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Results 1 - 10 of 62 for 8x15xf32 (0.19 sec)

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

    }
    
    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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  2. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %2 = "tfl.exp"(%1) : (tensor<8x128xf32>) -> tensor<8x128xf32>
      %3 = "tfl.sum"(%2, %cst) {keep_dims = true} : (tensor<8x128xf32>, tensor<1xi32>) -> tensor<8x1xf32>
      %4 = "tfl.div"(%2, %3) {fused_activation_function = "NONE"} : (tensor<8x128xf32>, tensor<8x1xf32>) -> tensor<8x128xf32>
      func.return %4 : tensor<8x128xf32>
    
    // CHECK-LABEL: SoftMaxWithNormalization
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
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  3. tensorflow/compiler/mlir/lite/tests/canonicalize.mlir

    func.func @RemoveRedundantUnpackPack(%arg0: tensor<2x5xf32>) -> tensor<2x5xf32> {
      %0:2 = "tfl.unpack"(%arg0) {axis = 0 : i32, num = 2 : i32} : (tensor<2x5xf32>) -> (tensor<5xf32>, tensor<5xf32>)
      %1 = "tfl.pack"(%0#0, %0#1) {axis = 0 : i32, values_count = 2 : i32} : (tensor<5xf32>, tensor<5xf32>) -> (tensor<2x5xf32>)
      func.return %1: tensor<2x5xf32>
      // CHECK-NOT: pack
      // CHECK: return %arg0 : tensor<2x5xf32>
    }
    
    // -----
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.6K bytes
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  4. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

      func.return %0 : tensor<8x16xf32>
    
    // CHECK-LABEL:minimum
    // CHECK:  "tfl.minimum"(%arg0, %arg1) : (tensor<8x16xf32>, tensor<8x16xf32>) -> tensor<8x16xf32>
    }
    
    func.func @realDiv(%arg0: tensor<8x16xf32>, %arg1: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.RealDiv"(%arg0, %arg1) : (tensor<8x16xf32>, tensor<8x16xf32>) -> tensor<8x16xf32>
    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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  5. tensorflow/compiler/mlir/tfrt/tests/ifrt/sink_variable_as_named_array.mlir

    // CHECK-NEXT:    return [[RES]], [[MATRES]] : tensor<1x1xf32>, tensor<1x1xf32>
    //
    module {
      func.func @serving_default(%arg0: tensor<1x3xf32>) -> (tensor<1x1xf32>, tensor<1x1xf32>) {
        %0 = "tf.VarHandleOp"() <{container = "", shared_name = "y"}> : () -> tensor<!tf_type.resource<tensor<3x1xf32>>>
        %2 = "tf.ReadVariableOp"(%0) : (tensor<!tf_type.resource<tensor<3x1xf32>>>) -> tensor<3x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 15:33:17 UTC 2024
    - 5.3K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tfrt/tests/ifrt/rewrite_cluster_to_ifrt_call.mlir

      %outputs_2 = "tf.add"(%outputs_0, %outputs_1): (tensor<1x1xf32>, tensor<1x1xf32>) -> tensor<1x1xf32>
      return %outputs_2 : tensor<1x1xf32>
    }
    
    // CHECK-LABEL: @_func
    func.func private @_func(%arg0: tensor<1x3xf32>, %arg1: tensor<3x1xf32>) -> (tensor<1x1xf32>) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sat Feb 17 07:28:40 UTC 2024
    - 9K bytes
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  7. tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir

      // CHECK: return %0
    }
    
    // CHECK-LABEL: testAddOfNegRight
    func.func @testAddOfNegRight(%arg0: tensor<8x16xf32>, %arg1: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Neg"(%arg1) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      %1 = "tf.Add"(%arg0, %0) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<8x16xf32>, tensor<8x16xf32>) -> tensor<8x16xf32>
    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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  8. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

        // CHECK-NEXT: return %[[DIV]] : tensor<4x10xf32>
        %0 = "tf.Softsign"(%arg0) : (tensor<4x10xf32>) -> tensor<4x10xf32>
        func.return %0 : tensor<4x10xf32>
    }
    
    // -----
    
    // CHECK-LABEL: func @softsign_grad
    func.func @softsign_grad(%arg0: tensor<4x10xf32>, %arg1: tensor<4x10xf32>) -> tensor<4x10xf32> {
    
        // CHECK-NEXT: %[[ONE:.*]] = mhlo.constant dense<1.000000e+00> : tensor<f32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
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  9. tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-resource-args-handle-info.mlir

    func.func @main(%arg0: tensor<*x!tf_type.resource<tensor<8x1xf32>>>) -> tensor<8x1xf32> {
      %0 = tf_executor.graph {
         %outputs, %control = tf_executor.island wraps "tf.ReadVariableOp"(%arg0) : (tensor<*x!tf_type.resource<tensor<8x1xf32>>>) -> tensor<8x1xf32>
         tf_executor.fetch %outputs : tensor<8x1xf32>
      }
      func.return %0 : tensor<8x1xf32>
    }
    
    // Check that we generate _handle_dtypes and _handle_shapes for the resource
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 25 12:28:56 UTC 2022
    - 1.2K bytes
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  10. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir

    }
    
    // CHECK-LABEL: softmax
    func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    // CHECK: %[[SOFTMAX_0:.*]] = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
    // CHECK: return %[[SOFTMAX_0]] : tensor<8x16xf32>
    }
    
    // CHECK-LABEL: conv2d_backprop_input_with_add
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
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