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Results 1 - 3 of 3 for 640x640xf32 (0.3 sec)

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

          %arg6 : tensor<!tf_type.resource<tensor<640xf32>>>,
          %arg7 : tensor<!tf_type.resource<tensor<512x640xf32>>>,
          %arg8 : tensor<!tf_type.resource<tensor<640x640xf32>>>,
          %arg9 : tensor<!tf_type.resource<tensor<4096xf32>>>,
          %arg10 : tensor<!tf_type.resource<tensor<640x4096xf32>>>,
          %arg11 : tensor<!tf_type.resource<tensor<512xf32>>>
          ) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jan 23 17:24:10 UTC 2024
    - 167.4K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

    }
    
    func.func @matmul_transposed_a(%arg0: tensor<37x40xf32>, %arg1: tensor<37x40xf32>) -> tensor<40x40xf32> {
      %0 = "tf.MatMul"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", device = "/device:CPU:0", name = "MatMul", transpose_a = true, transpose_b = false} :
    (tensor<37x40xf32>, tensor<37x40xf32>) -> tensor<40x40xf32>
      func.return %0 : tensor<40x40xf32>
    // CHECK-LABEL: matmul_transposed_a
    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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  3. tensorflow/compiler/mlir/lite/tests/ops.mlir

    }
    
    // -----
    
    func.func @fully_connected_no_bias(%arg0: tensor<2x2x10xf32>, %arg1: tensor<40x40xf32>, %arg2: none) -> tensor<1x40xf32> {
      %0 = "tfl.fully_connected"(%arg0, %arg1, %arg2) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<2x2x10xf32>, tensor<40x40xf32>, none) -> tensor<1x40xf32>
      func.return %0 : tensor<1x40xf32>
    }
    
    // -----
    
    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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