openvinotoolkit / openvino

OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
https://docs.openvino.ai
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[Good First Issue][JAX FE]: Support jax.lax.gather operation for JAX #26575

Open rkazants opened 1 month ago

rkazants commented 1 month ago

Context

OpenVINO component responsible for support of JAX/Flax models is called as JAX Frontend (JAX FE). JAX FE converts a JAX/Flax model represented by ClosedJAXpr graph object with operations from jax.lax opset to OpenVINO IR containing operations from OpenVINO opset.

In order to infer JAX/Flax models containing jax.lax.gather operation by OpenVINO, JAX FE needs to be extended with this operation support.

What needs to be done?

For jax.lax.gather operation support, you need to implement the corresponding loader into JAX FE op directory and to register it into the dictionary of Loaders. One loader is responsible for conversion (or decomposition) of one type of JAX operation.

Here is an example of loader implementation for jax.lax.reshape operation:

OutputVector translate_reshape(const NodeContext& context) {
    num_inputs_check(context, 1, 1);
    Output<Node> input = context.get_input(0);
    auto new_sizes = context.const_named_param<std::vector<int64_t>>("new_sizes");
    if (context.has_param("dimensions")) {
        auto dimensions = context.const_named_param<std::vector<int64_t>>("dimensions");
        // transpose the input first.
        auto permutation_node = std::make_shared<v0::Constant>(element::i64, Shape{dimensions.size()}, dimensions);
        input = std::make_shared<v1::Transpose>(input, permutation_node);
    }

    auto new_shape_node = std::make_shared<v0::Constant>(element::i64, Shape{new_sizes.size()}, new_sizes);
    Output<Node> res = std::make_shared<v1::Reshape>(input, new_shape_node, false);
    return {res};
};

In this example, translate_reshape expresses jax.lax.reshape using OpenVINO opset. Since jax.lax.reshape performs transposition and tensor reshaping according to JAX documentation, the resulted decomposition contains OpenVINO Transpose and Reshape operations. For Transpose and Reshape nodes, this conversion parses constant parameters dimensions to permute input tensor and new_size that is the target shape of the result.

Once you are done with implementation of the translator, you need to implement the corresponding layer tests test_gather.py and put it into layer_tests/jax_tests directory. Example how to run some layer test:

export TEST_DEVICE=CPU
export JAX_TRACE_MODE=JAXPR
export 
cd openvino/tests/layer_tests/jax_tests
pytest test_reshape.py

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NilayPatel10721 commented 1 month ago

hi @rkazants I would like to take up this issue

mlukasze commented 1 month ago

The task is yours @NilayPatel10721, have fun :)