[GitHub] [incubator-tvm] inadob opened a new pull request #4805: [Frontend][TFlite] Add parser support for relu6, leeaky_relu, relu_n1_to_1, log_softmax

inadob opened a new pull request #4805: [Frontend][TFlite] Add parser support for relu6, leeaky_relu, relu_n1_to_1, log_softmax URL: https://github.com/apache/incubator-tvm/pull/4805 **This patch is made on top of #4789.** * Add helper functions in the parser to quantize and dequantize

[GitHub] [incubator-tvm] wweic commented on a change in pull request #4628: [Object] Add String container

wweic commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r373981359 ## File path: include/tvm/runtime/container.h ## @@ -274,6 +276,137 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] wweic commented on a change in pull request #4628: [Object] Add String container

wweic commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r373976757 ## File path: include/tvm/runtime/container.h ## @@ -274,6 +276,137 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] wweic commented on a change in pull request #4628: [Object] Add String container

wweic commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r373979652 ## File path: include/tvm/runtime/container.h ## @@ -274,6 +276,137 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] FrozenGene commented on a change in pull request #4747: [ThreadPool] Solve ARM BIG.LITTLE heterogeneous multicores

FrozenGene commented on a change in pull request #4747: [ThreadPool] Solve ARM BIG.LITTLE heterogeneous multicores URL: https://github.com/apache/incubator-tvm/pull/4747#discussion_r373962677 ## File path: src/runtime/threading_backend.cc ## @@ -133,34 +133,42 @@ class

[GitHub] [incubator-tvm] FrozenGene commented on a change in pull request #4747: [ThreadPool] Solve ARM BIG.LITTLE heterogeneous multicores

FrozenGene commented on a change in pull request #4747: [ThreadPool] Solve ARM BIG.LITTLE heterogeneous multicores URL: https://github.com/apache/incubator-tvm/pull/4747#discussion_r373962704 ## File path: src/runtime/threading_backend.cc ## @@ -133,34 +133,42 @@ class

[GitHub] [incubator-tvm] inadob opened a new pull request #4807: [Frontend][TFLite] Fix quantized pad value for convolution

inadob opened a new pull request #4807: [Frontend][TFLite] Fix quantized pad value for convolution URL: https://github.com/apache/incubator-tvm/pull/4807 Zero-padding can't be done directly in case the model is quantized, so we have to set pad_value = zero_point

[GitHub] [incubator-tvm] FrozenGene commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support

FrozenGene commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support URL: https://github.com/apache/incubator-tvm/pull/4803#issuecomment-581527290 > I ran into this issue when I used a quantized model with convolution #4807. Is this helpful? Right! This is

[GitHub] [incubator-tvm] FrozenGene commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC

FrozenGene commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC URL: https://github.com/apache/incubator-tvm/pull/4696#discussion_r374205954 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -384,7 +401,16 @@ def

[GitHub] [incubator-tvm] anijain2305 commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support

anijain2305 commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support URL: https://github.com/apache/incubator-tvm/pull/4803#issuecomment-581500134 @FrozenGene I will take a look in few hours (traveling right now). Happy to help.

[GitHub] [incubator-tvm] Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.)

Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.) URL: https://github.com/apache/incubator-tvm/issues/4802#issuecomment-581227116 @tqchen Thanks a lot I removed the GCC from PATH and it detected clang/llvm.

[GitHub] [incubator-tvm] comaniac commented on a change in pull request #4771: [Relay] Added Merge Composite pass

comaniac commented on a change in pull request #4771: [Relay] Added Merge Composite pass URL: https://github.com/apache/incubator-tvm/pull/4771#discussion_r374225876 ## File path: python/tvm/relay/transform.py ## @@ -513,6 +513,49 @@ def

[GitHub] [incubator-tvm] u99127 commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC

u99127 commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC URL: https://github.com/apache/incubator-tvm/pull/4696#discussion_r374233836 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -384,7 +401,16 @@ def

