Simplify how Optimizers are re-exported in train.ts #7156
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Depends on #7160. The last commit has the relevant changes. |
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`train.ts` exports optimizers by copying them from the `OptimizerConstructors` class onto a `train` object. This is unnecessary because the `OptimizerConstructors` class constructor is a subtype of the `train` object's type (i.e. it has all the properties that `train` has). Instead of creating a new `train` object, this PR re-exports `OptimizerConstructors` as `train`. This has no direct effect now, but if / when re remove the `sideEffects` field from `package.json`, it helps some bundlers (esbuild) do tree-shaking.
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* started resize bicubic * started padding algorithm for bicubic forward pass in cpu backend * started padding algorithm for bicubic forward pass in cpu backend * Mark all calls to 'op()' as pure (tensorflow#7155) Mark calls to the `op()` function that creates the exported op as pure by using [`/* @__PURE__ */` annotations](https://esbuild.github.io/api/#ignore-annotations) (this also works for Rollup, but I can't find the docs). This comment instructs bundlers that the function call has no side-effects, so it can be removed if the result is not used. This is okay for the `op` function because, although it references ENGINE, it does so [in a closure](https://github.com/tensorflow/tfjs/blob/master/tfjs-core/src/ops/operation.ts#L48-L61) that it never calls, so while its return value may cause side effects when called, it itself does not. This has no immediate effect because we still maintain a list of `sideEffects` in the package.json, but it is a step towards removing that list. Co-authored-by: Linchenn <[email protected]> * need to fix padding algo * Update rules_python to 0.16.1 (tensorflow#7160) This update includes new lock files for pypi packages that make sure their versions don't change between builds. These lock files can be generated with the update_locked_deps.sh script. As part of this update, the PR pins flax to 0.6.2. Additionally, python dependencies will only be fetched when a build requires them, so first time javascript-only builds should see a speedup. * Register optimizers in a centralized location (tensorflow#7157) Optimizers are currently registered in the same file they are defined in, which is a side effect. This would make it impossible to tree-shake them in a custom bundle when `sideEffects` is removed from the package.json. This PR moves Optimizer registration to the `register_optimizers.ts` file. The files that the Optimizers are defined in no longer have side effects. To exclude Optimizers from a custom bundle, the `registerOptimizers` function is called from `index.ts`. Custom bundles replace `index.ts` with a different file that does not call this function. * Simplify how Optimizers are re-exported in train.ts (tensorflow#7156) `train.ts` exports optimizers by copying them from the `OptimizerConstructors` class onto a `train` object. This is unnecessary because the `OptimizerConstructors` class constructor is a subtype of the `train` object's type (i.e. it has all the properties that `train` has). Instead of creating a new `train` object, this PR re-exports `OptimizerConstructors` as `train`. This has no direct effect now, but if / when re remove the `sideEffects` field from `package.json`, it helps some bundlers (esbuild) do tree-shaking. * Use static getters to get optimizer class names (tensorflow#7168) Each `Optimizer` lists its class name as a static property of the class so it can be serialized and deserialized. This prevents the class from being tree-shaken because bundlers will compile it like this: ``` class SomeOptimizer { ... } // The bundler can not remove this assignment because // SomeOptimizer.className could be a setter with a side effect. SomeOptimizer.className = 'SomeOptimizer'; ``` This PR uses a static getter for the class name instead, which bundlers can tree-shake properly. * need corners * padding is functional * debugging padding tool for multiple channels Co-authored-by: Matthew Soulanille <[email protected]> Co-authored-by: Linchenn <[email protected]>
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`train.ts` exports optimizers by copying them from the `OptimizerConstructors` class onto a `train` object. This is unnecessary because the `OptimizerConstructors` class constructor is a subtype of the `train` object's type (i.e. it has all the properties that `train` has). Instead of creating a new `train` object, this PR re-exports `OptimizerConstructors` as `train`. This has no direct effect now, but if / when re remove the `sideEffects` field from `package.json`, it helps some bundlers (esbuild) do tree-shaking.
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train.tsexports optimizers by copying them from theOptimizerConstructorsclass onto atrainobject. This is unnecessary because theOptimizerConstructorsclass constructor is a subtype of thetrainobject's type (i.e. it has all the properties thattrainhas). Instead of creating a newtrainobject, this PR re-exportsOptimizerConstructorsastrain.This has no direct effect now, but if / when we remove the
sideEffectsfield frompackage.json, it helps some bundlers (esbuild) do tree-shaking.To see the logs from the Cloud Build CI, please join either our discussion or announcement mailing list.
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