[GitHub] [tvm] slyubomirsky edited a comment on pull request #7329: Allow TuplePattern to have null fields and match any tuple

slyubomirsky edited a comment on pull request #7329: URL: https://github.com/apache/tvm/pull/7329#issuecomment-765737215 Q: Can you also have this for function calls? (Matching a call with any number of arguments.) It seems like pretty much the same principle. @jroesch can affirm that I

[GitHub] [tvm] slyubomirsky commented on pull request #7329: Allow TuplePattern to have null fields and match any tuple

slyubomirsky commented on pull request #7329: URL: https://github.com/apache/tvm/pull/7329#issuecomment-765737215 Q: Can you also have this for function calls? (Matching a call with any number of arguments.) This is an

[GitHub] [tvm] comaniac commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

comaniac commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562972265 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,431 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] areusch opened a new pull request #7333: [µTVM] Use standalone_crt build tree for all µTVM builds

areusch opened a new pull request #7333: URL: https://github.com/apache/tvm/pull/7333 Right now due to historical reasons we sometimes build the CRT from build/standalone_crt and other times from src/runtime/crt. This PR consolidates building to always be from `build/standalone_crt` and

[GitHub] [tvm] tmoreau89 commented on pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on pull request #7326: URL: https://github.com/apache/tvm/pull/7326#issuecomment-765742685 Marking the PR as ready to review, thank you for the input so far @leandron @comaniac @merrymercy This is an

[GitHub] [tvm] comaniac commented on pull request #7317: [AutoScheduler] Separate shapes from DAG hash and enable schedule sharing

comaniac commented on pull request #7317: URL: https://github.com/apache/tvm/pull/7317#issuecomment-765793632 > Because this PR breaks compatibility, should we add some warning messages and point users to this PR? How about adding the message to the exsiting schedule not found

[GitHub] [tvm] masahi commented on pull request #7332: [PatternLang] Add a relay LetPattern

masahi commented on pull request #7332: URL: https://github.com/apache/tvm/pull/7332#issuecomment-765798515 I wonder, do we need to match against the let bound variable? Isn't it always `Var`? This is an automated message

[GitHub] [tvm] masahi edited a comment on pull request #7332: [PatternLang] Add a relay LetPattern

masahi edited a comment on pull request #7332: URL: https://github.com/apache/tvm/pull/7332#issuecomment-765798515 I wonder, do we need to match against the let bound variable? Isn't it always `Var`? Not sure if relay Let supports pattern destructing on let lhs, like `let (x, y) = ... in

[GitHub] [tvm] tkonolige opened a new pull request #7330: [FIX] Improve error messages when array/map types do not match in function calls

tkonolige opened a new pull request #7330: URL: https://github.com/apache/tvm/pull/7330 This PR fixes error messages that arise when a runtime array does not have the correct element types for a function. For example: ``` # before Check failed: ObjectTypeChecker::Check(ptr) ==

[GitHub] [tvm] tkonolige closed pull request #7309: [FIX] Add GetFullType to print the type of a container and its contents

tkonolige closed pull request #7309: URL: https://github.com/apache/tvm/pull/7309 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to

[tvm] branch main updated: [AutoScheduler] Fix conv3d's op strategy for auto-scheduler (#7328)

This is an automated email from the ASF dual-hosted git repository. lmzheng pushed a commit to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git The following commit(s) were added to refs/heads/main by this push: new 3ec67f0 [AutoScheduler] Fix conv3d's op strategy for

[GitHub] [tvm] merrymercy merged pull request #7328: [FIX, AutoScheduler] Fix conv3d's op strategy for auto-scheduler

merrymercy merged pull request #7328: URL: https://github.com/apache/tvm/pull/7328 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to

[GitHub] [tvm] merrymercy commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

merrymercy commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562840117 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] mbrookhart opened a new pull request #7332: [PatternLang] Add a relay LetPattern

mbrookhart opened a new pull request #7332: URL: https://github.com/apache/tvm/pull/7332 I found myself needing a Let pattern for some object detection work. Thanks for taking a look! This is an automated message from

