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Results 1 - 4 of 4 for 3x3x2x16xf32 (0.23 sec)

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

      // expected-error @+1 {{requires strides attribute length to be 4}}
      %0 = "tf.Conv2D"(%arg0, %arg1) {padding = "SAME", strides = [1, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x30x30x16xf32>
      func.return %0 : tensor<256x30x30x16xf32>
    }
    
    // -----
    
    func.func @testConv2D(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<3x3x3x16xf32>) -> tensor<256x30x30x16xf32> {
    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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  2. tensorflow/compiler/mlir/lite/tests/ops.mlir

      %6 = "tfl.broadcast_to"(%arg1, %4) : (tensor<8x7x6x5x?x3x2x1xf32>, tensor<8xi64>) -> tensor<8x7x6x5x?x3x2x1xf32>
      %7 = "tfl.broadcast_to"(%arg2, %4) : (tensor<?x3x2x1xf32>, tensor<8xi64>) -> tensor<8x7x6x5x?x3x2x1xf32>
      %8 = "tfl.select_v2"(%5, %6, %7) : (tensor<8x7x6x5x?x3x2x1xi1>, tensor<8x7x6x5x?x3x2x1xf32>, tensor<8x7x6x5x?x3x2x1xf32>) -> tensor<8x7x6x5x?x3x2x1xf32>
      func.return %8 : tensor<8x7x6x5x?x3x2x1xf32>
    }
    
    // -----
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 189.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

      %0 = "tf.Less"(%arg0, %arg1) : (tensor<8x7x6x5x?x3x2x1xf32>, tensor<?x3x2x1xf32>) -> tensor<8x7x6x5x?x3x2x1xi1>
      %1 = "tf.SelectV2"(%0, %arg0, %arg1) : (tensor<8x7x6x5x?x3x2x1xi1>, tensor<8x7x6x5x?x3x2x1xf32>, tensor<?x3x2x1xf32>) -> tensor<8x7x6x5x?x3x2x1xf32>
      func.return %1 : tensor<8x7x6x5x?x3x2x1xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 05 01:54:33 UTC 2024
    - 153.4K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir

      func.func @conv2d_partially_dynamic_spatial_dim(%arg0: tensor<256x?x32x3xf32>, %arg1: tensor<3x3x3x16xf32>) -> tensor<*xf32> {
        // CHECK: "tf.Conv2D"
        // CHECK-SAME: -> tensor<256x?x32x16xf32>
        %0 = "tf.Conv2D"(%arg0, %arg1) {padding = "SAME", strides = [1, 1, 1, 1]} : (tensor<256x?x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<*xf32>
        func.return %0 : tensor<*xf32>
      }
    
    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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