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4797: [AutoTVM] Minor bug fixes in AutoTVM for QNN graphs

anijain2305 commented on a change in pull request #4797: [AutoTVM] Minor bug fixes in AutoTVM for QNN graphs URL: https://github.com/apache/incubator-tvm/pull/4797#discussion_r374311898 ## File path: python/tvm/autotvm/graph_tuner/utils/utils.py ## @@ -73,7 +73,7 @@ def

[GitHub] [incubator-tvm] jwfromm commented on issue #4756: [Docker] Update torch version to 1.4

jwfromm commented on issue #4756: [Docker] Update torch version to 1.4 URL: https://github.com/apache/incubator-tvm/pull/4756#issuecomment-581564923 I don't think I've tried that version combo. If it's working for you then I'd say let's update!

[GitHub] [incubator-tvm] tqchen merged pull request #4806: [TIR] Create a StringImm reference type

tqchen merged pull request #4806: [TIR] Create a StringImm reference type URL: https://github.com/apache/incubator-tvm/pull/4806 This is an automated message from the Apache Git Service. To respond to the message, please log

[GitHub] [incubator-tvm] tqchen commented on issue #4806: [TIR] Create a StringImm reference type

tqchen commented on issue #4806: [TIR] Create a StringImm reference type URL: https://github.com/apache/incubator-tvm/pull/4806#issuecomment-581537448 Thanks @mbarrett97 This is Approved. However, we would recommend to switch to #4628 once it is ready cc @wweic

[incubator-tvm] branch master updated (bb1b7db -> c39ab93)

This is an automated email from the ASF dual-hosted git repository. tqchen pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git. from bb1b7db [ThreadPool] Solve ARM BIG.LITTLE heterogeneous multicores (#4747) add c39ab93 [TIR] Create a

[GitHub] [incubator-tvm] icemelon9 commented on a change in pull request #4628: [Object] Add String container

icemelon9 commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374229865 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] inadob commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support

inadob commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support URL: https://github.com/apache/incubator-tvm/pull/4803#issuecomment-581520870 I ran into this issue when I used a quantized model with convolution #4807. Is this helpful?

[incubator-tvm] branch master updated (c21d1ee -> bb1b7db)

This is an automated email from the ASF dual-hosted git repository. tqchen pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git. from c21d1ee Change color channel from BGR to RGB for darknet preprocessing (#4794) add bb1b7db

[GitHub] [incubator-tvm] tqchen merged pull request #4747: [ThreadPool] Solve ARM BIG.LITTLE heterogeneous multicores

tqchen merged pull request #4747: [ThreadPool] Solve ARM BIG.LITTLE heterogeneous multicores URL: https://github.com/apache/incubator-tvm/pull/4747 This is an automated message from the Apache Git Service. To respond to the

[GitHub] [incubator-tvm] tmoreau89 merged pull request #4791: [TOPI] upsample operator 'NCHWinic' format support.

tmoreau89 merged pull request #4791: [TOPI] upsample operator 'NCHWinic' format support. URL: https://github.com/apache/incubator-tvm/pull/4791 This is an automated message from the Apache Git Service. To respond to the

[GitHub] [incubator-tvm] tmoreau89 commented on issue #4791: [TOPI] upsample operator 'NCHWinic' format support.

tmoreau89 commented on issue #4791: [TOPI] upsample operator 'NCHWinic' format support. URL: https://github.com/apache/incubator-tvm/pull/4791#issuecomment-581581745 Thanks @huajsj @Laurawly @jwfromm the PR has been merged.

