- 16 Mar, 2020 1 commit
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Samuel committed
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- 08 Mar, 2020 1 commit
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* [FRONTEND][TENSORFLOW] support multiply outputs * [TENSORFLOW][TEST] add tf_testing.AddShapesToGraphDef test * update frontend test * retrigger CI
zhengdi committed
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- 09 Feb, 2020 1 commit
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Tianqi Chen committed
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- 28 Dec, 2019 1 commit
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zhuochen committed
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- 12 Nov, 2019 1 commit
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* WIP Run the TF tutorial on TF2 * Remove debugger statement. * Complete the support for TF2.0's `resize`. TF2.0 adds a `half_pixel_centers` attribute to the `resize` function in the image API. This commit completes the hooks in Relay's TF frontend. At the point of this commit, no new test yet. Also, this commit addresses solely the `resize` change. Other commits address other changes in TF2.0. * Support TF2.0 in the tutorial by using the compat API. This looks cleaner than trying to detect the TF version. * Use the TF compat API, so as to support TF2.0. This is a direct change, relying on the compat API provided by the TF team. This code will last as long as the compat API exists, so a "proper" support for TF1.x and 2.x will require more work in some future. * Partial support for EXPLICIT padding introduced in TF2.0. Explicit padding is a special case in TF2.0 (see reference linked below). Some models are serialized with that mode, and break TF support in TVM. Support is *partial* as EXPLICIT falls back to set padding on the Relay op, which only supports 2 values. At some point, padding may need to be extended to support 4 values, but that is out of scope of this support commit. Reference on EXPLICIT padding: https://github.com/tensorflow/tensorflow/commit/ec81825aaf7e848d9f8ddffdf1e0d20aebe9172c#diff-1d1c0bb0a880f85b6164f71dbb2f446e * Guard on checking for optional TF2.0 attribute. * Do not expect Relay to implement TF-specific attributes. The `half_pixel_centers` attribute is a new feature in TF2.0. Earlier commits of mine mistakenly introduce them in the Relay API. This is probably not what Relay is expected to support, and the semantics of `half_pixel_centers` is unclear (to me, at least) at this point. * Remove unclear comment. CR https://github.com/dmlc/tvm/pull/4104#discussion_r338705742 Addresses #4104 * Changes after review. Complying without understanding the rationale for now. * Fix the arguments set mistakenly. An argument ignored for the wrong operation.
Eric Platon committed
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- 14 Jun, 2019 1 commit
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Alexander Pivovarov committed
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- 08 Apr, 2019 1 commit
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* [HEADER] ASF header dir=include * [HEADER] ASF Header dir=src * [HEADER] ASF Header -dir=python * [HEADER] ASF header dir=topi * [HEADER] ASF Header dir=nnvm * [HEADER] ASF Header -dir=tutorials * [HEADER] ASF Header dir=tests * [HEADER] ASF Header -dir=docker * fix whitespace * [HEADER] ASF Header -dir=jvm * [HEADER] ASF Header -dir=web * [HEADER] ASF Header --dir=apps * [HEADER] ASF Header --dir=vta * [HEADER] ASF Header -dir=go * temp * [HEADER] ASF Header --dir=rust * [HEADER] Add ASF Header --dir=cmake * [HEADER] ASF Header --dir=docs * [HEADER] Header for Jenkinsfile * [HEADER] ASF Header to toml and md * [HEADER] ASF Header to gradle * Finalize rat cleanup * Fix permission * Fix java test * temporary remove nnvm onnx test
Tianqi Chen committed
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- 30 Mar, 2019 1 commit
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Haichen Shen committed
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- 29 Mar, 2019 1 commit
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Haichen Shen committed
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- 05 Feb, 2019 1 commit
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* [RELAY][FRONTEND] Tensorflow frontend support. * * LSTM removed for a while. * * basic ops are good. * * nn wip * * wip * * python2.7 corrections. * * NN ops are good. * * e2e models working good * * all good except LSTM * * rebase, tutorials and CI trigger. * * CI errors. * * enable opt_level=3 * * Docstrings cleanup. testing.tf utils moved to relay from nnvm. * * tutorials update. * * LSTM work good now. * * Rebase * * CI error * * enable PTB. * * rebase. * * tutorials * Update python/tvm/relay/frontend/tensorflow.py Co-Authored-By: srkreddy1238 <sivar.b@huawei.com> * * review comments. * CI fix. * * review comments.
Siva committed
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- 01 Nov, 2018 1 commit
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* [FRONTEND][TENSORFLOW] Enhancements. * Generalize the shape with explicite argument. * Supported entire range of mobilenet_v2 models. * Cast op updated to latest tensorflow. * Documentation updates. * CheckNumerics op handling without exception. * Test data from tensorflow official releases. * * CI error. * * self review * * Enhanced reshape handling. * * docs. * * tutorials * * review comments. * * review.
Siva committed
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- 20 Sep, 2018 1 commit
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Lianmin Zheng committed
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- 14 Sep, 2018 1 commit
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[FRONTEND][TENSORFLOW] Helper function to add shapes into the graph. Use tmp folder for model files and clean it. (#1697)
Siva committed
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- 25 Jul, 2018 1 commit
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Albin Joy committed
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- 18 Jul, 2018 1 commit
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Siva committed
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- 26 Jun, 2018 1 commit
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Siva committed
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- 13 Jun, 2018 1 commit
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Siva committed
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