| /external/tensorflow/tensorflow/python/eager/ |
| D | benchmarks_test.py | 86 def _run(self, func, num_iters): argument
90 for _ in xrange(num_iters):
93 mean_us = (end - start) * 1e6 / num_iters
94 self.report_benchmark(iters=num_iters, wall_time=mean_us,
95 extras={"examples_per_sec": num_iters/(end-start)})
153 def _benchmark_np_multiply(self, m, num_iters): argument
156 self._run(func, num_iters)
158 def _benchmark_tf_multiply(self, m, num_iters): argument
160 self._run(func, num_iters)
162 def _benchmark_tf_multiply_op(self, m, num_iters): argument
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | decode_jpeg_op_test.py | 44 num_iters, argument
111 for _ in xrange(num_iters):
117 num_iters = 10
121 num_iters)
123 num_iters, False, crop_window)
125 'small.jpg', parallelism, num_iters, True, crop_window)
128 iters=num_iters,
132 iters=num_iters,
136 iters=num_iters,
141 num_iters = 10
[all …]
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| D | parameterized_truncated_normal_op_test.py | 187 def parameterized_vs_naive(shape, num_iters, use_gpu=False): argument
205 param_dt = timeit.timeit(lambda: sess.run(param_op), number=num_iters)
208 naive_dt = timeit.timeit(lambda: sess.run(naive_op), number=num_iters)
221 num_iters = 50
223 "naive TruncatedNormalOp [%d iters]") % num_iters)
228 p_dt, n_dt = parameterized_vs_naive(shape, num_iters, use_gpu)
234 iters=num_iters,
237 name="naive_shape" + shape_str, iters=num_iters, wall_time=n_dt)
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| D | sparse_add_op_test.py | 213 def _s2d_add_vs_sparse_add(sparsity, n, m, num_iters=50): argument
228 s2d_total = timeit.timeit(lambda: sess.run(s2d), number=num_iters)
229 sa_total = timeit.timeit(lambda: sess.run(sa), number=num_iters)
232 return s2d_total * 1e3 / num_iters, sa_total * 1e3 / num_iters
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| /external/eigen/bench/tensors/ |
| D | tensor_benchmarks.h | 36 void memcpy(int num_iters) { in memcpy() argument
39 for (int iter = 0; iter < num_iters; ++iter) { in memcpy()
43 finalizeBenchmark(static_cast<int64_t>(m_) * m_ * num_iters); in memcpy()
46 void typeCasting(int num_iters) { in typeCasting() argument
60 for (int iter = 0; iter < num_iters; ++iter) { in typeCasting()
64 finalizeBenchmark(static_cast<int64_t>(m_) * k_ * num_iters); in typeCasting()
67 void random(int num_iters) { in random() argument
75 for (int iter = 0; iter < num_iters; ++iter) { in random()
79 finalizeBenchmark(static_cast<int64_t>(m_) * m_ * num_iters); in random()
82 void slicing(int num_iters) { in slicing() argument
[all …]
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| /external/tensorflow/tensorflow/python/ops/ |
| D | transpose_benchmark.py | 34 def build_graph(device, input_shape, perm, datatype, num_iters): argument
55 for _ in range(1, num_iters):
65 def _run_graph(self, device, input_shape, perm, num_iters, datatype): argument
80 outputs = build_graph(device, input_shape, perm, datatype, num_iters)
88 duration = (time.time() - start_time) / num_iters
94 str(perm).replace(" ", ""), num_iters, duration, throughput))
105 iters=num_iters,
129 num_iters = 40
132 self._run_graph("gpu", ishape, perm, num_iters, datatype)
137 self._run_graph("gpu", ishape, perm, num_iters, datatype)
[all …]
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| D | matmul_benchmark.py | 67 def run_graph(self, device, n, m, k, transpose_a, transpose_b, num_iters, argument
92 for _ in range(num_iters):
96 throughput = num_items * num_iters / duration / 1e9
99 ',ta:' + str(transpose_a) + '.tb:' + str(transpose_b), num_iters,
110 iters=num_iters,
114 def run_test_gpu(self, n, m, k, transpose_a, transpose_b, dtype, num_iters): argument
116 num_iters, dtype)
118 def test_round(self, num_iters): argument
125 self.run_test_gpu(n, m, k, transpose_a, transpose_b, dtype, num_iters)
