while running the code of prateek sir for generating fake images using gans a error raised :
InternalError Traceback (most recent call last)
in
20 #Fake Data X
21 noise = np.random.normal(0,1,size=(HALF_BATCH,NOISE_DIM))
—> 22 fake_imgs = generator.predict(noise) #Forward
23
24
~\Anacondanew\lib\site-packages\keras\engine\training.py in predict(self, x, batch_size, verbose, steps, callbacks, max_queue_size, workers, use_multiprocessing)
1460 verbose=verbose,
1461 steps=steps,
-> 1462 callbacks=callbacks)
1463
1464 def train_on_batch(self, x, y,
~\Anacondanew\lib\site-packages\keras\engine\training_arrays.py in predict_loop(model, f, ins, batch_size, verbose, steps, callbacks)
322 batch_logs = {‘batch’: batch_index, ‘size’: len(batch_ids)}
323 callbacks._call_batch_hook(‘predict’, ‘begin’, batch_index, batch_logs)
–> 324 batch_outs = f(ins_batch)
325 batch_outs = to_list(batch_outs)
326 if batch_index == 0:
~\Anacondanew\lib\site-packages\tensorflow_core\python\keras\backend.py in call(self, inputs)
3738 value = math_ops.cast(value, tensor.dtype)
3739 converted_inputs.append(value)
-> 3740 outputs = self._graph_fn(*converted_inputs)
3741
3742 # EagerTensor.numpy() will often make a copy to ensure memory safety.
~\Anacondanew\lib\site-packages\tensorflow_core\python\eager\function.py in call(self, *args, **kwargs)
1079 TypeError: For invalid positional/keyword argument combinations.
1080 “”"
-> 1081 return self._call_impl(args, kwargs)
1082
1083 def _call_impl(self, args, kwargs, cancellation_manager=None):
~\Anacondanew\lib\site-packages\tensorflow_core\python\eager\function.py in _call_impl(self, args, kwargs, cancellation_manager)
1119 raise TypeError(“Keyword arguments {} unknown. Expected {}.”.format(
1120 list(kwargs.keys()), list(self._arg_keywords)))
-> 1121 return self._call_flat(args, self.captured_inputs, cancellation_manager)
1122
1123 def _filtered_call(self, args, kwargs):
~\Anacondanew\lib\site-packages\tensorflow_core\python\eager\function.py in _call_flat(self, args, captured_inputs, cancellation_manager)
1222 if executing_eagerly:
1223 flat_outputs = forward_function.call(
-> 1224 ctx, args, cancellation_manager=cancellation_manager)
1225 else:
1226 gradient_name = self._delayed_rewrite_functions.register()
~\Anacondanew\lib\site-packages\tensorflow_core\python\eager\function.py in call(self, ctx, args, cancellation_manager)
509 inputs=args,
510 attrs=(“executor_type”, executor_type, “config_proto”, config),
–> 511 ctx=ctx)
512 else:
513 outputs = execute.execute_with_cancellation(
~\Anacondanew\lib\site-packages\tensorflow_core\python\eager\execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
65 else:
66 message = e.message
—> 67 six.raise_from(core._status_to_exception(e.code, message), None)
68 except TypeError as e:
69 keras_symbolic_tensors = [
~\Anacondanew\lib\site-packages\six.py in raise_from(value, from_value)
InternalError: Blas GEMM launch failed : a.shape=(32, 100), b.shape=(100, 256), m=32, n=256, k=100
[[node dense_1/MatMul (defined at C:\Users\Dibakar Chaudhary\Anacondanew\lib\site-packages\tensorflow_core\python\framework\ops.py:1751) ]] [Op:__inference_keras_scratch_graph_390]
Function call stack:
keras_scratch_graph
