- Sort Score
- Result 10 results
- Languages All
Results 1 - 3 of 3 for zero_save (0.38 sec)
-
src/crypto/internal/nistec/p256_asm_amd64.s
#define r(off) (32*11 + off)(SP) #define hsqr(off) (32*12 + off)(SP) #define rsqr(off) (32*13 + off)(SP) #define hcub(off) (32*14 + off)(SP) #define rptr (32*15)(SP) #define sel_save (32*15 + 8)(SP) #define zero_save (32*15 + 8 + 4)(SP) // func p256PointAddAffineAsm(res, in1 *P256Point, in2 *p256AffinePoint, sign, sel, zero int) TEXT ·p256PointAddAffineAsm(SB),0,$512-48 // Move input to stack in order to free registers
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 04 17:29:44 UTC 2024 - 39.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/stack_ops_decomposition.mlir
// CHECK-NEXT: %[[SIZE:.*]] = "tf.MlirLocalVarOp"() : () -> tensor<!tf_type.resource<tensor<1xi32>>> // CHECK-NEXT: %[[ZERO_SIZE:.*]] = "tf.Const"() <{value = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32> // CHECK-NEXT: "tf.AssignVariableOp"(%[[SIZE]], %[[ZERO_SIZE]]) : (tensor<!tf_type.resource<tensor<1xi32>>>, tensor<1xi32>) -> ()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.8K bytes - Viewed (0) -
RELEASE.md
* Triangular solve performance improvements. * Unify RNN cell interface between TF and Keras. Add new get_initial_state() to Keras and TF RNN cell, which will use to replace the existing zero_state() method. * Update initialization of variables in Keras. * Updates to "constrained_optimization" in tensorflow/contrib. * boosted trees: adding pruning mode.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)