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Results 1 - 3 of 3 for training_ops (1.17 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/cc/ops/standard_ops.h 

    #include "tensorflow/cc/ops/random_ops.h"
#include "tensorflow/cc/ops/sparse_ops.h"
#include "tensorflow/cc/ops/state_ops.h"
#include "tensorflow/cc/ops/string_ops.h"
#include "tensorflow/cc/ops/training_ops.h"
#include "tensorflow/cc/ops/user_ops.h"
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jan 24 22:31:28 UTC 2018
    - 1.6K bytes
    - Viewed (0)
  3. github.com/tensorflow/tensorflow

    tensorflow/cc/BUILD 

            "lookup_ops",
        "manip_ops",
        "nn_ops",
        "no_op",
        "parsing_ops",
        "random_ops",
        "sparse_ops",
        "state_ops",
        "string_ops",
        "training_ops",
        "user_ops",
    ],
    other_hdrs = [
        "ops/array_ops.h",
        "ops/const_op.h",
        "ops/math_ops.h",
        "ops/dataset_ops.h",
        "ops/experimental_dataset_ops.h",
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Mar 27 18:00:18 UTC 2024
    - 23.5K bytes
    - Viewed (0)
  4. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc 

                                                feature_type};
      auto training_op = rewriter.create<BatchNormGradOp>(
          loc, operand_types, act, scale, mean, var, grad, op.getEpsilon(),
          feature_dim);

      x_backprop = training_op.getResult(0);

      scale_backprop = training_op.getResult(1);

      offset_backprop = training_op.getResult(2);
    } else {  // inference
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 11 20:00:43 UTC 2024
    - 291.8K bytes
    - Viewed (0)
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