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Create _HostComputeMlir for use in TF MLIR. 

PiperOrigin-RevId: 311792286
Change-Id: I6ec57f9b23c17dd52e756ead4ddfad58ecdb2f76
This commit is contained in:
Ken Franko 2020-05-15 13:34:26 -07:00 committed by TensorFlower Gardener
parent dc1c299833
commit 31583920dc
1 changed files with 21 additions and 0 deletions
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21
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
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@ -10586,6 +10586,27 @@ def TF_ZerosLikeOp : TF_Op<"ZerosLike", [NoSideEffect, SameOperandsAndResultType
TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>; TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
} }
def TF__HostComputeMlirOp : TF_Op<"_HostComputeMlir", []> {
let summary = "A host-side computation called from a TPU device.";
let description = [{
}];
let arguments = (ins
Variadic<TF_Tensor>:$inputs,
StrAttr:$key,
DefaultValuedAttr<I64Attr, "0">:$tpu_core
);
let results = (outs
Variadic<TF_Tensor>:$outputs
);
TF_DerivedOperandTypeListAttr Tinputs = TF_DerivedOperandTypeListAttr<0>;
TF_DerivedResultTypeListAttr Toutputs = TF_DerivedResultTypeListAttr<0>;
}
def TF__RecvTPUEmbeddingActivationsOp : TF_Op<"_RecvTPUEmbeddingActivations", []> { def TF__RecvTPUEmbeddingActivationsOp : TF_Op<"_RecvTPUEmbeddingActivations", []> {
let summary = "An op that receives embeddng activations on the TPU."; let summary = "An op that receives embeddng activations on the TPU.";