[incubator-tvm] branch master updated (c39ab93 -> 974195d)

This is an automated email from the ASF dual-hosted git repository. moreau pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git. from c39ab93 [TIR] Create a StringImm reference type (#4806) add 974195d [TOPI] upsample operator

[GitHub] [incubator-tvm] tqchen commented on issue #4804: [LINT] Fix -Wextra

tqchen commented on issue #4804: [LINT] Fix -Wextra URL: https://github.com/apache/incubator-tvm/pull/4804#issuecomment-581581202 cc @zhiics @ZihengJiang This is an automated message from the Apache Git Service. To respond

[GitHub] [incubator-tvm] mbarrett97 opened a new pull request #4806: [TIR] Create a StringImm reference type

mbarrett97 opened a new pull request #4806: [TIR] Create a StringImm reference type URL: https://github.com/apache/incubator-tvm/pull/4806 This is motivated by the want to send an array of strings across the python/C++ boundary. Arrays only support ObjectRef types and so can't carry

[GitHub] [incubator-tvm] FrozenGene commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support

FrozenGene commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support URL: https://github.com/apache/incubator-tvm/pull/4803#issuecomment-581488095 Initial Investigation: For QNN, before asymmetric padding support, we will handle it in tflite frontend

[GitHub] [incubator-tvm] mbarrett97 commented on issue #4771: [Relay] Added Merge Composite pass

mbarrett97 commented on issue #4771: [Relay] Added Merge Composite pass URL: https://github.com/apache/incubator-tvm/pull/4771#issuecomment-581489473 I've updated the PR to account for the priority ordering of patterns. You no longer specify a pattern map, but a list of tuples

[GitHub] [incubator-tvm] inadob opened a new pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC

inadob opened a new pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC URL: https://github.com/apache/incubator-tvm/pull/4696 * add qnn implementation in the parser * add test case for qnn logistic

[GitHub] [incubator-tvm] FrozenGene commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC

FrozenGene commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC URL: https://github.com/apache/incubator-tvm/pull/4696#discussion_r374193768 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -384,7 +401,16 @@ def

[GitHub] [incubator-tvm] inadob commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC

inadob commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC URL: https://github.com/apache/incubator-tvm/pull/4696#discussion_r374201180 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -384,7 +401,16 @@ def

[GitHub] [incubator-tvm] tqchen commented on issue #4764: [CI] ci-gpu update blockers

tqchen commented on issue #4764: [CI] ci-gpu update blockers URL: https://github.com/apache/incubator-tvm/issues/4764#issuecomment-581628702 OK, seems the conclusion so far is not to use the MKL DNN version. If we confirm that is the case, I we can go ahead and just update the pytorch and

[GitHub] [incubator-tvm] tqchen closed pull request #4753: [Docker] Updating dependency on Mxnet-mkl

tqchen closed pull request #4753: [Docker] Updating dependency on Mxnet-mkl URL: https://github.com/apache/incubator-tvm/pull/4753 This is an automated message from the Apache Git Service. To respond to the message, please

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC

anijain2305 commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC URL: https://github.com/apache/incubator-tvm/pull/4696#discussion_r374334979 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -384,7 +401,16 @@ def

[GitHub] [incubator-tvm] masahi edited a comment on issue #4756: [Docker] Update torch version to 1.4

masahi edited a comment on issue #4756: [Docker] Update torch version to 1.4 URL: https://github.com/apache/incubator-tvm/pull/4756#issuecomment-581640387 @jwfromm I posted what I think is the solution to "onnx segfault problem" at

[GitHub] [incubator-tvm] soichih commented on issue #4061: nvcc fatal : Value 'sm_75' is not defined for option 'gpu-architecture'

soichih commented on issue #4061: nvcc fatal : Value 'sm_75' is not defined for option 'gpu-architecture' URL: https://github.com/apache/incubator-tvm/issues/4061#issuecomment-581649711 I tried tensorflow 1.13.1 and 1.14.0 but I am still seeing this error message. Is this an issue

[GitHub] [incubator-tvm] tom-gall opened a new issue #4808: relay.build fails with NHWC not supported using OpenCL on intel

tom-gall opened a new issue #4808: relay.build fails with NHWC not supported using OpenCL on intel URL: https://github.com/apache/incubator-tvm/issues/4808 Hi! New to TVM yet, so pointers to the fine manual are certainly much appreciated. I'm trying to use OpenCL on intel.

