echuraev commented on code in PR #15786:
URL: https://github.com/apache/tvm/pull/15786#discussion_r1354130883
##
python/tvm/relay/op/strategy/adreno.py:
##
@@ -215,6 +215,58 @@ def
conv2d_winograd_without_weight_transform_strategy_adreno(attrs, inputs, out_
return strategy
echuraev commented on code in PR #15058:
URL: https://github.com/apache/tvm/pull/15058#discussion_r1354122827
##
src/runtime/memory/memory_manager.cc:
##
@@ -128,6 +128,7 @@ Allocator* MemoryManager::GetOrCreateAllocator(Device dev,
AllocatorType type) {
// Look for any av
echuraev commented on code in PR #15058:
URL: https://github.com/apache/tvm/pull/15058#discussion_r1354122128
##
apps/android_deploy/app/src/main/jni/tvm_runtime.h:
##
@@ -49,6 +49,5 @@
#include "../src/runtime/opencl/opencl_device_api.cc"
#include "../src/runtime/opencl/openc
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github-bot pushed a change to branch nightly
in repository https://gitbox.apache.org/repos/asf/tvm.git
from 899435956a [Relay][Bugfix] fix axis parsing of repeat converter in the
MXNet frontend (#15891)
add a79f632333
tlopex commented on PR #15821:
URL: https://github.com/apache/tvm/pull/15821#issuecomment-1756797590
cc @leandron @lhutton1
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syfeng pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new 67d61935df [Unity] [Bugfix] Fix MaxPool TypeError in
Hzfengsy merged PR #15908:
URL: https://github.com/apache/tvm/pull/15908
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Thrsu commented on PR #15908:
URL: https://github.com/apache/tvm/pull/15908#issuecomment-1756650178
Please review and consider merging this PR. Thank you!
cc @Hzfengsy @leandron
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vinx13 opened a new pull request, #15913:
URL: https://github.com/apache/tvm/pull/15913
This PR updated the offset factor of cuda tensor intrinsic. Now the offset
factor is always the leading dimension of the fragment size and fixed some
failing test cases previous not caught by CI as they
yongwww opened a new pull request, #15912:
URL: https://github.com/apache/tvm/pull/15912
This change is from the unity, the kv cache will need it.
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TH3CHARLie opened a new issue, #15911:
URL: https://github.com/apache/tvm/issues/15911
### Expected behavior
program scheduled with `reverse_compute_at` should generate the same answer.
### Actual behavior
wrong result, seems like some part of array is not computed
###
MasterJH5574 opened a new pull request, #15910:
URL: https://github.com/apache/tvm/pull/15910
This PR introduces the PagedKVCache object to `lm_support.cc` for the KV
cache value management in batching settings.
One test file is included. Note that this file does not contain the test
srkreddy1238 commented on PR #15786:
URL: https://github.com/apache/tvm/pull/15786#issuecomment-1755917006
Over all LGTM. Few comments above.
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srkreddy1238 commented on code in PR #15786:
URL: https://github.com/apache/tvm/pull/15786#discussion_r1353039853
##
tests/python/relay/opencl_texture/test_conv2d_transpose_nchw_texture.py:
##
@@ -0,0 +1,119 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or
srkreddy1238 commented on code in PR #15786:
URL: https://github.com/apache/tvm/pull/15786#discussion_r1353034383
##
tests/python/relay/opencl_texture/test_conv2d_transpose_nchw_texture.py:
##
@@ -0,0 +1,119 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or
krishnaraj36 commented on PR #15786:
URL: https://github.com/apache/tvm/pull/15786#issuecomment-1755879197
@srkreddy1238 : Please review
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kparzysz-quic commented on PR #104:
URL: https://github.com/apache/tvm-rfcs/pull/104#issuecomment-1755730601
> Is there any technical reason blocking us from extending DLDataType to
have a `is_scalable` vector field, allowing us to maintain the meaning of the
lanes field to represent the nu
Aleksei-grovety commented on code in PR #15844:
URL: https://github.com/apache/tvm/pull/15844#discussion_r1352800533
##
tests/python/frontend/tflite/test_forward.py:
##
@@ -2480,6 +2481,16 @@ def __test_elemwise(in_data):
inq0_min, inq0_max = (out_min, out_max)
kparzysz-quic commented on PR #15909:
URL: https://github.com/apache/tvm/pull/15909#issuecomment-1755694020
This is a replacement PR for https://github.com/apache/tvm/pull/15909.
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neildhickey commented on PR #104:
URL: https://github.com/apache/tvm-rfcs/pull/104#issuecomment-1755692891
> Another idea to handle this would be to add a new field to DLDataType,
e.g. bool is_scalable, but I'm not sure how feasible changing that standard is.
