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Results 1 - 8 of 8 for 1024x512xf32 (0.16 sec)

  1. tensorflow/compiler/mlir/lite/tests/const-fold.mlir

      %cst_weights = arith.constant dense<2.0> : tensor<1024x512xf32>
      %cst_bias = arith.constant dense<4.0> : tensor<1024xf32>
    
      %0 = "tfl.fully_connected" (%cst_input, %cst_weights, %cst_bias) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<512xf32>, tensor<1024x512xf32>, tensor<1024xf32>) -> tensor<1024xf32>
    
      func.return %0 : tensor<1024xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 45.8K bytes
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  2. tensorflow/compiler/mlir/lite/tests/optimize.mlir

      %split:2 = "tfl.split"(%cst_1, %dequant) {num_splits = 2 : i32} : (tensor<i32>, tensor<1024x256xf32>) -> (tensor<1024x128xf32>, tensor<1024x128xf32>)
      %0 = "tfl.transpose"(%split#0, %cst) : (tensor<1024x128xf32>, tensor<2xi32>) -> tensor<128x1024xf32>
      // CHECK: tfl.fully_connected
      // CHECK-NOT: tfl.batch_matmul
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 16 20:31:41 UTC 2024
    - 284.1K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tf2xla/api/v2/testdata/func_with_dead_ops.mlir

    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 13 23:22:50 UTC 2024
    - 15.3K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tfrt/tests/analysis/tensor_array_side_effect_analysis.mlir

      %cst = "tf.Const"() {value = dense<1.1> : tensor<100x512xf32>} : () -> tensor<100x512xf32>
      %one = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Mar 25 12:41:10 UTC 2022
    - 1.7K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir

        %cst_0 = "tf.Const"() {value = dense<2.000000e+00> : tensor<1024x2xf32>} : () -> tensor<1024x2xf32>
        %cst_1 = "tf.Const"() {value = dense<[2, 1024]> : tensor<2xi32>} : () -> tensor<2xi32>
        // Original identity preserved.
        %cst_identity = "tf.Identity"(%cst_0) {device = ""} : (tensor<1024x2xf32>) -> tensor<1024x2xf32>
        %0 = "tf.Reshape"(%cst_identity, %cst_1) : (tensor<1024x2xf32>, tensor<2xi32>) -> tensor<2x1024xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 42K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir

    // CHECK-LABEL: FuseTransposeFCRhsToBatchMatmul
    func.func @FuseTransposeFCRhsToBatchMatmul(%arg0: tensor<16x1024xf32>, %arg1: tensor<1024x128xf32>, %arg2: none) -> tensor<16x128xf32> {
      %cst = arith.constant dense<[1, 0]> : tensor<2xi32>
      %0 = "tfl.transpose"(%arg1, %cst) : (tensor<1024x128xf32>, tensor<2xi32>) -> tensor<128x1024xf32>
      // CHECK: "tfl.batch_matmul"(%arg0, %arg1)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 9K bytes
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  7. tensorflow/compiler/mlir/lite/experimental/tac/tests/get-alternative-subgraph.mlir

    // CHECK:           %[[VAL_11:.*]] = "tfl.reshape"(%[[VAL_9]], %[[VAL_6]]) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<384x512xf32>, tensor<4xi32>) -> tensor<1x1x384x512xf32>
    // CHECK:           %[[VAL_12:.*]] = "tfl.reshape"(%[[VAL_10]], %[[VAL_7]]) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<128x512xf32>, tensor<4xi32>) -> tensor<128x1x1x512xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.1K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/control_flow.mlir

      %cst = "tf.Const"() {value = dense<1.1> : tensor<100x512xf32>} : () -> tensor<100x512xf32>
      %one = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 14 00:40:32 UTC 2024
    - 17.5K bytes
    - Viewed (0)
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