[GitHub] [incubator-tvm] anijain2305 commented on issue #4642: [Relay][Frontend][TFLite] Add parser support for logical operators

anijain2305 commented on issue #4642: [Relay][Frontend][TFLite] Add parser support for logical operators URL: https://github.com/apache/incubator-tvm/pull/4642#issuecomment-581611590 @inadob Can you please rebase? @yzhliu Is conditional check for TFLite version good for now?

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4704: [Relay][Frontend][TFLite] Add parser support for arg_min_max

anijain2305 commented on a change in pull request #4704: [Relay][Frontend][TFLite] Add parser support for arg_min_max URL: https://github.com/apache/incubator-tvm/pull/4704#discussion_r374358802 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -826,6 +828,50 @@ def

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4704: [Relay][Frontend][TFLite] Add parser support for arg_min_max

anijain2305 commented on a change in pull request #4704: [Relay][Frontend][TFLite] Add parser support for arg_min_max URL: https://github.com/apache/incubator-tvm/pull/4704#discussion_r374357079 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -826,6 +828,50 @@ def

[GitHub] [incubator-tvm] masahi commented on issue #4756: [Docker] Update torch version to 1.4

masahi commented on issue #4756: [Docker] Update torch version to 1.4 URL: https://github.com/apache/incubator-tvm/pull/4756#issuecomment-581640387 @jwfromm I posted what I think is the solution to "onnx segfault problem" at https://github.com/onnx/onnx/issues/2394. I encourage you to try

[GitHub] [incubator-tvm] shoubhik commented on issue #4714: Mxnet parser for Qnn dialect

shoubhik commented on issue #4714: Mxnet parser for Qnn dialect URL: https://github.com/apache/incubator-tvm/pull/4714#issuecomment-581672885 @tmoreau89 @yzhliu @tqchen @jackwish @FrozenGene @liangfu @vinx13 @anijain2305 I want to discuss this PR from testability POV. Mxnet suggests to

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC

anijain2305 commented on a change in pull request #4696: [Relay][Frontend][TFlite] Add support for quantized LOGISTIC URL: https://github.com/apache/incubator-tvm/pull/4696#discussion_r374335873 ## File path: tests/python/frontend/tflite/test_forward.py ## @@ -143,11

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4789: [Frontend][TFLite] Dynamically calculate input_stats of any fake_quant range

anijain2305 commented on a change in pull request #4789: [Frontend][TFLite] Dynamically calculate input_stats of any fake_quant range URL: https://github.com/apache/incubator-tvm/pull/4789#discussion_r374350076 ## File path: tests/python/frontend/tflite/test_forward.py ##

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374448684 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374447787 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374450303 ## File path: tests/cpp/container_test.cc ## @@ -226,6 +226,63 @@ TEST(Map, Iterator) {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374450428 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] zhiics merged pull request #4804: [LINT] Fix -Wextra

zhiics merged pull request #4804: [LINT] Fix -Wextra URL: https://github.com/apache/incubator-tvm/pull/4804 This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use

[incubator-tvm] branch master updated (974195d -> 6f7d6fa)

This is an automated email from the ASF dual-hosted git repository. zhic pushed a change to branch master in repository https://gitbox.apache.org/repos/asf/incubator-tvm.git. from 974195d [TOPI] upsample operator 'NCHWinic' format support. (#4791) add 6f7d6fa [LINT] Fix -Wextra

[GitHub] [incubator-tvm] wweic commented on a change in pull request #4628: [Object] Add String container

wweic commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374420184 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4798: [QNN] Optimize lowering for requantize and FixedPointMultiply.

anijain2305 commented on a change in pull request #4798: [QNN] Optimize lowering for requantize and FixedPointMultiply. URL: https://github.com/apache/incubator-tvm/pull/4798#discussion_r374425432 ## File path: src/relay/qnn/op/requantize.cc ## @@ -103,7 +103,11 @@ Expr

