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Results 1 - 5 of 5 for 2x1x13xf32 (0.44 sec)

  1. tensorflow/compiler/mlir/lite/stablehlo/tests/tf-tfl-translate-tf-quantize.mlir

    
    module {
    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    }
    
    //CHECK: module {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 18:33:43 UTC 2024
    - 1.1K bytes
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  2. tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-inplaceupdate.mlir

    func.func @tfInplaceUpdate(%arg0: tensor<2x1x2xf32>) -> tensor<2x1x2xf32> {
      %1 = arith.constant dense<1> : tensor<1xi32>
      %2 = arith.constant dense<2.0> : tensor<1x1x2xf32>
      %3 = "tf.InplaceUpdate"(%arg0, %1, %2) {device = ""}
        : (tensor<2x1x2xf32>, tensor<1xi32>, tensor<1x1x2xf32>) -> tensor<2x1x2xf32>
      func.return %3 : tensor<2x1x2xf32>
    }
    
    }
    
    // CHECK-LABEL: @tfInplaceUpdate
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Fri Dec 16 05:09:09 UTC 2022
    - 993 bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver_test.cc

          %cst_0 = arith.constant dense<1.0> : tensor<3x1x1x3xf32>
          %cst_1 = arith.constant dense<2.0> : tensor<3xf32>
          %0 = "tf.XlaCallModule"(%arg0, %cst_0, %cst_1) <{Sout = [#tf_type.shape<1x4x4x3>], module = "", version = 9 : i64}> {_entry_function = @composite_fn_1, _original_entry_function = "composite_fn_1", _tfl_quant_trait = "fully_quantizable"} : (tensor<1x4x4x3xf32>, tensor<3x1x1x3xf32>, tensor<3xf32>) -> tensor<1x4x4x3xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 7.9K bytes
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  4. tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/convert_func_to_bfloat16.mlir

          stablehlo.return %2 : tensor<f32>
      }) {padding = dense<[[0, 0], [1, 1], [1, 1], [0, 0]]> : tensor<4x2xi64>, window_dimensions = array<i64: 1, 3, 3, 1>} : (tensor<2x3x1x3xf32>, tensor<f32>) -> tensor<2x3x1x3xf32>
      return %1 : tensor<2x3x1x3xf32>
    }
    
    // -----
    
    // CHECK-LABEL: @bitcast_convert_i32_f32(%arg0: tensor<1x256128xi32>) -> tensor<1x256128xbf16>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 08 22:40:14 UTC 2024
    - 6K bytes
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  5. tensorflow/compiler/mlir/quantization/tensorflow/tests/cast_bf16_ops_to_f32.mlir

    // CHECK: return %[[identity]] : tensor<1x2x2x6xf32>
    
    func.func @cast_bf16_batch_matmul_v2_to_fp32(%arg0: tensor<1x1x10xf32>) -> (tensor<1x1x2xf32>) {
      %cst = "tf.Const"() {device = "", value = dense<1.000000e+01> : tensor<10x2xbf16>} : () -> tensor<10x2xbf16>
      %0 = "tf.Cast"(%arg0) {Truncate = false, device = ""} : (tensor<1x1x10xf32>) -> tensor<1x1x10xbf16>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 8.4K bytes
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