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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
}]; let description = [{ That is for rows we have grad for, we update var, accum and linear as follows: accum_new = accum + grad * grad linear += grad - (accum_new^(-lr_power) - accum^(-lr_power)) / lr * var quadratic = 1.0 / (accum_new^(lr_power) * lr) + 2 * l2 var = (sign(linear) * l1 - linear) / quadratic if |linear| > l1 else 0.0 accum = accum_new }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Sat Feb 10 11:25:47 UTC 2024 - 854.1K bytes - Viewed (0) -
RELEASE.md
It significantly reduces the peak memory required and latency incurred during restore. * Added a new library for library of matrix-free (iterative) solvers for linear equations, linear least-squares, eigenvalues and singular values in tensorflow/contrib/solvers. Initial version has lanczos bidiagonalization, conjugate gradients and CGLS.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/tools/internal/stdlib/manifest.go
{"Khojki", Var, 4}, {"Khudawadi", Var, 4}, {"L", Var, 0}, {"Lao", Var, 0}, {"Latin", Var, 0}, {"Lepcha", Var, 0}, {"Letter", Var, 0}, {"Limbu", Var, 0}, {"Linear_A", Var, 4}, {"Linear_B", Var, 0}, {"Lisu", Var, 0}, {"Ll", Var, 0}, {"Lm", Var, 0}, {"Lo", Var, 0}, {"Logical_Order_Exception", Var, 0}, {"Lower", Var, 0}, {"LowerCase", Const, 0},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 02 02:20:05 UTC 2024 - 534.2K bytes - Viewed (0)