tensorflow - You must feed a value for placeholder tensor 'c_1' with dtype float and shape [1] -
i read issue same problem, looks issue different. want freeze graph , use it.
here simple example how this. first, create session , save both checkpoint , graphdef:
a = tf.variable(tf.constant(1.), name='a') b = tf.variable(tf.constant(2.), name='b') c = tf.placeholder(tf.float32, shape =[1], name="c") add = tf.add(a, b, 'sum') add2 = tf.add(add, c, 'sum2') dir_path = "<full_path>/simple_store" tf.session() sess: tf.initialize_all_variables().run() sess.run([add2], feed_dict={c:[7.]}) tf.train.saver().save(sess, dir_path + "/" + 'simple.ckpt') tf.train.write_graph(graph_def=sess.graph.as_graph_def(), logdir=dir_path, name='simple_as_text.pb') then use bazel tool freezing such way:
../tensorflow/bazel-bin/tensorflow/python/tools/freeze_graph --input_graph=simple_store/simple_as_text.pb --input_checkpoint=simple_store/simple.ckpt --output_graph=simple_store/freeze_out.pb --output_node_names=sum2 then load freeze_out.pb in python , try run:
import tensorflow tf tensorflow.core.framework import graph_pb2, cost_graph_pb2 graph_def = graph_pb2.graphdef() d = none c = tf.placeholder(tf.float32, shape=[1], name="c") feed_dict = {c: [5.]} tf.session() session: print("load graph") open("<somepath>/simple_store/freeze_out.pb", "rb") f: graph_def.parsefromstring(f.read()) d = tf.import_graph_def(graph_def, return_elements=["sum2:0"], name='') print(session.run([d[0]], feed_dict=feed_dict)) and following error:
--------------------------------------------------------------------------- invalidargumenterror traceback (most recent call last) <ipython-input-3-6345b17fba3b> in <module>() 8 d = tf.import_graph_def(graph_def, return_elements=["sum2:0"], name='') 9 tf.initialize_all_variables().run() ---> 10 print(session.run([d[0]], feed_dict=feed_dict)) /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata) 370 try: 371 result = self._run(none, fetches, feed_dict, options_ptr, --> 372 run_metadata_ptr) 373 if run_metadata: 374 proto_data = tf_session.tf_getbuffer(run_metadata_ptr) /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata) 634 try: 635 results = self._do_run(handle, target_list, unique_fetches, --> 636 feed_dict_string, options, run_metadata) 637 finally: 638 # movers no longer used. delete them. /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) 706 if handle none: 707 return self._do_call(_run_fn, self._session, feed_dict, fetch_list, --> 708 target_list, options, run_metadata) 709 else: 710 return self._do_call(_prun_fn, self._session, handle, feed_dict, /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args) 726 except keyerror: 727 pass --> 728 raise type(e)(node_def, op, message) 729 730 def _extend_graph(self): invalidargumenterror: must feed value placeholder tensor 'c_1' dtype float , shape [1] [[node: c_1 = placeholder[dtype=dt_float, shape=[1], _device="/job:localhost/replica:0/task:0/cpu:0"]()]] caused op u'c_1', defined at: file "/usr/lib/python2.7/runpy.py", line 174, in _run_module_as_main "__main__", fname, loader, pkg_name) file "/usr/lib/python2.7/runpy.py", line 72, in _run_code exec code in run_globals file "/home/artem/.local/lib/python2.7/site-packages/ipykernel/__main__.py", line 3, in <module> app.launch_new_instance() file "/home/artem/.local/lib/python2.7/site-packages/traitlets/config/application.py", line 596, in launch_instance app.start() file "/home/artem/.local/lib/python2.7/site-packages/ipykernel/kernelapp.py", line 442, in start ioloop.ioloop.instance().start() file "/home/artem/.local/lib/python2.7/site-packages/zmq/eventloop/ioloop.py", line 162, in start super(zmqioloop, self).start() file "/home/artem/.local/lib/python2.7/site-packages/tornado/ioloop.py", line 887, in start handler_func(fd_obj, events) file "/home/artem/.local/lib/python2.7/site-packages/tornado/stack_context.py", line 275, in null_wrapper return fn(*args, **kwargs) file "/home/artem/.local/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events