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Results 1 - 7 of 7 for 2x8xi32 (0.09 sec)

  2. github.com/tensorflow/tensorflow

    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
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  3. github.com/tensorflow/tensorflow

    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
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  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir 

      %0 = "tf.SelectV2"(%arg0, %arg1, %arg2) : (tensor<1xi1>, tensor<2x?x8xi32>, tensor<2x8x8xi32>) -> tensor<2x?x8xi32>
  func.return %0: tensor<2x?x8xi32>
}

// -----

// CHECK-LABEL: func @selectV2Unranked
func.func @selectV2Unranked(%arg0: tensor<1xi1>, %arg1: tensor<2x8x8xi32>, %arg2: tensor<*xi32>) -> tensor<*xi32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
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  5. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/ops.mlir 

      func.return %0 : tensor<2x2xi32>
}

// -----

func.func @unpack(%arg0: tensor<2x3xi32>) -> tensor<2xi32> {
  // CHECK: "tfl.unpack"(%arg0) <{axis = 1 : i32, num = 3 : i32}>
  %0:3 = "tfl.unpack"(%arg0) {axis = 1 : i32, num = 3 : i32} : (tensor<2x3xi32>) -> (tensor<2xi32>, tensor<2xi32>, tensor<2xi32>)
  func.return %0#0 : tensor<2xi32>
}
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 189.2K bytes
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  6. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir 

        %0 = "tf.Const"() {value = dense<2> : tensor<2xi32>} : () -> tensor<2xi32>
    %1 = "tf.Const"() {value = dense<2> : tensor<2x2xi32>} : () -> tensor<2x2xi32>
    %2 = "tf.Identity"(%1) {device = ""} : (tensor<2x2xi32>) -> tensor<2x2xi32>
    // CHECK: SpaceToBatchND{{.*}}-> tensor<4x98x130x128xf32>
    %3 = "tf.SpaceToBatchND"(%arg0, %0, %2) {device = ""} : (tensor<1x192x256x128xf32>, tensor<2xi32>, tensor<2x2xi32>) -> tensor<4x?x?x128xf32>
    func.return
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 17:24:10 UTC 2024
    - 167.4K bytes
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  7. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir 

      %15 = "tf.AddV2"(%14, %3) {device = ""} : (tensor<2x16xi32>, tensor<i32>) -> tensor<2x16xi32>
  %16 = "tf.Mul"(%15, %8) {device = ""} : (tensor<2x16xi32>, tensor<i32>) -> tensor<2x16xi32>
  %17 = "tf.AddV2"(%16, %6) {device = ""} : (tensor<2x16xi32>, tensor<2x1xi32>) -> tensor<2x16xi32>
  %18 = "tf.Mul"(%14, %8) {device = ""} : (tensor<2x16xi32>, tensor<i32>) -> tensor<2x16xi32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 122.1K bytes
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  8. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir 

      %0 = stablehlo.uniform_dequantize %arg : (tensor<2x2x!quant.uniform<i8:f32, 1.000000e+0:8>>) -> tensor<2x2xf32>
  return %0 : tensor<2x2xf32>
}
// CHECK-LABEL: uniform_dequantize_op
// CHECK: %[[DEQUANT:.+]] = "tfl.dequantize"({{.*}}) : (tensor<2x2x!quant.uniform<i8:f32, 1.000000e+00:8>>) -> tensor<2x2xf32>
// CHECK: return %[[DEQUANT]]

// -----
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 17:10:32 UTC 2024
    - 106.2K bytes
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