Functionality on
TVM IR
URL: https://github.com/apache/incubator-tvm/issues/4468#issuecomment-562673761
Hey @DKXXXL, thanks for the example!
Just curious. Do you think the case of copy propagation caused dead code
happens in c
tqchen commented on issue #4473: ci.tvm.ai is down
URL: https://github.com/apache/incubator-tvm/issues/4473#issuecomment-562625577
Thanks for reporting Double checked and seems the ci and docs are online
atm. Closing for now, please feel free open new threads
--
tqchen closed issue #4473: ci.tvm.ai is down
URL: https://github.com/apache/incubator-tvm/issues/4473
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DKXXXL commented on issue #4468: [RFC] Data-flow Analysis Functionality on TVM
IR
URL: https://github.com/apache/incubator-tvm/issues/4468#issuecomment-562559678
Hi @junrushao1994 ,
an over-simplified example from the industrial context is the following:
```python
...
B0 = t
anguoyang commented on issue #4262: [RELAY][Bug] 'name_hint' AttributeError
issue when covert tensorflow to TVM
URL: https://github.com/apache/incubator-tvm/issues/4262#issuecomment-562504897
@FinnWeng @Msabih I met the same problem, have you solved it? someone in TVM
forum said that it be
Beya2019 opened a new pull request #4475: onnx frontend support layout choice
depend on hardware target support…
URL: https://github.com/apache/incubator-tvm/pull/4475
…ed layout with NCHW and NHWC
Thanks for contributing to TVM! Please refer to guideline
https://docs.tvm.ai/contr
vinx13 merged pull request #4469: Fix typo in travserse
URL: https://github.com/apache/incubator-tvm/pull/4469
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wuwei pushed a change to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git.
from ba9d96b [relay][op] Add shape func to tile (#4441)
add 7cf1ead Fix typo in travserse (#4469)
No new rev
vinx13 commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r354714737
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186,9 @
vinx13 commented on a change in pull request #4472: Workaround to make
conv2d_transpose compilation for CUDA work
URL: https://github.com/apache/incubator-tvm/pull/4472#discussion_r354714737
##
File path: topi/python/topi/cuda/conv2d_transpose_nchw.py
##
@@ -186,7 +186,9 @
Beya2019 opened a new pull request #4474: onnx frontend support layout choice
depend on hardware target supported layout with NCHW and NHWC
URL: https://github.com/apache/incubator-tvm/pull/4474
This submission adds a feature that onnx frontend support layout choice with
NCHW and NHWC depe
Beya2019 closed pull request #4474: onnx frontend support layout choice depend
on hardware target supported layout with NCHW and NHWC
URL: https://github.com/apache/incubator-tvm/pull/4474
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