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[FRONTEND][TENSORFLOW] bug fix for tensorflow official slim models. #2864

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Mar 30, 2019
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[FRONTEND][TENSORFLOW] bug fix for tensorflow official slim models. #2864

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[FRONTEND][TENSORFLOW] bug fix for tensorflow official slim models.
srkreddy1238 Mar 20, 2019
47e83b3
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srkreddy1238 Mar 22, 2019
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32 changes: 15 additions & 17 deletions python/tvm/relay/frontend/tensorflow.py
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Original file line number Diff line number Diff line change
Expand Up @@ -530,25 +530,23 @@ def _impl(inputs, attr, params):
op_name="reshape",
extras={'newshape':tuple(shape_arg.asnumpy())},
ignores=['Tshape'])(inputs, attr)
except KeyError:
except AttributeError:
# Shape operator is already pruned, hence
# try to infer shape by precompute prune if possible.
if all(in_node in params for in_node in inputs[1].list_input_names()):
func = _expr.Function(ir_pass.free_vars(inputs[1]), inputs[1])
with tvm.relay.build_config(opt_level=0):
graph, lib, params = tvm.relay.build(func, target="llvm", params=params)
ctx = tvm.context("llvm", 0)
from tvm.contrib import graph_runtime
m = graph_runtime.create(graph, lib, ctx)
m.set_input(**params)
m.run()
params_new = m.get_output(0)
inputs.pop(1)
return AttrCvt(
op_name="reshape",
extras={'newshape':tuple(params_new.asnumpy().flatten())},
ignores=['Tshape'])(inputs, attr)
raise RuntimeError("Reshape with dynamic shape input not supported yet.")
func = _expr.Function(ir_pass.free_vars(inputs[1]), inputs[1])
with tvm.relay.build_config(opt_level=0):
graph, lib, params = tvm.relay.build(func, target="llvm", params=params)
ctx = tvm.context("llvm", 0)
from tvm.contrib import graph_runtime
m = graph_runtime.create(graph, lib, ctx)
m.set_input(**params)
m.run()
params_new = m.get_output(0)
inputs.pop(1)
return AttrCvt(
op_name="reshape",
extras={'newshape':tuple(params_new.asnumpy().astype('int64').flatten())},
ignores=['Tshape'])(inputs, attr)
return _impl

def _bias_add():
Expand Down