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4797: [AutoTVM] Minor bug fixes in AutoTVM for QNN graphs

anijain2305 commented on a change in pull request #4797: [AutoTVM] Minor bug fixes in AutoTVM for QNN graphs URL: https://github.com/apache/incubator-tvm/pull/4797#discussion_r374441091 ## File path: python/tvm/autotvm/graph_tuner/utils/utils.py ## @@ -73,7 +73,7 @@ def

[GitHub] [incubator-tvm] jwfromm commented on issue #4756: [Docker] update onnx to 1.6 and torch to 1.4

jwfromm commented on issue #4756: [Docker] update onnx to 1.6 and torch to 1.4 URL: https://github.com/apache/incubator-tvm/pull/4756#issuecomment-581691232 You're right that importing onnx first resolves the issue. I tried it out with a few different pytorch and onnx version combinations

[GitHub] [incubator-tvm] tqchen commented on issue #4756: [Docker] update onnx to 1.6 and torch to 1.4

tqchen commented on issue #4756: [Docker] update onnx to 1.6 and torch to 1.4 URL: https://github.com/apache/incubator-tvm/pull/4756#issuecomment-581712105 OK, will report back in one to two days This is an automated message

[GitHub] [incubator-tvm] tqchen closed issue #4808: relay.build fails with NHWC not supported using OpenCL on intel

tqchen closed issue #4808: relay.build fails with NHWC not supported using OpenCL on intel URL: https://github.com/apache/incubator-tvm/issues/4808 This is an automated message from the Apache Git Service. To respond to the

[GitHub] [incubator-tvm] tqchen commented on issue #4808: relay.build fails with NHWC not supported using OpenCL on intel

tqchen commented on issue #4808: relay.build fails with NHWC not supported using OpenCL on intel URL: https://github.com/apache/incubator-tvm/issues/4808#issuecomment-581718440 Thannks for reporting the problem, please open a new troubleshooting thread on https://discuss.tvm.ai/

[GitHub] [incubator-tvm] Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.)

Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.) URL: https://github.com/apache/incubator-tvm/issues/4802#issuecomment-581227116 @tqchen Thanks a lot I removed the GCC from PATH and it detected clang/llvm.

[GitHub] [incubator-tvm] Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.)

Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.) URL: https://github.com/apache/incubator-tvm/issues/4802#issuecomment-581227116 @tqchen Thanks a lot I removed the GCC from PATH and it detected clang/llvm.

[GitHub] [incubator-tvm] Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.)

Coderx7 edited a comment on issue #4802: Building tvm using llvm on windows 10 fails (ninja: build stopped: subcommand failed.) URL: https://github.com/apache/incubator-tvm/issues/4802#issuecomment-581227116 @tqchen Thanks a lot I removed the GCC from PATH and it detected clang/llvm.

[GitHub] [incubator-tvm] siju-samuel commented on issue #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added

siju-samuel commented on issue #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added URL: https://github.com/apache/incubator-tvm/pull/4788#issuecomment-581737945 @FrozenGene @u99127 Thanks for the review and could you please review again. I have updated as per your review

[GitHub] [incubator-tvm] siju-samuel commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added

siju-samuel commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added URL: https://github.com/apache/incubator-tvm/pull/4788#discussion_r374469548 ## File path: tests/python/frontend/tflite/test_forward.py ## @@ -244,6 +244,57 @@

[GitHub] [incubator-tvm] Coderx7 removed a comment on issue #754: How to set the llvm-config & cuda path for windows

Coderx7 removed a comment on issue #754: How to set the llvm-config & cuda path for windows URL: https://github.com/apache/incubator-tvm/issues/754#issuecomment-581104886 @prob1995 may I ask, how you compiled LLVM? after downloading the source, what sets of commands did you use?