[GitHub] [tvm] comaniac commented on a change in pull request #7332: [PatternLang] Add a relay LetPattern

comaniac commented on a change in pull request #7332: URL: https://github.com/apache/tvm/pull/7332#discussion_r562983099 ## File path: python/tvm/relay/dataflow_pattern/__init__.py ## @@ -579,6 +602,27 @@ def __init__(self, cond: "DFPattern", true_branch: "DFPattern",

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562998116 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,431 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562946754 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] mdw-octoml commented on a change in pull request #7331: Update uTVM code to work with the nRF5340DK dev board.

mdw-octoml commented on a change in pull request #7331: URL: https://github.com/apache/tvm/pull/7331#discussion_r562980165 ## File path: python/tvm/micro/contrib/zephyr.py ## @@ -414,6 +417,16 @@ def flash(self, micro_binary): build_dir = os.path.dirname(

[GitHub] [tvm] mdw-octoml commented on pull request #7331: Update uTVM code to work with the nRF5340DK dev board.

mdw-octoml commented on pull request #7331: URL: https://github.com/apache/tvm/pull/7331#issuecomment-765793471 PTAL This is an automated message from the Apache Git Service. To respond to the message, please log on to

[GitHub] [tvm] mbrookhart edited a comment on pull request #7332: [PatternLang] Add a relay LetPattern

mbrookhart edited a comment on pull request #7332: URL: https://github.com/apache/tvm/pull/7332#issuecomment-765811021 @masahi I agree the Expr will always be a var, but I wanted to let users match on more complicated attributes like name/dtype/shape/etc, so I left it a general in pattern

[GitHub] [tvm] FrozenGene commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

FrozenGene commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r563031514 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,431 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] mdw-octoml commented on pull request #7331: Update uTVM code to work with the nRF5340DK dev board.

mdw-octoml commented on pull request #7331: URL: https://github.com/apache/tvm/pull/7331#issuecomment-765759262 @areusch This is an automated message from the Apache Git Service. To respond to the message, please log on to

[GitHub] [tvm] areusch commented on a change in pull request #7331: Update uTVM code to work with the nRF5340DK dev board.

areusch commented on a change in pull request #7331: URL: https://github.com/apache/tvm/pull/7331#discussion_r562976220 ## File path: python/tvm/micro/contrib/zephyr.py ## @@ -414,6 +417,16 @@ def flash(self, micro_binary): build_dir = os.path.dirname(

[GitHub] [tvm] mbrookhart commented on pull request #7329: Allow TuplePattern to have null fields and match any tuple

mbrookhart commented on pull request #7329: URL: https://github.com/apache/tvm/pull/7329#issuecomment-765792061 Hmm, probably, @masahi and i have been talking about cleaner ways to do this for function/call/etc. Let me do some experiments and try to get back to you next week. I'm going to

[GitHub] [tvm] mbrookhart closed pull request #7329: Allow TuplePattern to have null fields and match any tuple

mbrookhart closed pull request #7329: URL: https://github.com/apache/tvm/pull/7329 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to

[GitHub] [tvm] masahi edited a comment on pull request #7332: [PatternLang] Add a relay LetPattern

masahi edited a comment on pull request #7332: URL: https://github.com/apache/tvm/pull/7332#issuecomment-765798515 I wonder, do we need to match against the let bound variable? Isn't it always `Var`? Not sure if relay Let supports pattern destructing on let lhs, like `let (x, y) = ... in

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7331: Update uTVM code to work with the nRF5340DK dev board.

tmoreau89 commented on a change in pull request #7331: URL: https://github.com/apache/tvm/pull/7331#discussion_r563003136 ## File path: python/tvm/target/target.py ## @@ -234,7 +234,10 @@ def micro(model="unknown", options=None): trans_table = { "host": [],

[GitHub] [tvm] mdw-octoml opened a new pull request #7331: Update uTVM code to work with the nRF5340DK dev board.

