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Results 21 - 30 of 126 for art5 (0.07 sec)

  1. tensorflow/compiler/mlir/lite/stablehlo/odml_converter/odml_converter_main.cc

    const char* art = R"(
      ___  ___  __  __ _       ___                     _
     / _ \|   \|  \/  | |     / __|___ _ ___ _____ _ _| |_ ___ _ _
    | (_) | |) | |\/| | |__  | (__/ _ \ ' \ V / -_) '_|  _/ -_) '_|
     \___/|___/|_|  |_|____|  \___\___/_||_\_/\___|_|  \__\___|_|
    )";
    
    int main(int argc, char* argv[]) {
      tensorflow::InitMlir y(&argc, &argv);
      llvm::errs() << art << "\n";
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 19:05:30 UTC 2024
    - 2.2K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm.mlir

    // CHECK-EMPTY:
    // CHECK-NEXT:       },
    // CHECK-NEXT:       has_rank: true
    // CHECK-NEXT:     }, {
    // CHECK-NEXT:       shape: [ 4, 4 ],
    // CHECK-NEXT:       buffer: 6,
    // CHECK-NEXT:       name: "arg5",
    // CHECK-NEXT:       quantization: {
    // CHECK-EMPTY:
    // CHECK-NEXT:       },
    // CHECK-NEXT:       has_rank: true
    // CHECK-NEXT:     }, {
    // CHECK-NEXT:       shape: [ 4, 4 ],
    // CHECK-NEXT:       buffer: 7,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 06 18:55:51 UTC 2023
    - 10.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/lstm_asym_attr.mlir

    // CHECK-EMPTY:
    // CHECK-NEXT:       },
    // CHECK-NEXT:       has_rank: true
    // CHECK-NEXT:     }, {
    // CHECK-NEXT:       shape: [ 4, 4 ],
    // CHECK-NEXT:       buffer: 6,
    // CHECK-NEXT:       name: "arg5",
    // CHECK-NEXT:       quantization: {
    // CHECK-EMPTY:
    // CHECK-NEXT:       },
    // CHECK-NEXT:       has_rank: true
    // CHECK-NEXT:     }, {
    // CHECK-NEXT:       shape: [ 4, 4 ],
    // CHECK-NEXT:       buffer: 7,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 06 18:55:51 UTC 2023
    - 10.2K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/ops.mlir

      ^bb0(%arg3: tensor<*xi32>, %arg4: tensor<1xf32>, %arg5: tensor<2xf32>):
        %1 = func.call @WhileOp_cond(%arg3, %arg4, %arg5) : (tensor<*xi32>, tensor<1xf32>, tensor<2xf32>) -> tensor<i1>
        "tfl.yield"(%1) : (tensor<i1>) -> ()
      },  {
      ^bb0(%arg3: tensor<*xi32>, %arg4: tensor<2xf32>, %arg5: tensor<1xf32>):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 19:09:08 UTC 2024
    - 189.2K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops_large_constants.mlir

        return %3 : tensor<1x2240x1120x512xf32>
      }
      func.func private @quantized_conv2d_with_relu_fn_0(%arg0: tensor<1x2240x2240x3xi8>, %arg1: tensor<960x960x3x512xi8>, %arg2: tensor<f32>, %arg3: tensor<i32>, %arg4: tensor<512xf32>, %arg5: tensor<512xi32>, %arg6: tensor<f32>, %arg7: tensor<i32>) -> tensor<1x2240x1120x512xi8> {
        %cst = "tf.Const"() {value = dense<127> : tensor<i32>} : () -> tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 5.9K bytes
    - Viewed (0)
  6. docs/de/docs/tutorial/security/get-current-user.md

    Verwenden Sie einfach jede Art von Modell, jede Art von Klasse, jede Art von Datenbank, die Sie für Ihre Anwendung benötigen. **FastAPI** deckt das alles mit seinem Dependency Injection System ab.
    
    ## Codegröße
    
    Registered: Mon Jun 17 08:32:26 UTC 2024
    - Last Modified: Sat Mar 30 18:08:05 UTC 2024
    - 8.5K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_lstm.mlir

    // CHECK-EMPTY:
    // CHECK-NEXT:       },
    // CHECK-NEXT:       has_rank: true
    // CHECK-NEXT:     }, {
    // CHECK-NEXT:       shape: [ 4, 4 ],
    // CHECK-NEXT:       buffer: 6,
    // CHECK-NEXT:       name: "arg5",
    // CHECK-NEXT:       quantization: {
    // CHECK-EMPTY:
    // CHECK-NEXT:       },
    // CHECK-NEXT:       has_rank: true
    // CHECK-NEXT:     }, {
    // CHECK-NEXT:       shape: [ 4, 4 ],
    // CHECK-NEXT:       buffer: 7,
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 06 18:55:51 UTC 2023
    - 11.7K bytes
    - Viewed (0)
  8. .zenodo.json

    {
        "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
        "license": "Apache-2.0",
        "title": "TensorFlow",
        "upload_type": "software",
        "creators": [
            {
                "name": "TensorFlow Developers"
            }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 18 19:19:25 UTC 2021
    - 741 bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/tests/canonicalize.mlir

        %9 = "tf.Const"() {value = dense<10> : tensor<i32>} : () -> tensor<i32>
        %10 = "tf.Less"(%arg3, %9) {device = ""} : (tensor<i32>, tensor<i32>) -> tensor<i1>
        "tfl.yield"(%10) : (tensor<i1>) -> ()
      },  {
      ^bb0(%arg1: tensor<i32>, %arg2: tensor<i32>, %arg3: tensor<i32>, %arg4: tensor<!tf_type.resource>, %arg5: tensor<f32>):
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.6K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/tf_to_corert_pipeline.mlir

    // CHECK-SAME: [[arg1:%.*]]: !tfrt_fallback.tf_tensor {tf._user_specified_name = "inputs"},
    // CHECK-SAME: [[arg2:%.*]]: !tfrt_fallback.tf_tensor, [[arg3:%.*]]: !tfrt_fallback.tf_tensor, [[arg4:%.*]]: !tfrt_fallback.tf_tensor, [[arg5:%.*]]: !tfrt_fallback.tf_tensor)
    // CHECK-SAME: -> (!tfrt.chain
    // CHECK: [[o1:%.*]] = tfrt_fallback_async.const_dense_tensor
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 08 00:18:59 UTC 2024
    - 7.7K bytes
    - Viewed (0)
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