[GitHub] [incubator-tvm] anijain2305 commented on a change in pull request #4798: [QNN] Optimize lowering for requantize and FixedPointMultiply.

anijain2305 commented on a change in pull request #4798: [QNN] Optimize lowering for requantize and FixedPointMultiply. URL: https://github.com/apache/incubator-tvm/pull/4798#discussion_r374425432 ## File path: src/relay/qnn/op/requantize.cc ## @@ -103,7 +103,11 @@ Expr

[GitHub] [incubator-tvm] masahi commented on a change in pull request #4790: Fast exponent

masahi commented on a change in pull request #4790: Fast exponent URL: https://github.com/apache/incubator-tvm/pull/4790#discussion_r374431619 ## File path: topi/include/topi/elemwise.h ## @@ -360,5 +359,66 @@ inline Tensor full_like(const Tensor& x, }, name, tag); }

[GitHub] [incubator-tvm] masahi commented on issue #4756: [Docker] update onnx to 1.6 and torch to 1.4

masahi commented on issue #4756: [Docker] update onnx to 1.6 and torch to 1.4 URL: https://github.com/apache/incubator-tvm/pull/4756#issuecomment-581697770 @tqchen we are ready to upgrade! This is an automated message from

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374449514 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374448205 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374448894 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374448310 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374448029 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374447406 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374450097 ## File path: tests/cpp/container_test.cc ## @@ -226,6 +226,63 @@ TEST(Map, Iterator) {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374448735 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374449717 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374449910 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374447314 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen commented on a change in pull request #4628: [Object] Add String container

tqchen commented on a change in pull request #4628: [Object] Add String container URL: https://github.com/apache/incubator-tvm/pull/4628#discussion_r374448792 ## File path: include/tvm/runtime/container.h ## @@ -274,7 +276,181 @@ class ADT : public ObjectRef {

[GitHub] [incubator-tvm] tqchen opened a new pull request #4809: [DOCS] Fix vta tutorial

tqchen opened a new pull request #4809: [DOCS] Fix vta tutorial URL: https://github.com/apache/incubator-tvm/pull/4809 cc @tmoreau89 This is an automated message from the Apache Git Service. To respond to the message, please

[GitHub] [incubator-tvm] anijain2305 commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support

anijain2305 commented on issue #4803: [WIP][Frontend] Asymmetric padding of convolution support URL: https://github.com/apache/incubator-tvm/pull/4803#issuecomment-581764770 So, if I understand correctly there are 2 issues here * If you try to pass the asymmetric padding via QNN

[GitHub] [incubator-tvm] u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added

u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added URL: https://github.com/apache/incubator-tvm/pull/4788#discussion_r374497747 ## File path: tests/python/frontend/tflite/test_forward.py ## @@ -244,6 +244,74 @@ def

[GitHub] [incubator-tvm] u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added

u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added URL: https://github.com/apache/incubator-tvm/pull/4788#discussion_r374498740 ## File path: tests/python/frontend/tflite/test_forward.py ## @@ -244,6 +244,74 @@ def

[GitHub] [incubator-tvm] u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added

u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added URL: https://github.com/apache/incubator-tvm/pull/4788#discussion_r374499522 ## File path: tests/python/frontend/tflite/test_forward.py ## @@ -244,6 +244,74 @@ def

[GitHub] [incubator-tvm] anijain2305 commented on issue #4714: Mxnet parser for Qnn dialect

anijain2305 commented on issue #4714: Mxnet parser for Qnn dialect URL: https://github.com/apache/incubator-tvm/pull/4714#issuecomment-581769804 Given the constraints, I am ok with MxNet-parser code w/o any MxNet-MKLDNN CI testing, as long as we have a test script linked in the PR, that

[GitHub] [incubator-tvm] u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added

u99127 commented on a change in pull request #4788: [FRONTEND][TFLITE]Gather, StridedSlice op support added URL: https://github.com/apache/incubator-tvm/pull/4788#discussion_r374500086 ## File path: python/tvm/relay/frontend/tflite.py ## @@ -792,6 +794,147 @@ def

[GitHub] [incubator-tvm] anijain2305 commented on issue #4807: [Frontend][TFLite] Fix quantized pad value for convolution

anijain2305 commented on issue #4807: [Frontend][TFLite] Fix quantized pad value for convolution URL: https://github.com/apache/incubator-tvm/pull/4807#issuecomment-581766259 Excellent find! I missed this somehow. I think the current test case failure might be because we give random