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print stderr #1

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59b01e7
print stderr
lp200 Jul 30, 2018
016888b
Update utils_elf.py
lp200 Jul 30, 2018
7ceec77
Update model_loader.py
lp200 Jul 30, 2018
7adaf5e
Update model_loader.py
lp200 Jul 30, 2018
1c895d3
Update utils_elf.py
lp200 Jul 30, 2018
b6fc803
Update df_console.py
lp200 Jul 30, 2018
897e3e5
Update df_console.py
lp200 Jul 30, 2018
c863446
Update df_console.py
lp200 Jul 30, 2018
65d761d
Update df_console.py
lp200 Jul 30, 2018
56d1c6d
Update console_lib.py
lp200 Jul 31, 2018
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2 changes: 1 addition & 1 deletion scripts/elfgames/go/console_lib.py
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Original file line number Diff line number Diff line change
Expand Up @@ -334,7 +334,7 @@ def check_player(self, batch, player):
return True, None

def print_msg(self, ret, msg):
print("\n%s %s\n\n" % (("=" if ret else "?"), msg))
print("%s %s\n" % (("=" if ret else "?"), msg))

def prompt(self, prompt_str, batch):
# Show last command results.
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10 changes: 6 additions & 4 deletions scripts/elfgames/go/df_console.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,17 +9,19 @@
import os
import sys

sys.path.append( os.path.expanduser('~/anaconda3/lib/python3.6/site-packages') )

import torch

from console_lib import GoConsoleGTP
from rlpytorch import Evaluator, load_env


def main():
# print('Python version:', sys.version)
# print('PyTorch version:', torch.__version__)
# print('CUDA version', torch.version.cuda)
# print('Conda env:', os.environ.get("CONDA_DEFAULT_ENV", ""))
print('Python version:', sys.version, file=sys.stderr)
print('PyTorch version:', torch.__version__, file=sys.stderr)
print('CUDA version', torch.version.cuda, file=sys.stderr)
print('Conda env:', os.environ.get("CONDA_DEFAULT_ENV", ""), file=sys.stderr)

additional_to_load = {
'evaluator': (
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6 changes: 3 additions & 3 deletions src_py/elf/utils_elf.py
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Expand Up @@ -34,7 +34,7 @@ def _alloc(p, gpu, use_numpy=True):
type_name = p.field().type_name()
sz = p.field().sz().vec()

# print(name, type_name, sz)
print(name, type_name, sz, file=sys.stderr)

if not use_numpy:
v = Allocator.torch_types[type_name](*sz)
Expand Down Expand Up @@ -63,7 +63,7 @@ def spec2batches(ctx, batchsize, spec, gpu, use_numpy=False, num_recv=1):
idx2name = dict()

for name, v in spec.items():
# print("%s: %s" % (name, v))
print("%s: %s" % (name, v), file=sys.stderr)
# TODO this might not good since it changes the input.
if "input" not in v or v["input"] is None:
v["input"] = []
Expand All @@ -74,7 +74,7 @@ def spec2batches(ctx, batchsize, spec, gpu, use_numpy=False, num_recv=1):
this_batchsize = v.get("batchsize", batchsize)

keys = list(set(v["input"] + v["reply"]))
# print("SharedMem: \"%s\", keys: %s" % (name, str(keys)))
print("SharedMem: \"%s\", keys: %s" % (name, str(keys)), file=sys.stderr)

smem_opts = ctx.createSharedMemOptions(name, this_batchsize)
smem_opts.setTimeout(v.get("timeout_usec", 0))
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3 changes: 2 additions & 1 deletion src_py/rlpytorch/model_loader.py
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Expand Up @@ -10,6 +10,7 @@
import time
import torch
import warnings
import sys

from elf.options import import_options, PyOptionSpec
from elf import logging
Expand All @@ -25,7 +26,7 @@
def load_module(mod):
"""Load a python module."""
module = importlib.import_module(mod)
# print(module, mod)
print(module, mod, file=sys.stderr)
return module


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