deleted simple examples

docker/Makefile

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-TAG = latest-compss-2.8-eddlgpu-1.1-python-3.6-v3
+TAG = latest-gpu
 PREFIX = registry.gitlab.bsc.es/ppc-bsc/software/deep-health-compss
 IMAGE = compss-eddl
 

docker/pyeddl/eddl_master_train_batch.py

@@ -157,7 +157,7 @@ if __name__ == "__main__":
     parser.add_argument("--num_workers", type=int, metavar="INT", default=4) # Number of computing units to divide the execution
     parser.add_argument("--num_epochs", type=int, metavar="INT", default=10) # Number of epochs to run the training
     parser.add_argument("--workers_batch_size", type=int, metavar="INT", default=250) # Size of each batch of the training phase
-    parser.add_argument("--gpu", type=bool, metavar="BOOL", default=True) # True: Use GPU as CS --- False: Use CPU as CS
+    parser.add_argument("--gpu", type=bool, metavar="BOOL", default=False) # True: Use GPU as CS --- False: Use CPU as CS
     parser.add_argument("--sync_type", type=int, metavar="INT", default=0) # 0: synchronous --- 1: asynchronous --- 2: fully asynchronous
 
     main(parser.parse_args(sys.argv[1:]))

docker/pyeddl/simple_examples/runcompss.sh

-#!/bin/bash
-# If you want to execute test python example
-#runcompss --resources=/var/local/compss_conf/resources.xml --project=/var/local/compss_conf/project.xml --master_name=10.1.54-38 /tutorial_apps-stable/python/simple/src/simple.py 5
-# If you want to execute pyddl in k8s
-#source get_pods_ip.sh
-#masterIP=(${Nodes[2]})
-echo "MasterIP is:" $MY_POD_IP
-conda run --no-capture-output -n pyeddl_pycompss_env runcompss --lang=python --python_interpreter=python3 --project=/root/project.xml --resources=/root/resources.xml --master_name=$MY_POD_IP simple1.py

docker/pyeddl/simple_examples/simple1.py

-
-"""\
-SIMPLE EXAMPLE
-"""
-from pycompss.api.api import compss_wait_on
-from pycompss.api.task import task
-from pycompss.api.parameter import *
-
-
-def f1(val):
-    return val + 1
-
-def f2(val):
-    return val + 2
-
-def f3(val):
-    return val + 3
-
-def f4(val1, val2, val3):
-    return val1 + val2 + val3
-
-if __name__ == "__main__":
-    val1 = f1(1)
-    val2 = f2(2)
-    val3 = f3(3)
-
-    sum = f4(val1, val2, val3)
-    print(sum)
\ No newline at end of file

docker/pyeddl/simple_examples/simple2.py

-
-"""\
-SIMPLE EXAMPLE
-"""
-from pycompss.api.api import compss_wait_on
-from pycompss.api.task import task
-from pycompss.api.parameter import *
-
-
-def f1(val):
-    return val + 1
-
-def f2(val):
-    return val + 2
-
-def f3(val):
-    return val + 3
-
-def f4(val1, val2, val3):
-    return val1 + val2 + val3
-
-if __name__ == "__main__":
-    val1 = f1(1)
-    val2 = f2(2)
-    val3 = f3(3)
-
-    sum = f4(val1, val2, val3)
-    print(sum)
\ No newline at end of file

docker/pyeddl/simple_examples/simple3.py

-
-"""\
-SIMPLE EXAMPLE
-"""
-from pycompss.api.api import compss_wait_on
-from pycompss.api.task import task
-from pycompss.api.parameter import *
-
-
-
-def increment(val):
-    return val + 1
-
-
-if __name__ == "__main__":
-    arr = [1,2,3,4,5]
-
-    for i in range(len(arr)):
-        arr[i] = increment(arr[i])
-    
-    print(arr)
-
-

docker/pyeddl/simple_examples/simple4.py

-
-"""\
-SIMPLE EXAMPLE
-"""
-
-import sys
-import numpy as np
-
-from pycompss.api.task import task
-from pycompss.api.parameter import *
-from pycompss.api.api import compss_wait_on
-
-
-def initialize_variables():
-    for matrix in [A, B, C]:
-        for i in range(MSIZE):
-            matrix.append([])
-            for j in range(MSIZE):
-                if matrix == C:
-                    block = np.array(np.zeros((BSIZE, BSIZE)),
-                                     dtype=np.double, copy=False)
-                else:
-                    block = np.array(np.random.random((BSIZE, BSIZE)),
-                                     dtype=np.double, copy=False)
-                mb = np.matrix(block, dtype=np.double, copy=False)
-                matrix[i].append(mb)
-
-
-# ## TASK SELECTION ## #
-
-def multiply(a, b, c):
-    c += a*b
-
-
-# ## MAIN PROGRAM ## #
-
-if __name__ == "__main__":
-
-    args = sys.argv[1:]
-
-    MSIZE = int(args[0])
-    BSIZE = int(args[1])
-
-    A = []
-    B = []
-    C = []
-
-    initialize_variables()
-
-    for i in range(MSIZE):
-        for j in range(MSIZE):
-            for k in range(MSIZE):
-                multiply(A[i][k], B[k][j], C[i][j])
-
-
-    for i in range(MSIZE):
-        for j in range(MSIZE):
-            print ("C" + str(i) + str(j) + "=" + str(C[i][j]))
\ No newline at end of file