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Results 11 - 17 of 17 for 10x3xf32 (0.37 sec)

  1. tensorflow/compiler/mlir/tfrt/tests/mlrt/tf_to_mlrt.mlir

    // Test for XlaLaunch
    
    func.func private @xla_func_0(%arg0: tensor<1x3xf32>, %arg1: tensor<1x3xf32>) -> tensor<1x3xf32> attributes {tf._XlaMustCompile = true, tf._noinline = true, tf._original_func_name = "should_not_be_used"} {
      %1 = "tf.AddV2"(%arg0, %arg1) {__op_key = 0: i32} : (tensor<1x3xf32>, tensor<1x3xf32>) -> tensor<1x3xf32>
      func.return %1 : tensor<1x3xf32>
    }
    
    // CHECK-LABEL: func @xla_func
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 31 20:44:15 UTC 2024
    - 24.7K bytes
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  2. 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)
  3. tensorflow/compiler/mlir/lite/tests/const-fold.mlir

      func.return %0 : tensor<1024xf32>
    
      // 1.0 * 2.0 * 512 + 4.0 = 1028.0
      // CHECK: %[[CST:.*]] = arith.constant dense<1.028000e+03> : tensor<1024xf32>
      // CHECK:  return %[[CST]]
    }
    
    // CHECK-LABEL: @ConstantFoldFullyConnectedNoBias
    func.func @ConstantFoldFullyConnectedNoBias() -> tensor<1024xf32> {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 45.8K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions.mlir

    func.func @float_matmul(
      %arg0: tensor<1x10xf32>, %arg1: tensor<10x10xf32>) -> (tensor<*xf32>, tensor<*xf32>, tensor<*xf32>) {
      %cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<10xf32>} : () -> tensor<10xf32>
      %0 = "tf.MatMul"(%arg0, %arg1) {
        transpose_a = false, transpose_b = false
      } : (tensor<1x10xf32>, tensor<10x10xf32>) -> tensor<*xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri May 10 04:07:09 UTC 2024
    - 26.5K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir

      %prelu = "tfl.prelu"(%arg0, %cst) : (tensor<1x10x10x3xf32>, tensor<1x1x3xf32>) -> tensor<1x10x10x3xf32>
      func.return %prelu : tensor<1x10x10x3xf32>
    
    // CHECK: %[[cst:.*]] = arith.constant dense<[{{\[}}[1.66394591, 3.61694336, 2.0382936]]]> : tensor<1x1x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 18.4K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc

          %arg0 = "tf.Const"() {value = dense<-3.0> : tensor<5x7xf32>} : () -> tensor<5x7xf32>
          %arg1 = "tf.Const"() {value = dense<-3.0> : tensor<11x7xf32>} : () -> tensor<11x7xf32>
    
          %1 = "tf.MatMul"(%arg0, %arg1) {transpose_a = false, transpose_b = true} : (tensor<5x7xf32>, tensor<11x7xf32>) -> tensor<5x11xf32>
    
          func.return %1 : tensor<5x11xf32>
        }
      })";
      TF_ASSERT_OK_AND_ASSIGN(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Jun 13 23:59:33 UTC 2024
    - 16.1K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/quantize.mlir

    }
    
    // CHECK-LABEL: QuantizeConcat
    func.func @QuantizeConcat(tensor<1x2xf32>, tensor<1x2xf32>) -> tensor<2x2x!quant.uniform<u8:f32, 1.000000e-01:128>> {
    ^bb0(%arg0: tensor<1x2xf32>, %arg1: tensor<1x2xf32>):
      %0 = "tfl.concatenation"(%arg0, %arg1) {axis = 0 : i32, fused_activation_function = "NONE"} : (tensor<1x2xf32>, tensor<1x2xf32>) -> tensor<2x2xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 28 23:10:13 UTC 2024
    - 39.7K bytes
    - Viewed (0)
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