Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 3 of 3 for 1x98x98x1xf32 (0.74 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/quantization/tensorflow/tests/optimize.mlir 

      %9 = "tf.AddV2"(%8, %cst_6) : (tensor<1x98x98x1xf32>, tensor<1xf32>) -> tensor<1x98x98x1xf32>
  %10 = "tf.Mul"(%9, %cst_5) : (tensor<1x98x98x1xf32>, tensor<1xf32>) -> tensor<1x98x98x1xf32>
  %11 = "tf.AddV2"(%10, %cst_8) : (tensor<1x98x98x1xf32>, tensor<f32>) -> tensor<1x98x98x1xf32>
  %12 = "tf.Floor"(%11) : (tensor<1x98x98x1xf32>) -> tensor<1x98x98x1xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 8.1K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/keras.py 

      return model


class TestModule(tf.Module):

  def __init__(self):
    super(TestModule, self).__init__()
    self.model = mnist_model()

  # CHECK: func {{@[a-zA-Z_0-9]+}}(%arg0: tensor<1x28x28x1xf32> {tf._user_specified_name = "x", tf_saved_model.index_path = [0]}
  # CHECK: attributes {{.*}} tf_saved_model.exported_names = ["my_predict"]
  @tf.function(input_signature=[
      tf.TensorSpec([1, 28, 28, 1], tf.float32),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Sep 28 21:37:05 UTC 2021
    - 1.7K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir 

      %4 = mhlo.reshape %3 : (tensor<1x8x8x1xf32>) -> tensor<8x8xf32>
  %5 = "mhlo.broadcast_in_dim"(%4) <{broadcast_dimensions = dense<[1, 2]> : tensor<2xi64>}> : (tensor<8x8xf32>) -> tensor<4x8x8x8xf32>
  %6 = mhlo.divide %2, %5 : tensor<4x8x8x8xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed May 29 07:26:59 UTC 2024
    - 340.2K bytes
    - Viewed (0)
Back to top