Add op definition and bridge implementation for TensorStridedSliceUpdate.
PiperOrigin-RevId: 329118405 Change-Id: Ib8ca243f37d2728efb327d4ef52c7b2a53790c3e
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@ -2048,6 +2048,7 @@ absl::flat_hash_set<string> GetKnownXLAAllowlistOp() {
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"TensorScatterAdd",
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"TensorScatterAdd",
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"TensorScatterSub",
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"TensorScatterSub",
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"TensorScatterUpdate",
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"TensorScatterUpdate",
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"TensorStridedSliceUpdate",
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"TridiagonalSolve",
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"TridiagonalSolve",
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"TruncatedNormal",
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"TruncatedNormal",
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"UpperBound",
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"UpperBound",
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@ -11651,6 +11651,40 @@ On GPU, if an out of bound index is found, the index is ignored.
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];
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];
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}
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}
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def TF_TensorStridedSliceUpdateOp : TF_Op<"TensorStridedSliceUpdate", [NoSideEffect]> {
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let summary = "Assign `value` to the sliced l-value reference of `input`.";
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let description = [{
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The values of `value` are assigned to the positions in the tensor `input` that
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are selected by the slice parameters. The slice parameters `begin` `end`
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`strides` etc. work exactly as in `StridedSlice`.
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NOTE this op currently does not support broadcasting and so `value`'s shape
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must be exactly the shape produced by the slice of `input`.
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}];
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let arguments = (ins
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TF_Tensor:$input,
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TF_I32OrI64Tensor:$begin,
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TF_I32OrI64Tensor:$end,
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TF_I32OrI64Tensor:$strides,
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TF_Tensor:$value,
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DefaultValuedAttr<I64Attr, "0">:$begin_mask,
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DefaultValuedAttr<I64Attr, "0">:$end_mask,
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DefaultValuedAttr<I64Attr, "0">:$ellipsis_mask,
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DefaultValuedAttr<I64Attr, "0">:$new_axis_mask,
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DefaultValuedAttr<I64Attr, "0">:$shrink_axis_mask
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);
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let results = (outs
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TF_Tensor:$output
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);
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TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
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TF_DerivedOperandTypeAttr Index = TF_DerivedOperandTypeAttr<1>;
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}
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def TF_TileOp : TF_Op<"Tile", [NoSideEffect]> {
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def TF_TileOp : TF_Op<"Tile", [NoSideEffect]> {
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let summary = "Constructs a tensor by tiling a given tensor.";
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let summary = "Constructs a tensor by tiling a given tensor.";
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@ -446,7 +446,12 @@ class StridedSliceAssignOp : public XlaOpKernel {
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TensorShape lhs_shape;
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TensorShape lhs_shape;
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xla::XlaOp lhs;
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xla::XlaOp lhs;
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OP_REQUIRES_OK(ctx, ctx->ReadVariableInput(0, dtype_, &lhs_shape, &lhs));
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if (ctx->input_type(0) == DT_RESOURCE) {
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OP_REQUIRES_OK(ctx, ctx->ReadVariableInput(0, dtype_, &lhs_shape, &lhs));
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} else {
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lhs_shape = ctx->InputShape(0);
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lhs = ctx->Input(0);
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}
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const TensorShape rhs_shape = ctx->InputShape(4);
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const TensorShape rhs_shape = ctx->InputShape(4);
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@ -504,7 +509,11 @@ class StridedSliceAssignOp : public XlaOpKernel {
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lhs = xla::DynamicUpdateSlice(lhs, rhs, slice_begin);
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lhs = xla::DynamicUpdateSlice(lhs, rhs, slice_begin);
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OP_REQUIRES_OK(ctx, ctx->AssignVariable(0, dtype_, lhs));
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if (ctx->input_type(0) == DT_RESOURCE) {
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OP_REQUIRES_OK(ctx, ctx->AssignVariable(0, dtype_, lhs));
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} else {
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ctx->SetOutput(0, lhs);
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}
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}
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}
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private:
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private:
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@ -520,5 +529,11 @@ REGISTER_XLA_OP(Name("ResourceStridedSliceAssign")
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.CompileTimeConstantInput("strides"),
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.CompileTimeConstantInput("strides"),
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StridedSliceAssignOp);
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StridedSliceAssignOp);
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REGISTER_XLA_OP(Name("TensorStridedSliceUpdate")
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.CompileTimeConstantInput("begin")
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.CompileTimeConstantInput("end")
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.CompileTimeConstantInput("strides"),
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StridedSliceAssignOp);
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} // namespace
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} // namespace
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} // namespace tensorflow
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} // namespace tensorflow
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