}
    }
  }
}
node {
  name: "Placeholder"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "shape"
    value {
      shape {
        dim {
          size: -1
        }
        dim {
          size: 2
        }
      }
    }
  }
}
node {
  name: "Placeholder_1"
  op: "Placeholder"
  attr {
    key: "dtype"

# RUN: tf_tfl_translate -tf-input-arrays=Placeholder,Placeholder_1 -tf-input-shapes=2,5,3:3,7 -tf-input-data-types=DT_FLOAT,DT_FLOAT -tf-output-arrays=MatMul -unfold_batchmatmul=true -output-mlir %s -o - 2>&1 | FileCheck %s

node {
  name: "Placeholder"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "shape"
    value {
      shape {
        dim {
          size: 2
        }

Michael Osipov <******@****.***> 1626731150 +0200

Guillaume Nodet <******@****.***> 1686839096 +0200

# RUN: tf_tfl_translate -unfold_batchmatmul=false -tf-input-arrays=Placeholder,Placeholder_1 -tf-input-shapes=2,5,3:3,7 -tf-input-data-types=DT_FLOAT,DT_FLOAT -tf-output-arrays=MatMul -output-mlir %s -o - 2>&1 | FileCheck %s

node {
  name: "Placeholder"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_FLOAT
    }
  }
  attr {
    key: "shape"
    value {
      shape {
        dim {
          size: 2

# that.
#CHECK: func private @identity_function0(%arg0: tensor<i32>) -> tensor<i32>

node {
  name: "Placeholder"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_BOOL
    }
  }
  experimental_debug_info {
  }
}
node {
  name: "Placeholder_1"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  experimental_debug_info {

# CHECK-SAME: then_branch.ping = "ack"

node {
  name: "Placeholder"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  attr {
    key: "shape"
    value {
      shape {
        unknown_rank: true
      }
    }
  }
}
node {
  name: "Placeholder_1"
  op: "Placeholder"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }

    }

    static String getVersion(String json, String placeHolder) {
        Type type = new TypeToken<Map<String, String>>() {}.getType();
        Map<String, String> map = new Gson().fromJson(json, type);
        String version = map.get("version");
        if (version == null) {
            throw new GradleException("There is currently no version information available for '" + placeHolder + "'.");
        }
        return version;
    }

  Status EmitErrorWithLocationStr(const Node& node, const Status& error_status);

  // Inserts a placeholder node in the graph to replace a feed output tensor,
  // and returns the new placeholder node and a boolean indicating if the
  // original input node was removed from the graph. Uses of the feed output
  // tensor are replaced with this placeholder node. If the feed output tensor

[[sec:filtering_files]]
== Filtering file content

Filtering file content in Gradle involves replacing placeholders or tokens in files with dynamic values.

=== Using `CopySpec.filter()`