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Results 1 - 3 of 3 for 256x32x32x3xf32 (0.15 sec)

  1. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/import_json.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
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  2. 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)
  3. tensorflow/compiler/mlir/lite/tests/optimize_no_verify.mlir

    // TFLite runtime restrictions.
    // RUN: tf-opt %s -tfl-optimize | FileCheck %s
    
    // CHECK-LABEL: fuseScalarAddIntoConv2dHalf
    func.func @fuseScalarAddIntoConv2dHalf(%arg0: tensor<256x32x32x3xf16>, %arg1: tensor<16x3x3x3xf16>) -> tensor<256x8x7x16xf16> {
      %cst = arith.constant dense<1.5> : tensor<f16>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
    - Viewed (0)
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