self._handle_recv() file "/home/artem/.local/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv self._run_callback(callback, msg) file "/home/artem/.local/lib/python2.7/site-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback callback(*args, **kwargs) file "/home/artem/.local/lib/python2.7/site-packages/tornado/stack_context.py", line 275, in null_wrapper return fn(*args, **kwargs) file "/home/artem/.local/lib/python2.7/site-packages/ipykernel/kernelbase.py", line 276, in dispatcher return self.dispatch_shell(stream, msg) file "/home/artem/.local/lib/python2.7/site-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell handler(stream, idents, msg) file "/home/artem/.local/lib/python2.7/site-packages/ipykernel/kernelbase.py", line 391, in execute_request user_expressions, allow_stdin) file "/home/artem/.local/lib/python2.7/site-packages/ipykernel/ipkernel.py", line 199, in do_execute shell.run_cell(code, store_history=store_history, silent=silent) file "/home/artem/.local/lib/python2.7/site-packages/ipython/core/interactiveshell.py", line 2705, in run_cell interactivity=interactivity, compiler=compiler, result=result) file "/home/artem/.local/lib/python2.7/site-packages/ipython/core/interactiveshell.py", line 2809, in run_ast_nodes if self.run_code(code, result): file "/home/artem/.local/lib/python2.7/site-packages/ipython/core/interactiveshell.py", line 2869, in run_code exec(code_obj, self.user_global_ns, self.user_ns) file "<ipython-input-3-6345b17fba3b>", line 8, in <module> d = tf.import_graph_def(graph_def, return_elements=["sum2:0"], name='') file "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/importer.py", line 274, in import_graph_def op_def=op_def) file "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2260, in create_op original_op=self._default_original_op, op_def=op_def) file "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1230, in __init__ self._traceback = _extract_stack() what did wrong? how should correct this?
the tf.import_graph_def() function maintains structure of imported graph, unless pass input_map argument.
in original graph passed freeze_graph, tensor named "sum2:0" depends on placeholder operation called "c" in same graph. when import frozen graph, tensorflow first imports node named "c"
when import frozen graph using tf.import_graph_def(), tensorflow first imports node named "c" in freeze_out.pb. however, because have created node named "c" in second program, imported node renamed "c_1" (an automatically generated unique name) , imported version of "sum_2" rewritten depend on "c_1". notably, not depend on placeholder feeding (which named "c").
there 2 solutions. more straightforward solution extract created placeholder imported graph, rather creating new one. can adding "c:0" list of return_elements:
graph_def = tf.graphdef() open("<somepath>/simple_store/freeze_out.pb", "rb") f: graph_def.parsefromstring(f.read()) # extract placeholder "c" imported graph. c, d = tf.import_graph_def(graph_def, return_elements=["c:0", "sum2:0"]) tf.session() session: print(session.run([d[0]], feed_dict={c: [5.]})) alternatively, can remap placeholder in imported graph use placeholder in new graph. (there not point in doing substitution, can useful when new graph more complex , includes new preprocessing, example.) uses input_map argument tf.import_graph_def():
graph_def = tf.graphdef() # create new placeholder map imported graph. # (n.b. has no advantage, useful if `c` more interesting # function.) c = tf.placeholder(tf.float32, shape=[1], name="c") feed_dict = {c: [5.]} open("<somepath>/simple_store/freeze_out.pb", "rb") f: graph_def.parsefromstring(f.read()) # remap placeholder in imported graph use placeholder created # above. notice syntax feed_dict, performs static # remapping of 1 tensor @ graph construction time. d = tf.import_graph_def(graph_def, input_map={"c:0": c}, return_elements=["sum2:0"]) tf.session() session: print(session.run([d[0]], feed_dict={c: [5.]}))
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