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Results 1 - 5 of 5 for 2x5x4xf32 (0.14 sec)

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

    func.func @testSelectV2WithWrongBroadcastableArguments(%cond : tensor<3x4xi1>, %arg0 : tensor<2x3x4xf32>, %arg1 : tensor<4x3xf32>) -> tensor<2x3x4xf32> {
      // expected-error @+1 {{'tfl.select_v2' op operands don't have broadcast-compatible shapes}}
      %0 = "tfl.select_v2"(%cond, %arg0, %arg1): (tensor<3x4xi1>, tensor<2x3x4xf32>, tensor<4x3xf32>) -> tensor<2x3x4xf32>
      func.return %0 : tensor<2x3x4xf32>
    }
    
    // -----
    
    // CHECK-LABEL: topk
    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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  2. tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir

    func.func @testReshapeNoOp(%arg0: tensor<2x4xf32>, %arg1: tensor<2xi32>) -> tensor<2x4xf32> {
      %0 = "tf.Reshape"(%arg0, %arg1) : (tensor<2x4xf32>, tensor<2xi32>) -> tensor<2x4xf32>
    
      // CHECK: return %arg0
      func.return %0 : tensor<2x4xf32>
    }
    
    // CHECK-LABEL: func @testBroadcastToNoOp
    func.func @testBroadcastToNoOp(%arg0: tensor<2x4xf32>, %arg1: tensor<2xi32>) -> tensor<2x4xf32> {
    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. tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir

    // CHECK: return %[[TRANSPOSE]]
    
    // -----
    
    // Tests that a float `stablehlo.transpose` is not converted to `tfl.transpose`.
    
    func.func @transpose_float(%arg0: tensor<2x3x4xf32>) -> tensor<4x3x2xf32> {
      %0 = stablehlo.transpose %arg0, dims = [2, 1, 0] : (tensor<2x3x4xf32>) -> tensor<4x3x2xf32>
      return %0 : tensor<4x3x2xf32>
    }
    // CHECK-LABEL: transpose_float
    // CHECK-NOT: tfl.transpose
    // CHECK: stablehlo.transpose
    
    // -----
    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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  4. tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir

    func.func private @dense_image_warp_invalid_input_shape(%arg0: tensor<2x4x4xf32>, %arg1: tensor<2x4x4x2xf32>) -> tensor<2x4x4x1xf32> attributes {tf._implements = "addons:DenseImageWarp"}
    
    // expected-warning @+1 {{Flow should be a 4D float tensor}}
    func.func private @dense_image_warp_invalid_flow_shape(%arg0: tensor<2x4x4x1xf32>, %arg1: tensor<2x4x4xf32>) -> tensor<2x4x4x1xf32> attributes {tf._implements = "addons:DenseImageWarp"}
    
    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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  5. tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td

      %arg0_shape = "tf.Const"() {value = dense<[1, 8, 4]> : tensor<3xi32>} : () -> tensor<3xi32>
      %arg0_reshaped = "tf.Reshape"(%arg0, %arg0_shape) : (tensor<8x4xf32>, tensor<3xi32>) -> tensor<1x8x4xf32>
      %zeroi2 = "tf.Const"() {value = dense<0> : tensor<2xi32>} : () -> tensor<2xi32>
      %axis = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:18:05 UTC 2024
    - 99.6K bytes
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