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Results 11 - 13 of 13 for _XlaCompile (0.14 sec)

  1. tensorflow/compiler/jit/xla_platform_info.cc

        // operations).  Such a cluster can fail compilation (in way that
        // MarkForCompilation could not have detected) if the CPU JIT is not
        // linked in.
        //
        // So bail out of _XlaCompile in this case, and let the executor handle
        // the situation for us.
        const Status& status = compiler_for_platform.status();
        if (status.code() == error::NOT_FOUND) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 17:23:27 UTC 2024
    - 17.4K bytes
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  2. tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc

      effects.emplace_back(MemoryEffects::Write::get(),
                           ResourceEffects::_XlaRun::get());
    
      // Conservatively mark resource handles as read and write, as without
      // analyzing _XlaCompile, there is not sufficient information to determine
      // effects on resources.
      for (Value value : getArgs()) {
        MarkResourceAsReadAndWrite(value, effects);
      }
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 09 22:07:10 UTC 2024
    - 170.8K bytes
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  3. tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td

    node and associated metadata.}]>:$key,
        Res<TF_BoolTensor, [{If the `must_compile` attr is false the _XlaCompile op
    can decide not to compile the clusters based on some profitability
    heuristics.  In that case `compilation_successful` is false if _XlaCompile
    chose not to compile the cluster.  If the `must_compile` attr is true then
    _XlaCompile always attempts to compile the cluster and
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 23:24:08 UTC 2024
    - 793K bytes
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