I feel extending DLDataTy
Thrsu closed issue #15892: [Bug] [Unity] TypeError when converting TorchFX
layer_norm model to TVM using from_fx
URL: https://github.com/apache/tvm/issues/15892
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kparzysz-quic closed pull request #15872: [TIR] Autocorrect Range min and
extent types when possible
URL: https://github.com/apache/tvm/pull/15872
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kparzysz-quic commented on PR #15872:
URL: https://github.com/apache/tvm/pull/15872#issuecomment-1755669269
This cannot be done correctly in `Range` alone. This is because there are
cases like `Bind(var, Range(a, b))`. If `a` and `b` are both immediates of
different types, then there is n
p3achyjr commented on PR #15844:
URL: https://github.com/apache/tvm/pull/15844#issuecomment-1755646894
@Lunderberg thanks for getting back!!
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lunderberg 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 eb2a4bc8e2 [TFLite][Frontend] Fix test failures cau
Lunderberg merged PR #15844:
URL: https://github.com/apache/tvm/pull/15844
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Lunderberg commented on PR #15844:
URL: https://github.com/apache/tvm/pull/15844#issuecomment-1755560175
@p3achyjr Thank you for the reminder, and it would still be good to get this
PR in, even if re-enabling the flaky `floor_mod` test is saved for a follow-up
PR.
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kparzysz-quic commented on PR #104:
URL: https://github.com/apache/tvm-rfcs/pull/104#issuecomment-1755456586
I guess we could pass an argument to the vectorizer whether to generate
SVE-friendly code. If this is limited to emitting additional TIR builtins,
then I'm ok with that. I just wan
Thrsu opened a new pull request, #15908:
URL: https://github.com/apache/tvm/pull/15908
As the ONNX documentation description
[here](https://onnx.ai/onnx/operators/onnx__MaxPool.html)
The parameter strides in MaxPool2d is an optional attribute using [1, 1] as
default.
This PR fixed
srkreddy1238 commented on code in PR #15058:
URL: https://github.com/apache/tvm/pull/15058#discussion_r1352506642
##
src/runtime/opencl/opencl_device_api.cc:
##
@@ -224,8 +241,57 @@ void*
OpenCLWorkspace::CreateHostPtrIfEnabled(cl::BufferDescriptor* desc, Device
void* OpenCLWo
srkreddy1238 commented on code in PR #15058:
URL: https://github.com/apache/tvm/pull/15058#discussion_r1352416290
##
src/runtime/opencl/opencl_device_api.cc:
##
@@ -269,36 +430,32 @@ void OpenCLWorkspace::FreeDataSpace(Device dev, void*
ptr) {
OPENCL_CALL(clFinish(this->GetQ
srkreddy1238 commented on code in PR #15058:
URL: https://github.com/apache/tvm/pull/15058#discussion_r1352403642
##
apps/android_deploy/app/src/main/jni/tvm_runtime.h:
##
@@ -49,6 +49,5 @@
#include "../src/runtime/opencl/opencl_device_api.cc"
#include "../src/runtime/opencl/o
srkreddy1238 commented on code in PR #15058:
URL: https://github.com/apache/tvm/pull/15058#discussion_r1352374602
##
src/runtime/memory/memory_manager.cc:
##
@@ -128,6 +128,7 @@ Allocator* MemoryManager::GetOrCreateAllocator(Device dev,
AllocatorType type) {
// Look for an
ntcmp2u opened a new issue, #15907:
URL: https://github.com/apache/tvm/issues/15907
I use TVM to optimize an ONNX model but the output of the optmized model is
inconsistent.
The poc code as the follow:
```python
import tvm
import onnx
from tvm import relay
import n
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syfeng pushed a commit to branch unity
in repository https://gitbox.apache.org/repos/asf/tvm.git
The following commit(s) were added to refs/heads/unity by this push:
new b1380059f0 [Unity] [Bugfix] Fix TypeError in TVM PyTo
Hzfengsy merged PR #15902:
URL: https://github.com/apache/tvm/pull/15902
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jikechao closed issue #15890: [Bug] [Relay][MXNet] wrong conversion logic in
Repeat operator about axis
URL: https://github.com/apache/tvm/issues/15890
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jikechao commented on issue #15890:
URL: https://github.com/apache/tvm/issues/15890#issuecomment-1754916457
This bug has been fixed by #15891
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jikechao commented on issue #15890:
URL: https://github.com/apache/tvm/issues/15890#issuecomment-1754913364
This bug has been fixed by #15891
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jikechao commented on PR #15902:
URL: https://github.com/apache/tvm/pull/15902#issuecomment-1754903214
@Hzfengsy @echuraev @vvchernov. Could you help me review it again?
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echuraev commented on code in PR #15058:
URL: https://github.com/apache/tvm/pull/15058#discussion_r1349867420
##
apps/android_deploy/app/src/main/jni/tvm_runtime.h:
##
@@ -49,6 +49,5 @@
#include "../src/runtime/opencl/opencl_device_api.cc"
#include "../src/runtime/opencl/openc
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srk 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 a79f632333 [CI][ADRENO] Few updates to Adreno docker setup
srkreddy1238 merged PR #15897:
URL: https://github.com/apache/tvm/pull/15897
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