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Results 21 - 30 of 3,122 for check$1 (0.27 sec)
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src/crypto/internal/edwards25519/scalarmult_test.go
varTimeDoubleBaseMultMatchesBaseMult := func(x, y Scalar) bool { var p, q1, q2, check Point p.VarTimeDoubleScalarBaseMult(&x, B, &y) q1.ScalarBaseMult(&x) q2.ScalarBaseMult(&y) check.Add(&q1, &q2) checkOnCurve(t, &p, &check, &q1, &q2) return p.Equal(&check) == 1 } if err := quick.Check(varTimeDoubleBaseMultMatchesBaseMult, quickCheckConfig(32)); err != nil { t.Error(err) }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Aug 28 17:26:17 UTC 2023 - 4.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_optimize.mlir
func.return %1 : tensor<1x28x23x2xf32> // CHECK: %cst_0 = arith.constant dense<3.000000e+00> : tensor<23x2xf32> // CHECK: %0 = "tf.Conv2D"(%arg0, %cst) <{data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]}> {T = "tfdtype$DT_FLOAT"} // CHECK: %1 = "tf.Mul"(%0, %cst_0) : (tensor<1x28x23x2xf32>, tensor<23x2xf32>) -> tensor<1x28x23x2xf32> // CHECK: return %1 : tensor<1x28x23x2xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// CHECK-LABEL: depthwiseConv2D // CHECK-DAG: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<12xf32> // CHECK-DAG: %[[CONSTANT0:.*]] = arith.constant dense<[1, 3, 3, 12]> : tensor<4xi32> // CHECK: %0 = "tf.Reshape"(%arg1, %[[CONSTANT0]]) : (tensor<3x3x3x4xf32>, tensor<4xi32>) -> tensor<1x3x3x12xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
func.return %4 : i32 // CHECK-LABEL: squeezeAndReshape // CHECK: "tfl.squeeze"(%arg0) <{squeeze_dims = [0]}> : (tensor<1x1x10xf32>) -> tensor<1x10xf32> // CHECK: %1 = "tfl.squeeze"(%arg1) <{squeeze_dims = []}> : (tensor<?x10xf32>) -> tensor<*xf32> // CHECK: %cst = arith.constant dense<[2, 5]> : tensor<2xi32> // CHECK: %2 = "tfl.reshape"(%0, %cst) : (tensor<1x10xf32>, tensor<2xi32>) -> tensor<2x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir
// CHECK: %0 = "tfl.while"(%arg0) ({ // CHECK: ^bb0(%arg1: tensor<i32>): // CHECK: %1 = tfl.add %arg0, %arg0 {fused_activation_function = "NONE", tac.device = "CPU", tac.inference_type = "FLOAT"} : tensor<i32> // CHECK: %2 = func.call @func_1_GPU_FLOAT(%1) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_1"} : (tensor<i32>) -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
// CHECK: %1 = "tfl.transpose"(%0, %[[cst_0]]) : (tensor<7x6x5x4x3x2xf32>, tensor<6xi32>) -> tensor<2x3x4x5x6x7xf32> // CHECK: %2 = "tfl.reshape"(%1, %[[cst_1]]) : (tensor<2x3x4x5x6x7xf32>, tensor<7xi32>) -> tensor<1x2x3x4x5x6x7xf32> // CHECK: return %2 } // CHECK-LABEL: OptimizeTranposeWithRank7orMoreEffectiveRank4 func.func @OptimizeTranposeWithRank7orMoreEffectiveRank4(%arg0: tensor<56x8x56x1x1x1x7xf32> ) -> (tensor<1x1x8x56x56x7x1xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
func.return %4#0, %4#1 : tensor<i16>, tensor<i32> // CHECK: %0 = mhlo.constant dense<false> : tensor<i1> // CHECK: %1 = "mhlo.iota"() <{iota_dimension = 0 : i64}> : () -> tensor<2xi32> // CHECK-DAG: %2 = mhlo.constant dense<32767> : tensor<i16> // CHECK: %3 = mhlo.constant dense<0> : tensor<i32> // CHECK: %cst = arith.constant dense<0> : tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
// CHECK: %0 = "tf.Bitcast"(%arg0) : (tensor<8x16x32x64xf32>) -> tensor<8x16x32x64x2xi16> // CHECK: %1 = "tf.Bitcast"(%arg0) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<8x16x32x64xf32>) -> tensor<8x16x32x64xi32> // CHECK: %2 = "tf.Identity"(%0) : (tensor<8x16x32x64x2xi16>) -> tensor<8x16x32x64x2xi16> // CHECK: return %1, %2 } // CHECK-LABEL: testSameCastType
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir
// CHECK: %0 = "tf.Sub"(%arg0, %arg1) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> // CHECK: %1 = "tf.Mul"(%0, %0) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> // CHECK: return %1 : tensor<4xf32> // CHECK: } // ----- func.func @unrollSplit(%arg0: tensor<i32>, %arg1: tensor<1x8x8x1024xf32>) -> (tensor<1x8x8x256xf32>, tensor<1x8x8x256xf32>, tensor<1x8x8x256xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.6K bytes - Viewed (0)