tvm
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Open deep learning compiler stack for cpu, gpu and specialized accelerators
This is a patch for PR https://github.com/apache/tvm/pull/15473 That PR tried to solve the issues described in [RFC](https://discuss.tvm.apache.org/t/improving-dataflow-pattern-matching-for-relay/15344), but introduced another issue, probably unintentionally. The new issue occurs, when there are...
Executing a sequence of Relay transformations iteratively using a custom script results in a segmentation fault (Segmentation fault (core dumped)). This issue seems to be related to the quantity of...
Thanks for participating in the TVM community! We use https://discuss.tvm.ai for any general usage questions and discussions. The issue tracker is used for actionable items such as feature proposals discussion,...
This patch adds the support of `dot4I8Packed(int8x4, int8x4)` as a pure extern method of WebGPU target. In the generated WGSL shader, `int8x4` will be translated into `u32`, and `dot4I8Packed(int8x4, int8x4)`...
[Bug]
Thanks for participating in the TVM community! We use https://discuss.tvm.ai for any general usage questions and discussions. The issue tracker is used for actionable items such as feature proposals discussion,...
I am trying to compile an ONNX (graph below) model using TVM.  Of course, this is a complicated graph, but we can simplify it as below.  These two...
When applying optimization passes in TVM, there is a discrepancy in the results between directly applying opt_a(opt_b(mod)) and using a sequential optimization approach, where seq_ab = tvm.ir.transform.Sequential([opt_a, opt_b]) and seq_ba...
### Expected behavior That the docker can run without issue ### Actual behavior When I try to run the command ./docker/build.sh demo_vitis_ai bash, from the guide I get an error...
Bumps [werkzeug](https://github.com/pallets/werkzeug) from 3.0.1 to 3.0.3. Release notes Sourced from werkzeug's releases. 3.0.3 This is the Werkzeug 3.0.3 security release, which fixes security issues and bugs but does not otherwise...
Bumps [jinja2](https://github.com/pallets/jinja) from 3.1.2 to 3.1.4. Release notes Sourced from jinja2's releases. 3.1.4 This is the Jinja 3.1.4 security release, which fixes security issues and bugs but does not otherwise...