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Results 11 - 20 of 46 for 16x16xf32 (0.31 sec)

  1. tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir

    func.func @testSoftmax(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> {
      // CHECK: _arithmetic_count = 6400 : i64
      %0 = "tfl.softmax"(%arg0) {beta = 1.000000e+00 : f32} : (tensor<10x10xf32>) -> tensor<10x10xf32>
      func.return %0 : tensor<10x10xf32>
    }
    
    func.func @testTanh(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> {
      // CHECK: _arithmetic_count = 6400 : i64
      %0 = "tfl.tanh"(%arg0) : (tensor<10x10xf32>) -> tensor<10x10xf32>
    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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  2. tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/mlir_passthrough_op.pbtxt

    # CHECK:"tf.MlirPassthroughOp"
    # CHECK: mlir_module = "\0Afunc @main(%arg0 : tensor<10xf32>, %arg1 : tensor<10xf32>) -> tensor<10x10xf32> {\0A %add = \22tf.Add\22(%arg0, %arg1) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10xf32>\0A %ret = \22magic.op\22(%add, %add) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10x10xf32>\0A return %ret : tensor<10x10xf32>\0A}\0A"}> {device = ""} : (tensor<10xf32>, tensor<10xf32>) -> tensor<*xf32>
    
    node {
      name: "x"
      op: "Placeholder"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 1.9K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/tests/legalize-tf-variables.mlir

      // CHECK: %[[ADD:.*]] = tfl.add %[[VAR_VAL]], %arg0 {fused_activation_function = "NONE"} : tensor<1x10xf32>
      // CHECK: "tfl.assign_variable"(%[[RESOURCE]], %[[ADD]]) : (tensor<!tf_type.resource<tensor<1x10xf32>>>, tensor<1x10xf32>) -> ()
      // CHECK: %[[RESULT:.*]] = "tfl.read_variable"(%[[RESOURCE]]) : (tensor<!tf_type.resource<tensor<1x10xf32>>>) -> tensor<1x10xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 7.7K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tensorflow/tests/tpu_partitioned_op_conversion.mlir

    func.func @partitioned_3d(%arg0: tensor<!tf_type.resource<tensor<16x8x16xf32>>>, %arg1: tensor<!tf_type.resource<tensor<16x8x16xf32>>>, %arg2: tensor<!tf_type.resource<tensor<16x8x16xf32>>>, %arg3: tensor<!tf_type.resource<tensor<16x8x16xf32>>>)...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Jan 20 17:43:51 UTC 2023
    - 8.3K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tensorflow/tests/materialize_passthrough_op.mlir

      func.return %0 : tensor<10x10xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Mar 30 10:34:48 UTC 2022
    - 1.2K bytes
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  6. tensorflow/compiler/mlir/lite/tests/unfold-large-splat-constant.mlir

    func.func @unfold_large_constant_splat() -> (tensor<10x10xf32>, tensor<1000x1000xf32>) {
      %0 = arith.constant dense<0.00000e+00> : tensor<10x10xf32>
      %1 = arith.constant dense<1.00000e+00> : tensor<1000x1000xf32>
      func.return %0, %1 : tensor<10x10xf32>, tensor<1000x1000xf32>
    
      // CHECK-DAG: %cst = arith.constant dense<0.000000e+00> : tensor<10x10xf32>
      // CHECK-DAG: %cst_0 = arith.constant dense<1000> : tensor<2xi64>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 26 23:53:32 UTC 2022
    - 781 bytes
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  7. tensorflow/compiler/mlir/lite/tests/quantize-dynamic-range-float16.mlir

      %2 = "tfl.pseudo_const"() {value = dense<[[0.2]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %3 = "tfl.pseudo_const"() {value = dense<[[0.3]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %4 = "tfl.pseudo_const"() {value = dense<[[0.4]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %5 = "tfl.pseudo_const"() {value = dense<[[0.5]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 4.6K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir

      %2 = "tfl.pseudo_const"() {value = dense<[[0.2]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %3 = "tfl.pseudo_const"() {value = dense<[[0.3]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %4 = "tfl.pseudo_const"() {value = dense<[[0.4]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
      %5 = "tfl.pseudo_const"() {value = dense<[[0.5]]> : tensor<1x1xf32>} : () -> tensor<1x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 26.1K bytes
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  9. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir

    }
    
    // CHECK-LABEL: softmax
    func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> {
      %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
      func.return %0 : tensor<8x16xf32>
    // CHECK: %[[SOFTMAX_0:.*]] = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32>
    // CHECK: return %[[SOFTMAX_0]] : tensor<8x16xf32>
    }
    
    // CHECK-LABEL: conv2d_backprop_input_with_add
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
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  10. tensorflow/compiler/mlir/tfrt/tests/ifrt/sink_variable_as_named_array.mlir

        return %result : tensor<1x1xf32>
      }
    }
    
    // -----
    // Variable tensor for host can still be used.
    //
    // CHECK-LABEL:  func.func @serving_default(%arg0: tensor<1x3xf32>) -> (tensor<1x1xf32>, tensor<1x1xf32>) {
    // CHECK:  "tf.VarHandleOp"
    // CHECK-NOT:  [[VARIABLE:%.*]] = "tf.ReadVariableOp"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 06 15:33:17 UTC 2024
    - 5.3K bytes
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