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tensorflow/compiler/mlir/lite/flatbuffer_export.cc
mlir::TFL::NumericVerifyOp op, const std::vector<int32_t>& operands, const std::vector<int32_t>& results) { float tolerance = op.getTolerance().convertToFloat(); bool log_if_failed = op.getLogIfFailed(); auto fbb = std::make_unique<flexbuffers::Builder>(); fbb->Map([&]() { fbb->Float("tolerance", tolerance); fbb->Bool("log_if_failed", log_if_failed); }); fbb->Finish();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (2) -
RELEASE.md
register a dataset with the tf.data service, and another process to consume data from the dataset. * Adds support for dispatcher fault tolerance. To enable fault tolerance, configure a `work_dir` when running your dispatcher server and set `dispatcher_fault_tolerance=True`. The dispatcher will store its state to
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_ApproximateEqualOp : TF_Op<"ApproximateEqual", [Commutative, Pure]> { let summary = "Returns the truth value of abs(x-y) < tolerance element-wise."; let arguments = (ins TF_NumberTensor:$x, TF_NumberTensor:$y, DefaultValuedOptionalAttr<F32Attr, "1e-05f">:$tolerance ); let results = (outs TF_BoolTensor:$z ); TF_DerivedOperandTypeAttr T = TF_DerivedOperandTypeAttr<0>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)