- 21 Sep, 2023 1 commit
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Paul authored
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- 20 Sep, 2023 27 commits
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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Umang Yadav authored
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- 19 Sep, 2023 3 commits
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shivadbhavsar authored
This resolves an edge case found in multiple huggingface models in some cases the find_split_reshape matcher will match with reshape2, but vec_rsp will consist of reshape1 dims causing a shape mismatch error. Solution is to include rsp when checking all reshapes are the same.
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Paul authored
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Paul authored
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- 16 Sep, 2023 4 commits
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Paul Fultz II authored
let the user know which targets migraphx was built for and how to build migraphx for their gpu.
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Charlie Lin authored
Implements a fill operator that sets the values in an output buffer to a given value Will be used when parsing ONNX ConstantOfShape Can also be used when a buffer needs to be filled with a value that is determined at runtime
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ravil-mobile authored
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Paul Fultz II authored
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- 15 Sep, 2023 2 commits
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Umang Yadav authored
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Paul Fultz II authored
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- 14 Sep, 2023 3 commits
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Umang Yadav authored
MIOpen fusions are not serialized with tuned solutions. Print warnings for such cases.
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Paul Fultz II authored
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Brian Pickrell authored
New op that populates a shape with random numbers with a uniform distribution. The rand_uniform op. can implement the Onnx RandomUniform instruction, and can also create the random number sequence necessary to implement Multinomial. (At this time, our Onnx Multinomial parsing generates a random sequence of numbers when parsing as a workaround, so that the resulting program uses the same "random" set every time.) Arguments: shape, seed. Shape is required; can be static or dynamic. Seed is still optional in this version. If it's not given at inference time, use the value in the creation attribute seed. Update: deleted A boolean use_auto_seed causes any given seed to be ignored.
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