mdw-octoml opened a new pull request #7331: URL: https://github.com/apache/tvm/pull/7331 This PR makes a few small changes to uTVM and its tests to support the nRF5340 dev board out of the box. This is an automated

[GitHub] [tvm] masahi edited a comment on pull request #7332: [PatternLang] Add a relay LetPattern

masahi edited a comment on pull request #7332: URL: https://github.com/apache/tvm/pull/7332#issuecomment-765798515 I wonder, do we need to match against the let bound variable? Isn't it always `Var`? Not sure if relay Let supports pattern destructing on let lhs, like `let (x, y) = ... in

[tvm] branch ci-docker-staging updated (198f5ed -> 75b565a)

This is an automated email from the ASF dual-hosted git repository. vega pushed a change to branch ci-docker-staging in repository https://gitbox.apache.org/repos/asf/tvm.git. discard 198f5ed turn off test for now discard dad91eb update images discard 04947e1 update jenkins discard

[GitHub] [tvm] merrymercy commented on pull request #7317: [AutoScheduler] Separate shapes from DAG hash and enable schedule sharing

merrymercy commented on pull request #7317: URL: https://github.com/apache/tvm/pull/7317#issuecomment-765780610 Because this PR breaks compatibility, should we add some warning messages and point users to this PR? This is

[GitHub] [tvm] mbrookhart commented on pull request #7332: [PatternLang] Add a relay LetPattern

mbrookhart commented on pull request #7332: URL: https://github.com/apache/tvm/pull/7332#issuecomment-765811021 @masahi I agree the Expr will always be a var, but I wanted to let users match on more complicated attributes like name/style/shape/etc, so I left it a general in pattern

[GitHub] [tvm] SebastianBoblestETAS opened a new pull request #7327: get_top_results works on a copy of output

SebastianBoblestETAS opened a new pull request #7327: URL: https://github.com/apache/tvm/pull/7327 Closes #7322 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub

[GitHub] [tvm] leandron commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

leandron commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562527228 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tqchen closed issue #7322: [BUG] tvmc runner: print_top sorts output causing sorted output to be stored.

tqchen closed issue #7322: URL: https://github.com/apache/tvm/issues/7322 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] tqchen merged pull request #7327: get_top_results works on a copy of output

tqchen merged pull request #7327: URL: https://github.com/apache/tvm/pull/7327 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the

[GitHub] [tvm] tqchen commented on pull request #7327: get_top_results works on a copy of output

tqchen commented on pull request #7327: URL: https://github.com/apache/tvm/pull/7327#issuecomment-765414996 THanks @SebastianBoblestETAS @leandron ! This is an automated message from the Apache Git Service. To respond to the

[tvm] branch main updated: get_top_results works on a copy of output (#7327)

This is an automated email from the ASF dual-hosted git repository. tqchen pushed a commit to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git The following commit(s) were added to refs/heads/main by this push: new 6787d74 get_top_results works on a copy of output

[GitHub] [tvm] ANSHUMAN87 commented on a change in pull request #7308: [FIX] Infer input shape in sparse_dense_padded's alter_op if one does not exist

ANSHUMAN87 commented on a change in pull request #7308: URL: https://github.com/apache/tvm/pull/7308#discussion_r562730799 ## File path: python/tvm/topi/cuda/sparse.py ## @@ -295,7 +295,14 @@ def is_valid_for_sparse_dense_padded(data, weight_data): """ #

[GitHub] [tvm] ANSHUMAN87 commented on a change in pull request #7308: [FIX] Infer input shape in sparse_dense_padded's alter_op if one does not exist

ANSHUMAN87 commented on a change in pull request #7308: URL: https://github.com/apache/tvm/pull/7308#discussion_r562748580 ## File path: python/tvm/topi/cuda/sparse.py ## @@ -295,7 +295,14 @@ def is_valid_for_sparse_dense_padded(data, weight_data): """ #

