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Results 1 - 3 of 3 for 5x384xf32 (0.3 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tensor_array_ops_decomposition.mlir 

    }
// CHECK: func private @callee_tensorarray_decomposed(%[[CARG0:.*]]: tensor<!tf_type.resource<tensor<5x3xf32>>>, %[[CARG1:.*]]: tensor<!tf_type.resource<tensor<5x3xf32>>>, %[[CARG2:.*]]: tensor<!tf_type.resource<tensor<5x3xf32>>>)
// CHECK: %[[READ1:.*]] = "tf.ReadVariableOp"(%[[CARG1]]) : (tensor<!tf_type.resource<tensor<5x3xf32>>>) -> tensor<5x3xf32>
// CHECK: %[[UPDATE1:.*]] = "tf.XlaDynamicUpdateSlice"(%[[READ1]],
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 49K bytes
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/unroll-batch-matmul.mlir 

      // CHECK: %[[LHS_2:.*]] = "tf.Reshape"(%[[LHS_SPLIT]]#1, %[[MATMUL_LHS_SHAPE]]) : (tensor<1x5x4xf32>, tensor<2xi64>) -> tensor<5x4xf32>
  // CHECK: %[[LHS_3:.*]] = "tf.Reshape"(%[[LHS_SPLIT]]#2, %[[MATMUL_LHS_SHAPE]]) : (tensor<1x5x4xf32>, tensor<2xi64>) -> tensor<5x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Dec 06 18:42:28 UTC 2023
    - 63.7K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir 

        %0 = "tf.Div"(%arg0, %cst_3) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
    %1 = "tf.AddV2"(%0, %cst_1) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
    %2 = "tf.Maximum"(%1, %cst_1) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
    %3 = "tf.Minimum"(%2, %cst_5) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 81K bytes
    - Viewed (0)
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