I searhed but can’t find anything
please help me with it
ValueError Traceback (most recent call last)
in
----> 1 conv_model = convolutional_model((64, 64, 3))
2 conv_model.compile(optimizer=‘adam’,
3 loss=‘categorical_crossentropy’,
4 metrics=[‘accuracy’])
5 conv_model.summary()
in convolutional_model(input_shape)
37 # YOUR CODE STARTS HERE
38 Z1=tfl.Conv2D(filters=8,kernel_size=4,strides=1,padding=‘same’,input_shape=“input_img”)
—> 39 A1=tfl.ReLU()(Z1)
40 P1=tfl.MaxPool2D(pool_size=(8,8), strides=8, padding=‘same’)(A1)
41 Z2=tfl.Conv2D(16,2,strides=1,padding=‘same’)
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/engine/base_layer.py in call(self, *args, **kwargs)
983
984 with ops.enable_auto_cast_variables(self._compute_dtype_object):
→ 985 outputs = call_fn(inputs, *args, **kwargs)
986
987 if self._activity_regularizer:
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/layers/advanced_activations.py in call(self, inputs)
367 alpha=self.negative_slope,
368 max_value=self.max_value,
→ 369 threshold=self.threshold)
370
371 def get_config(self):
/opt/conda/lib/python3.7/site-packages/tensorflow/python/util/dispatch.py in wrapper(*args, **kwargs)
199 “”“Call target, and fall back on dispatchers if there is a TypeError.”“”
200 try:
→ 201 return target(*args, **kwargs)
202 except (TypeError, ValueError):
203 # Note: convert_to_eager_tensor currently raises a ValueError, not a
/opt/conda/lib/python3.7/site-packages/tensorflow/python/keras/backend.py in relu(x, alpha, max_value, threshold)
4562 clip_max = False
4563 else:
→ 4564 x = nn.relu(x)
4565
4566 if clip_max:
/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/gen_nn_ops.py in relu(features, name)
10421 try:
10422 return relu_eager_fallback(
10423 features, name=name, ctx=_ctx)
10424 except _core._SymbolicException:
10425 pass # Add nodes to the TensorFlow graph.
/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/gen_nn_ops.py in relu_eager_fallback(features, name, ctx)
10455
10456 def relu_eager_fallback(features, name, ctx):
10457 _attr_T, (features,) = _execute.args_to_matching_eager([features], ctx)
10458 _inputs_flat = [features]
10459 _attrs = (“T”, _attr_T)
/opt/conda/lib/python3.7/site-packages/tensorflow/python/eager/execute.py in args_to_matching_eager(l, ctx, default_dtype)
261 ret.append(
262 ops.convert_to_tensor(
→ 263 t, dtype, preferred_dtype=default_dtype, ctx=ctx))
264 if dtype is None:
265 dtype = ret[-1].dtype
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/ops.py in convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, dtype_hint, ctx, accepted_result_types)
1497
1498 if ret is None:
→ 1499 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
1500
1501 if ret is NotImplemented:
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
336 as_ref=False):
337 _ = as_ref
→ 338 return constant(v, dtype=dtype, name=name)
339
340
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py in constant(value, dtype, shape, name)
262 “”"
263 return _constant_impl(value, dtype, shape, name, verify_shape=False,
→ 264 allow_broadcast=True)
265
266
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py in _constant_impl(value, dtype, shape, name, verify_shape, allow_broadcast)
273 with trace.Trace(“tf.constant”):
274 return _constant_eager_impl(ctx, value, dtype, shape, verify_shape)
→ 275 return _constant_eager_impl(ctx, value, dtype, shape, verify_shape)
276
277 g = ops.get_default_graph()
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py in _constant_eager_impl(ctx, value, dtype, shape, verify_shape)
298 def _constant_eager_impl(ctx, value, dtype, shape, verify_shape):
299 “”“Implementation of eager constant.”“”
→ 300 t = convert_to_eager_tensor(value, ctx, dtype)
301 if shape is None:
302 return t
/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/constant_op.py in convert_to_eager_tensor(value, ctx, dtype)
96 dtype = dtypes.as_dtype(dtype).as_datatype_enum
97 ctx.ensure_initialized()
—> 98 return ops.EagerTensor(value, ctx.device_name, dtype)
99
100
ValueError: Attempt to convert a value (<tensorflow.python.keras.layers.convolutional.Conv2D object at 0x7fb41243a310>) with an unsupported type (<class ‘tensorflow.python.keras.layers.convolutional.Conv2D’>) to a Tensor.