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Results 1 - 2 of 2 for 3x4x5x6xf32 (0.09 sec)

  1. tensorflow/compiler/mlir/tensorflow/tests/unroll-batch-matmul.mlir

      // CHECK: return %[[RESULT]] : tensor<2x3x4x6xf32>
    }
    
    // -----
    
    func.func @batchMatMulOneDim(%arg0: tensor<3x4x5xf32>, %arg1: tensor<3x5x6xf32>) -> tensor<3x4x6xf32> {
      %0 = "tf.BatchMatMul"(%arg0, %arg1) : (tensor<3x4x5xf32>, tensor<3x5x6xf32>) -> tensor<3x4x6xf32>
      func.return %0 : tensor<3x4x6xf32>
    
      // CHECK-LABEL: batchMatMulOneDim
      // CHECK-DAG: %[[SPLITTING_AXIS:.*]] = "tf.Const"() <{value = dense<0> : tensor<i32>}>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 06 18:42:28 UTC 2023
    - 63.7K bytes
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  2. tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir

        %20 = "tf.Mul"(%19, %cst_0) {device = ""} : (tensor<2x4x3x6xf32>, tensor<f32>) -> tensor<2x4x3x6xf32>
        %21 = "tf.Relu"(%20) {device = ""} : (tensor<2x4x3x6xf32>) -> tensor<2x4x3x6xf32>
        %22 = "tf.Minimum"(%21, %cst) {device = ""} : (tensor<2x4x3x6xf32>, tensor<f32>) -> tensor<2x4x3x6xf32>
        %23 = "tf.Identity"(%22) {device = ""} : (tensor<2x4x3x6xf32>) -> tensor<2x4x3x6xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 81K bytes
    - Viewed (0)
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