![]() ![]() RianceScaling._init_ (from _ops) with dtype is deprecated and will be removed in a future version.Ĭall initializer instance with the dtype argument instead of passing it to the constructor Y:291: dense (from ) is deprecated and will be removed in a future version. WARNING: Logging before flag parsing goes to stderr. MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:65:00.0, compute capability: 6.1) 17:58:43.186741: I tensorflow/core/common_runtime/gpu/gpu_:1082] Device interconnect StreamExecutor with strength 1 edge matrix: 17:58:43.181018: I tensorflow/stream_executor/platform/default/dso_:42] Successfully opened dynamic library libcudart.so.10.0 17:58:43.180913: I tensorflow/core/common_runtime/gpu/gpu_:1551] Found device 0 with properties: 17:58:43.180183: I tensorflow/compiler/xla/service/:168] XLA service 0x4cdb210 executing computations on platform Host. 17:58:43.157505: I tensorflow/compiler/xla/service/:175] StreamExecutor device (0): GeForce GTX 1080 Ti, Compute Capability 6.1 17:58:43.157452: I tensorflow/compiler/xla/service/:168] XLA service 0x50cbf50 executing computations on platform CUDA. 17:58:43.012348: I tensorflow/stream_executor/platform/default/dso_:42] Successfully opened dynamic library libcuda.so.1 17:58:42.998488: I tensorflow/core/platform/cpu_feature_:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AV #traceback.print_exc() Click here to see the corresponding errors Return model_forward, model_inverse def test1():īijector = permute construct_keras_bijector_models( bijector)īijector = realnvp construct_keras_bijector_models( bijector)Ĭonstruct_keras_bijector_models( bijector) Model( inputs = input_x, outputs = output_z) Output_z = BijectorInverse( bijector)( input_x) Model( inputs = input_z, outputs = output_x) Output_x = BijectorForward( bijector)( input_z) Return permute, realnvp def construct_keras_bijector_models( bijector): Num_masked = dim_z // 2, shift_and_log_scale_fn = additive_cf, is_constant_jacobian = True) bijector = bijector def call( self, input): Import tensorflow as tf import tensorflow_probability as tfp import tensorflow_datasets as tfds tf. ![]()
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