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Results 1 - 10 of 161 for tfdtype (0.11 sec)

  1. tensorflow/compiler/mlir/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir

    //   %cst_2 = "tf.Const"() {value = dense<[0.3, 0.4, 0.3, 0.4, 0.3, 0.4, 0.3, 0.4]> : tensor<8xf32>} : () -> tensor<8xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Apr 08 20:05:12 UTC 2024
    - 13.6K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir

       // OK
       %0 = "tf.Conv2D"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32>
       // Unsupported data format
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 59.8K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir

      %0 = "tf.BiasAdd"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC"} : (tensor<1x10x10x32xf32>, tensor<32xf32>) -> tensor<1x10x10x32xf32>
      func.return %0 : tensor<1x10x10x32xf32>
    // CHECK: %[[BIASADD_0:.*]] = "tf.BiasAdd"(%arg0, %arg1) <{data_format = "NHWC"}> {T = "tfdtype$DT_FLOAT"} : (tensor<1x10x10x32xf32>, tensor<32xf32>) -> tensor<1x10x10x32xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 5.8K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir

      %1:5 = "tf.PartitionedCall"(%arg0, %arg1, %arg2, %arg3, %arg4, %arg5) {Tin = ["tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT"], Tout = ["tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT", "tfdtype$DT_FLOAT"], _output_shapes = ["tfshape$dim { size: 9 } dim {...
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 122.1K bytes
    - Viewed (0)
  5. tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir

    // CHECK-SAME:  (%[[VAR_HANDLE:.*]]: tensor<*x!tf_type.resource>, %[[MS_HANDLE:.*]]: tensor<*x!tf_type.resource>, %[[MOM_HANDLE:.*]]: tensor<*x!tf_type.resource>,
    // CHECK-SAME:   %[[LR:.*]]: tensor<f32>, %[[RHO:.*]]: tensor<f32>, %[[MOMENTUM:.*]]: tensor<f32>, %[[EPSILON:.*]]: tensor<f32>, %[[GRAD:.*]]: tensor<f32>)
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 22 19:47:48 UTC 2024
    - 51.3K bytes
    - Viewed (0)
  6. tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir

    func.func @packStringWithFlex(%arg0: tensor<2x!tf_type.string>, %arg1: tensor<2x!tf_type.string>) -> tensor<2x2x!tf_type.string> {
      %0 = "tf.Pack"(%arg0, %arg1) : (tensor<2x!tf_type.string>, tensor<2x!tf_type.string>) -> tensor<2x2x!tf_type.string>
      func.return %0 : tensor<2x2x!tf_type.string>
    
    // CHECK-LABEL: packStringWithFlex
    // CHECK: "tf.Pack"(%arg0, %arg1) : (tensor<2x!tf_type.string>, tensor<2x!tf_type.string>) -> tensor<2x2x!tf_type.string>
    }
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 05 01:54:33 UTC 2024
    - 153.4K bytes
    - Viewed (0)
  7. tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir

      %fq = "tf.FakeQuantWithMinMaxVars"(%in, %mini, %maxi) {num_bits = 3, narrow_range = false} : (tensor<3x3x3x16xf32>, tensor<f32>, tensor<f32>) -> tensor<3x3x3x16xf32>
      %rst = "tf.Conv2D"(%arg, %fq) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32>
      func.return %rst : tensor<256x8x7x16xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 22K bytes
    - Viewed (0)
  8. tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir

      %fq = "tf.FakeQuantWithMinMaxVars"(%in, %mini, %maxi) {num_bits = 5, narrow_range = false} : (tensor<3x3x3x16xf32>, tensor<f32>, tensor<f32>) -> tensor<3x3x3x16xf32>
      %rst = "tf.Conv2D"(%arg, %fq) {T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x16xf32>) -> tensor<256x8x7x16xf32>
      func.return %rst : tensor<256x8x7x16xf32>
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 20.4K bytes
    - Viewed (0)
  9. tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir

      %0 = "tf.BiasAdd"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", data_format = "NHWC"} : (tensor<1x10x10x32xf32>, tensor<32xf32>) -> tensor<1x10x10x32xf32>
      func.return %0 : tensor<1x10x10x32xf32>
    // CHECK: %[[BIASADD_0:.*]] = "tf.BiasAdd"(%arg0, %arg1) <{data_format = "NHWC"}> {T = "tfdtype$DT_FLOAT"} : (tensor<1x10x10x32xf32>, tensor<32xf32>) -> tensor<1x10x10x32xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu May 02 09:41:17 UTC 2024
    - 13.4K bytes
    - Viewed (0)
  10. tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir

    // tf.Max when using quantized integer types.
    func.func @max_qint(%arg0: tensor<4x8x!tf_type.qint8>) -> tensor<4x1x!tf_type.qint8> {
      %dimension = "tf.Const"() { value = dense<1> : tensor<1xi64> } : () -> tensor<1xi64>
      %0 = "tf.Max"(%arg0, %dimension) { keep_dims = true }: (tensor<4x8x!tf_type.qint8>, tensor<1xi64>) -> tensor<4x1x!tf_type.qint8>
      func.return %0 : tensor<4x1x!tf_type.qint8>
    }
    
    // -----
    
    // CHECK-LABEL: func @max_dynamic
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
    - Viewed (0)
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