Webb26 juli 2024 · y_out = tf.matmul (outputs, W) 其中,outputs的shape为 [16,336,400],W的shape为 [400,1] 出现以下报错: Shape must be rank 2 but is rank 3 for ‘MatMul’ (op: … Webb30 jan. 2024 · ValueError: Shapes must be equal rank, but are 1 and 0 From merging shape 1 with other shapes. for ' { {node AddN}} = AddN [N=3, T=DT_FLOAT] (mul_2, mul_5, …
Tensorflow : ValueError: Shapes must be equal rank, but …
Webb6 apr. 2024 · ValueError: Dimensions must be equal, but are 6 and 9 for '{{node Equal}} = Equal[T=DT_FLOAT, incompatible_shape_error=true](IteratorGetNext:1, Cast_1)' with input shapes: [?,6], [?,9] I'm trying to give a simple Keras network a group of 9 by 3 numpy arrays of integers with an intended output of a softmax on 6 categories, with a target being a … WebbCall 2: Identify key stakeholders and material ESG factors. Call 3: Identify material ESG factors. Guided Implementation 2: Streamline Requirements and Tool Selection. Call 1: Develop SMART program and risk metrics. Call 2: Discuss reporting obligations. Call 3: Surface high-level data gaps. Call 4: Review high-level implementation considerations. clare checksfield
ValueError: Shapes must be equal rank, but are 1 and 2
Webb24 okt. 2024 · After update TensorFlow 1.14 to 2.0 and use tf.keras instead of keras, when using fpn_classifier_graph I get: ValueError: Tried to convert 'shape' to a tensor and failed. Error: None values not supported. File "D:\project\project.py", li... This op requires that both a and b are matrices (tensor with rank >=2). In your case, you're multiplying x1 that's defined like x1 = tf.placeholder (tf.float32, shape= []) and Wo1 that's defined like Wo1 = weight_variable ( [20,1]) As you can see, x1 is not a matrix but is, instead, a scalar (a tensor whose shape is [] ). downloadable ambient music