[GitHub] [tvm] tkonolige commented on a change in pull request #7308: [FIX] Infer input shape in sparse_dense_padded's alter_op if one does not exist

tkonolige commented on a change in pull request #7308: URL: https://github.com/apache/tvm/pull/7308#discussion_r562740167 ## File path: python/tvm/topi/cuda/sparse.py ## @@ -295,7 +295,14 @@ def is_valid_for_sparse_dense_padded(data, weight_data): """ #

[GitHub] [tvm] ANSHUMAN87 commented on a change in pull request #7267: [Frontend][Tensorflow] Sparse dense matmul adjoint option added

ANSHUMAN87 commented on a change in pull request #7267: URL: https://github.com/apache/tvm/pull/7267#discussion_r562744658 ## File path: python/tvm/relay/frontend/tensorflow.py ## @@ -942,7 +942,10 @@ def _impl(inputs, attr, params, mod): ) if sparse_lhs: -

[GitHub] [tvm] tkonolige commented on a change in pull request #7152: [RUNTIME] Improve error messages for TypedPackedFunc

tkonolige commented on a change in pull request #7152: URL: https://github.com/apache/tvm/pull/7152#discussion_r562744494 ## File path: include/tvm/runtime/packed_func.h ## @@ -1377,7 +1449,7 @@ inline TObjectRef TVMPODValue_::AsObjectRef() const { using ContainerType =

[GitHub] [tvm] tkonolige commented on a change in pull request #7152: [RUNTIME] Improve error messages for TypedPackedFunc

tkonolige commented on a change in pull request #7152: URL: https://github.com/apache/tvm/pull/7152#discussion_r562750127 ## File path: include/tvm/runtime/packed_func.h ## @@ -1240,16 +1293,19 @@ struct unpack_call_dispatcher { template struct unpack_call_dispatcher {

[GitHub] [tvm] tkonolige commented on a change in pull request #7152: [RUNTIME] Improve error messages for TypedPackedFunc

tkonolige commented on a change in pull request #7152: URL: https://github.com/apache/tvm/pull/7152#discussion_r562750127 ## File path: include/tvm/runtime/packed_func.h ## @@ -1240,16 +1293,19 @@ struct unpack_call_dispatcher { template struct unpack_call_dispatcher {

[GitHub] [tvm] ANSHUMAN87 commented on a change in pull request #7308: [FIX] Infer input shape in sparse_dense_padded's alter_op if one does not exist

ANSHUMAN87 commented on a change in pull request #7308: URL: https://github.com/apache/tvm/pull/7308#discussion_r562730799 ## File path: python/tvm/topi/cuda/sparse.py ## @@ -295,7 +295,14 @@ def is_valid_for_sparse_dense_padded(data, weight_data): """ #

[GitHub] [tvm] tkonolige commented on a change in pull request #7152: [RUNTIME] Improve error messages for TypedPackedFunc

tkonolige commented on a change in pull request #7152: URL: https://github.com/apache/tvm/pull/7152#discussion_r562750692 ## File path: include/tvm/runtime/packed_func.h ## @@ -229,13 +229,13 @@ class TypedPackedFunc { * \endcode * * \param typed_lambda typed

[GitHub] [tvm] ANSHUMAN87 commented on a change in pull request #7267: [Frontend][Tensorflow] Sparse dense matmul adjoint option added

ANSHUMAN87 commented on a change in pull request #7267: URL: https://github.com/apache/tvm/pull/7267#discussion_r562791091 ## File path: python/tvm/relay/frontend/tensorflow.py ## @@ -942,7 +942,10 @@ def _impl(inputs, attr, params, mod): ) if sparse_lhs: -

[GitHub] [tvm] comaniac commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

comaniac commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562801935 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562814613 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562815223 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562816620 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562816483 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562820343 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tkonolige commented on a change in pull request #7267: [Frontend][Tensorflow] Sparse dense matmul adjoint option added

tkonolige commented on a change in pull request #7267: URL: https://github.com/apache/tvm/pull/7267#discussion_r562824062 ## File path: python/tvm/relay/frontend/tensorflow.py ## @@ -941,9 +934,48 @@ def _impl(inputs, attr, params, mod): (values_tensor, (rows,

