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Results 11 - 15 of 15 for 256x30x30x16xf32 (0.17 sec)

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

       // Unsupported strides
       %3 = "tf.DepthwiseConv2dNative"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 1, 1, 1], padding = "SAME", strides = [2, 1, 1, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x4xf32>) -> tensor<256x30x30x12xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
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  2. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/import_json.json

    // CHECK: return %[[RES0]] : tensor<256x32x32x16xf32>
    
    {
      "version": 3,
      "operator_codes": [
        {
          "builtin_code": "CONV_2D"
        }
      ],
      "subgraphs": [
        {
          "tensors": [
            {
              "shape": [
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 1.8K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/experimental/tac/tests/get-op-cost.mlir

      func.return %0 : tensor<256x32x32x16xf32>
    }
    
    func.func @testConv2DGPU(tensor<256x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<256x32x32x16xf32> {
    ^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>):
      // CHECK: tac.cost = 0x4C300000
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Mar 24 05:29:10 UTC 2022
    - 5.7K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/optional_input.json

    // CHECK: return %[[RES0]] : tensor<256x32x32x16xf32>
    
    {
      "version": 3,
      "operator_codes": [
        {
          "builtin_code": "CONV_2D"
        }
      ],
      "subgraphs": [
        {
          "tensors": [
            {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 1.8K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir

      func.return %0 : tensor<256x32x32x16xf32>
    }
    
    func.func @testConv2DDynamicShape(tensor<?x32x32x3xf32>, tensor<16x3x3x3xf32>, tensor<16xf32>) -> tensor<?x32x32x16xf32> {
    ^bb0(%arg0: tensor<?x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>):
      // CHECK: _arithmetic_count = -1 : i64
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 14 04:58:17 UTC 2022
    - 7.7K bytes
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