6bi!fSrSSKrSSKJs Jr SSKJr SSK J r \ "S5"SS\55r g)zContains the Reshape layer.N)Layer) keras_exportzkeras.layers.ReshapecJ^\rSrSrSrU4SjrSrSrSrU4Sjr Sr U=r $) ReshapeaLayer that reshapes inputs into the given shape. Input shape: Arbitrary, although all dimensions in the input shape must be known/fixed. Use the keyword argument `input_shape` (tuple of integers, does not include the samples/batch size axis) when using this layer as the first layer in a model. Output shape: `(batch_size,) + target_shape` Example: >>> # as first layer in a Sequential model >>> model = tf.keras.Sequential() >>> model.add(tf.keras.layers.Reshape((3, 4), input_shape=(12,))) >>> # model.output_shape == (None, 3, 4), `None` is the batch size. >>> model.output_shape (None, 3, 4) >>> # as intermediate layer in a Sequential model >>> model.add(tf.keras.layers.Reshape((6, 2))) >>> model.output_shape (None, 6, 2) >>> # also supports shape inference using `-1` as dimension >>> model.add(tf.keras.layers.Reshape((-1, 2, 2))) >>> model.output_shape (None, 3, 2, 2) c F>[TU]"S0UD6 [U5Ulg)zCreates a `tf.keras.layers.Reshape` layer instance. Args: target_shape: Target shape. Tuple of integers, does not include the samples dimension (batch size). **kwargs: Any additional layer keyword arguments. N)super__init__tuple target_shape)selfr kwargs __class__s _/home/james-whalen/.local/lib/python3.13/site-packages/tf_keras/src/layers/reshaping/reshape.pyr Reshape.__init__<s" "6"!,/cH[U5nSRX5nSupE[U5H%upgUS:aUcUnM[SUS35eXG-nM' [R "U[ S9nUb!US:XdX-S:wa [U5eX-X%'U$X:wa [U5eU$)aeFind and replace a missing dimension in an output shape. This is a near direct port of the internal Numpy function `_fix_unknown_dimension` in `numpy/core/src/multiarray/shape.c` Args: input_shape: Shape of array being reshaped output_shape: Desired shape of the array with at most a single -1 which indicates a dimension that should be derived from the input shape. Returns: The new output shape with a -1 replaced with its computed value. Raises: ValueError: If the total array size of the output_shape is different than the input_shape, or more than one unknown dimension is specified. zNtotal size of new array must be unchanged, input_shape = {}, output_shape = {})NrzTThere must be at most one unknown dimension in output_shape. Received: output_shape=.)dtype)listformat enumerate ValueErrornpprodint) r input_shape output_shapemsgknownunknownindexdimoriginals r_fix_unknown_dimensionReshape._fix_unknown_dimensionGs(L)  228&3 !#L1JEQw?#G$@@L~QP  277;c2  zX-2 o%$,$5L ! S/ !rc"[R"U5R5nSUSS;a&US/nU[SUR55- nO'US/nX R USSUR5- n[R"U5$)Nrrc34# UHoS:waUOSv M g7f)Nr ).0ss r /Reshape.compute_output_shape..~s"0A1"W$&0As)tf TensorShapeas_listr r r')rrr s rcompute_output_shapeReshape.compute_output_shapeysnn[199; ;qr? "'N+L E"040A0A" L(N+L 77AB!2!2 L~~l++rc[R"U[R"U5S4UR-5n[R"5(d*UR UR UR55 U$)Nr)r0reshapeshaper executing_eagerly set_shaper3)rinputsresults rcall Reshape.callsaFRXXf%5a%8$:T=N=N$NO##%%   T66v||D E rc>SUR0n[TU] 5n[[ UR 55[ UR 55-5$)Nr )r r get_configdictritems)rconfig base_configrs rr?Reshape.get_configsI $"3"34g(* D**,-V\\^0DDEEr)r ) __name__ __module__ __qualname____firstlineno____doc__r r'r3r<r?__static_attributes__ __classcell__)rs@rrrs)> 00d ,FFrr) rInumpyrtensorflow.compat.v2compatv2r0tf_keras.src.engine.base_layerr tensorflow.python.util.tf_exportrrr rrrRsD"!!0:$%xFexF&xFr