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Results 1 - 4 of 4 for 1x2xi32 (0.35 sec)
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tensorflow/compiler/mlir/lite/tests/ops.mlir
func.return %0 : tensor<1x4x2xi32> } // ----- func.func @packNegInputAxis2(%arg0: tensor<1x4xi32>, %arg1: tensor<1x4xi32>) -> tensor<1x2x4xi32> { // CHECK: "tfl.pack"(%arg0, %arg1) <{axis = -2 : i32, values_count = 2 : i32}> %0 = "tfl.pack"(%arg0, %arg1) {axis = -2 : i32, values_count = 2 : i32} : (tensor<1x4xi32>, tensor<1x4xi32>) -> tensor<1x2x4xi32>
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.func @addN(%arg0: tensor<2x3xi32>, %arg1: tensor<2x3xi32>, %arg2: tensor<2x3xi32>) -> tensor<2x3xi32> { %0 = "tf.AddN"(%arg0, %arg1, %arg2) : (tensor<2x3xi32>, tensor<2x3xi32>, tensor<2x3xi32>) -> tensor<2x3xi32> func.return %0 : tensor<2x3xi32> // CHECK-LABEL: addN // CHECK: "tfl.add_n"(%arg0, %arg1, %arg2) : (tensor<2x3xi32>, tensor<2x3xi32>, tensor<2x3xi32>) -> tensor<2x3xi32> // CHECK: return }
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/xla_broadcast.mlir
// CHECK-NEXT: %[[GROUP:.*]] = "tf.Const"() // CHECK-SAME: [0, 1, 2, 3] // CHECK-NEXT: %[[REDUCED:.*]] = "tf.XlaAllReduce"(%[[ID]], %[[GROUP]]) <{mode = "CrossReplica", reduce_op = "Add"}> : (tensor<f32>, tensor<1x4xi32>) -> tensor<f32> // CHECK-NEXT: "tf.OpA"(%[[REDUCED]]) : (tensor<f32>) -> () tf_device.replicate {n = 4 : i32} { "tf_device.cluster"() ({ "tf.OpA"(%arg0) : (tensor<f32>) -> () tf_device.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 18:52:07 UTC 2024 - 2.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
```mlir %0 = "tf.Const"() {value = dense<[[42.0]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32> %1 = "tf.Const"() {device = "", value = dense<[[42.0]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32> %2 = "tf.Const"() {device = "baz", value = dense<[[42.0]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32> ``` then running this pass with 'default-device=foobar', we get: ```mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0)