added skeleton files to tensorflow frontend.

ivy/functional/frontends/tensorflow/__init__.py

@@ -1,3 +1,30 @@
 # flake8: noqa
-from . import functions
-from .functions import *
+# flake8: noqa
+from . import activations
+from .activations import *
+from . import layers
+from .layers import *
+from . import linalg
+from .linalg import *
+from . import math
+from .math import *
+from . import metrics
+from .metrics import *
+from . import nest
+from .nest import *
+from . import nn
+from .nn import *
+from . import quantization
+from .quantization import *
+from . import random
+from .random import *
+from . import raw_ops
+from .raw_ops import *
+from . import regularizers
+from .regularizers import *
+from . import sets
+from .sets import *
+from . import signal
+from .signal import *
+from . import sparse
+from .sparse import *

ivy/functional/frontends/tensorflow/layers.py

@@ -0,0 +1,9 @@
+# global
+import ivy
+
+
+def add(x, y, name=None):
+    return ivy.add(x, y)
+
+
+add.unsupported_dtypes = {"torch": ("float16", "bfloat16")}

ivy/functional/frontends/tensorflow/math.py

@@ -0,0 +1,16 @@
+# global
+import ivy
+
+
+def add(x, y, name=None):
+    return ivy.add(x, y)
+
+
+add.unsupported_dtypes = {"torch": ("float16", "bfloat16")}
+
+
+def tan(x, name=None):
+    return ivy.tan(x)
+
+
+tan.unsupported_dtypes = {"torch": ("float16", "bfloat16")}

ivy/functional/frontends/tensorflow/raw_ops.py

@@ -0,0 +1,16 @@
+# global
+import ivy
+
+
+def concat(values, axis, name="concat"):
+    return ivy.concat(values, axis)
+
+
+concat.unsupported_dtypes = {"torch": ("float16", "bfloat16")}
+
+
+def fill(dims, value, name="full"):
+    return ivy.full(dims, value)
+
+
+fill.unsupported_dtypes = {"torch": ("float16", "bfloat16")}