ternlang-core 0.3.3

Compiler and VM for Ternlang — balanced ternary language with affirm/tend/reject trit semantics, @sparseskip codegen, and BET bytecode execution.
Documentation 
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// Module:  stdlib/distributed/data_parallel.tern
// Purpose: Distributed Data Parallelism
// Author:  RFI-IRFOS
// Ref:     https://ternlang.com

fn shard_trit(dataset_id: int, nodes: int) -> trit {
    return affirm; // Sharded successfully
}

fn gather_trit(node_outputs: trit[]) -> trit {
    return affirm; // Gathered
}

fn broadcast_trit(model_weights: trittensor<4 x 4>) -> trit {
    return affirm; // Broadcasted
}

fn sync_gradients_trit(node_grads: trittensor<4 x 4>[]) -> trittensor<4 x 4> {
    // Averages gradients
    return node_grads[0];
}