[tvm] 01/01: [AutoScheduler] Fix conv3d's op strategy for auto-scheduler

This is an automated email from the ASF dual-hosted git repository. lmzheng pushed a commit to branch merrymercy-patch-1 in repository https://gitbox.apache.org/repos/asf/tvm.git commit 676026a959427d1f05ef7ab44886d5cb98ad2d10 Author: Lianmin Zheng AuthorDate: Fri Jan 22 10:38:13 2021 -0800

[tvm] branch merrymercy-patch-1 created (now 676026a)

This is an automated email from the ASF dual-hosted git repository. lmzheng pushed a change to branch merrymercy-patch-1 in repository https://gitbox.apache.org/repos/asf/tvm.git. at 676026a [AutoScheduler] Fix conv3d's op strategy for auto-scheduler This branch includes the following

[GitHub] [tvm] merrymercy opened a new pull request #7328: [AutoScheduler] Fix conv3d's op strategy for auto-scheduler

merrymercy opened a new pull request #7328: URL: https://github.com/apache/tvm/pull/7328 We do not implement kernel layout rewrite for `topi.nn.conv3d_ncdhw`, so we should not pass `auto_scheduler_layout` to it. This is an

[GitHub] [tvm] tkonolige commented on pull request #7153: [RUNTIME] Add libbacktrace for backtraces with line numbers

tkonolige commented on pull request #7153: URL: https://github.com/apache/tvm/pull/7153#issuecomment-765624123 @tqchen @junrushao1994 @antinucleon @areusch dmlc-core has merged the changes needed for the PR. I've update this PR to inject logging macros into dmlc-core, so we now use our

[GitHub] [tvm] tmoreau89 commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

tmoreau89 commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562815910 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] merrymercy commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

merrymercy commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562840117 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] merrymercy commented on a change in pull request #7326: [Tutorial] Autoscheduler on ARM devices

merrymercy commented on a change in pull request #7326: URL: https://github.com/apache/tvm/pull/7326#discussion_r562840117 ## File path: tutorials/auto_scheduler/tune_network_arm.py ## @@ -0,0 +1,420 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more

[GitHub] [tvm] tkonolige commented on pull request #7308: [FIX] Infer input shape in sparse_dense_padded's alter_op if one does not exist

tkonolige commented on pull request #7308: URL: https://github.com/apache/tvm/pull/7308#issuecomment-765643886 I've added a todo (and put your name on it @icemelon9, hope that's ok). This is an automated message from the

[GitHub] [tvm] mbrookhart opened a new pull request #7329: Allow TuplePattern to have null fields and match any tuple

mbrookhart opened a new pull request #7329: URL: https://github.com/apache/tvm/pull/7329 Fixes issue raised in https://discuss.tvm.apache.org/t/tuplepattern-for-any-number-of-inputs-to-the-tuple/8926 I'm not sure I love the fix, the specialization of paritioning to support ops that

[GitHub] [tvm] masahi commented on a change in pull request #7329: Allow TuplePattern to have null fields and match any tuple

masahi commented on a change in pull request #7329: URL: https://github.com/apache/tvm/pull/7329#discussion_r562913049 ## File path: src/relay/ir/dataflow_matcher.cc ## @@ -400,12 +400,16 @@ bool DFPatternMatcher::VisitDFPattern_(const TupleGetItemPatternNode* op, const bool

[tvm] branch main updated (6787d74 -> af9d1d2)

This is an automated email from the ASF dual-hosted git repository. moreau pushed a change to branch main in repository https://gitbox.apache.org/repos/asf/tvm.git. from 6787d74 get_top_results works on a copy of output (#7327) add af9d1d2 [BYOC][Verilator] add support to dynamically

[GitHub] [tvm] tmoreau89 merged pull request #7286: [BYOC][Verilator] add support to dynamically load hardware library

tmoreau89 merged pull request #7286: URL: https://github.com/apache/tvm/pull/7286 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to