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Results 41 - 45 of 45 for 1x1xf32 (0.14 sec)

  1. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions_with_quantization_specs.mlir

    // RUN:   -split-input-file | FileCheck %s --check-prefix=STATIC-RANGE-PTQ-TO-COMPUTE-HEAVY
    
    // STATIC-RANGE-PTQ-TO-COMPUTE-HEAVY: @main
    func.func @main(%arg0: tensor<1x2xf32>) -> tensor<1x2xf32> {
      %0 = stablehlo.add %arg0, %arg0 : tensor<1x2xf32>
      return %0 : tensor<1x2xf32>
    }
    // Tests that `composite_add_fn_1` does not quantize when quantizing
    // only compute-heavy ops.
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 02 18:09:38 UTC 2024
    - 8.1K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/tensorflow/tests/replicate_tensor_list_init_ops.mlir

      %elem_1 = "tf._FirstOp"() : () -> tensor<8x1xf32>
      %tl_set_item = "tf.TensorListSetItem"(%tl, %one, %elem_1) : (tensor<!tf_type.variant<tensor<?x1xf32>>>, tensor<i32>, tensor<8x1xf32>) -> tensor<!tf_type.variant<tensor<?x1xf32>>>
      %elem_2 = "tf._SecondOp"() : () -> tensor<16x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Jan 22 17:28:34 UTC 2023
    - 8.2K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/legacy_reshape.json

    // CHECK: %0 = "tfl.pseudo_const"() <{value = dense<2> : tensor<2xi32>}> : () -> tensor<2xi32>
    // CHECK: %1 = "tfl.reshape"(%arg0, %0) : (tensor<1x4xf32>, tensor<2xi32>) -> tensor<2x2xf32>
    
    {
      "version": 3,
      "operator_codes": [
        {
          "builtin_code": "RESHAPE"
        }
      ],
      "subgraphs": [
        {
          "tensors": [
            {
              "shape": [1, 4],
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 986 bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/legalize-tensorlist.mlir

    }
    
    // -----
    
    // CHECK-LABEL: listPushBack
    func.func @listPushBack(%arg0: tensor<!tf_type.variant<tensor<?x1xf32>>>, %arg1: tensor<16x1xf32>) -> tensor<!tf_type.variant<tensor<?x1xf32>>>  {
      %0 = "tf.TensorListPushBack"(%arg0, %arg1) : (tensor<!tf_type.variant<tensor<?x1xf32>>>, tensor<16x1xf32>) -> tensor<!tf_type.variant<tensor<?x1xf32>>>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 9.5K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/experimental/tac/tests/target-annotation.mlir

    // -----
    
    func.func @testAddReluPack(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) {
       // CHECK: tac.device = "GPU", tac.inference_type = "FLOAT"
      %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
       // CHECK: tac.device = "GPU", tac.inference_type = "FLOAT"
      %1 = "tfl.add"(%arg0, %0) {fused_activation_function = "RELU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 19 19:32:06 UTC 2023
    - 6.2K bytes
    - Viewed (0)
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