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Results 1 - 5 of 5 for 69xi32 (8.94 sec)
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tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
// CHECK-LABEL: func @main(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<1xi32> func.func @main(%arg0: tensor<1xi32>, %arg1: tensor<1xi32>) -> tensor<*xi32> { // CHECK: %[[RESULT:.*]] = "tf.AddV2" // CHECK-SAME: (tensor<1xi32>, tensor<1xi32>) -> tensor<1xi32> // CHECK: return %[[RESULT]] : tensor<1xi32> %0 = "tf.Cast"(%arg0) : (tensor<1xi32>) -> tensor<*xi32> %1 = "tf.Cast"(%arg1) : (tensor<1xi32>) -> tensor<*xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// ----- func.func @testFusedActivationFunction(%arg0: tensor<4xi32>, %arg1: tensor<4xi32>) -> (tensor<4xi32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>, tensor<4xi32>) { // CHECK: "NONE" %0 = tfl.add %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<4xi32> // CHECK: "RELU" %1 = tfl.add %arg0, %arg1 {fused_activation_function = "RELU"} : tensor<4xi32> // CHECK: "RELU_N1_TO_1"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
func.return %0#0 : tensor<2xi32> // CHECK-LABEL: unpack3Tensors // CHECK: "tfl.unpack"(%arg0) <{axis = 1 : i32, num = 3 : i32}> : (tensor<2x3xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) } func.func @unpackNegAxis(%arg0: tensor<2x3xi32>) -> tensor<2xi32> { %0:3 = "tf.Unpack"(%arg0) {axis = -1 : i64} : (tensor<2x3xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>)
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/tensorflow/tests/tf-ops.mlir
func.func @testBroadcastGradientArgs(%s0: tensor<4xi32>, %s1: tensor<4xi32>) -> (tensor<1xi32>, tensor<0xi32>) { %r0, %r1 = "tf.BroadcastGradientArgs"(%s0, %s1) : (tensor<4xi32>, tensor<4xi32>) -> (tensor<1xi32>, tensor<0xi32>) func.return %r0, %r1 : tensor<1xi32>, tensor<0xi32> } // ----- func.func @testBroadcastGradientArgsIncompatibleInputType(%s0: tensor<4xi32>, %s1: tensor<4xi64>) -> (tensor<1xi32>, tensor<0xi32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
%2 = "tf.AddN"(%arg0, %1, %1) : (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> %3 = "tf.AddN"(%1, %arg0, %1) : (tensor<2xi32>, tensor<2xi32> , tensor<2xi32>) -> tensor<2xi32> %4 = "tf.AddN"(%1, %1) : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> %5 = "tf.AddN"(%arg0, %1, %0) : (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> func.return %2, %3, %4, %5: tensor<2xi32>, tensor<2xi32>, tensor<2xi32>, tensor<2xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0)