130 self.run_test_gpu(n, m, k, transpose_a, transpose_b, dtype, num_iters)
[all …]
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| D | concat_benchmark.py | 82 num_iters): argument
108 for _ in range(num_iters):
113 num_inputs, axis, grad, duration / num_iters,
115 100 / (duration / num_iters) / 1e9))
128 iters=num_iters))
138 num_iters = [10] * len(shapes)
140 for shape, iters in zip(shapes, num_iters):
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| D | conv2d_benchmark.py | 35 num_iters, warmup_iters): argument
62 for _ in range(1, num_iters):
85 dtype, num_iters, warmup_iters): argument
107 strides, padding, dtype, num_iters,
116 duration = (time.time() - start_time) / num_iters
121 str(strides).replace(" ", ""), padding, num_iters, duration))
135 iters=num_iters,
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| D | batch_norm_benchmark.py | 127 train, num_iters): argument
151 for _ in range(num_iters):
156 duration / num_iters))
172 iters=num_iters,
173 wall_time=duration / num_iters)
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/ |
| D | rnn_ptb_graph_test.py | 65 def _report(self, label, start, num_iters, device, batch_size): argument
66 wall_time = (time.time() - start) / num_iters
71 iters=num_iters,
79 num_iters = 100
84 dtype=tf.int64)).repeat(num_iters + num_warmup)
97 for _ in range(num_iters):
99 self._report(label, start, num_iters,
119 num_iters = 100
124 dtype=tf.int64)).repeat(num_iters + num_warmup)
141 for _ in range(num_iters):
[all …]
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| D | rnn_ptb_test.py | 63 def _report(self, label, start, num_iters, dev, batch_size): argument
64 wall_time = (time.time() - start) / num_iters
69 iters=num_iters,
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| /external/tensorflow/tensorflow/contrib/fused_conv/python/ops/ |
| D | fused_conv2d_bias_activation_benchmark.py | 33 padding, num_iters, data_format): argument
67 for _ in range(1, num_iters):
78 padding, num_iters, data_format): argument
116 for _ in range(1, num_iters):
135 num_iters, data_format): argument
158 num_iters, data_format)
166 duration = (time.time() - start_time) / num_iters
172 num_iters, duration))
184 iters=num_iters,
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| D | mnist_graph_test.py | 77 def _report(self, test_name, start, num_iters, batch_size): argument
78 avg_time = (time.time() - start) / num_iters
84 iters=num_iters, wall_time=avg_time, name=name, extras=extras)
104 num_burn, num_iters = (3, 100)
116 for _ in range(num_iters):
122 self._report('train', start, num_iters, batch_size)
137 num_burn, num_iters = (30, 1000)
142 for _ in range(num_iters):
147 self._report('generate', start, num_iters, batch_size)
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| D | mnist_test.py | 45 def _report(self, test_name, start, num_iters, batch_size): argument
46 avg_time = (time.time() - start) / num_iters
52 iters=num_iters, wall_time=avg_time, name=name, extras=extras)
97 num_burn, num_iters = (30, 1000)
104 for _ in range(num_iters):
108 self._report('generate', start, num_iters, batch_size)
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
| D | resnet50_graph_test.py | 105 def _report(self, label, start, num_iters, batch_size): argument
106 avg_time = (time.time() - start) / num_iters
111 iters=num_iters, wall_time=avg_time, name=name, extras=extras)
125 num_burn, num_iters = (3, 30)
129 for _ in range(num_iters):
134 self._report('apply', start, num_iters, batch_size)
153 (num_burn, num_iters) = (5, 10)
157 for _ in range(num_iters):
159 self._report('train', start, num_iters, batch_size)
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| D | resnet50_test.py | 171 def _report(self, label, start, num_iters, device, batch_size, data_format): argument
172 avg_time = (time.time() - start) / num_iters
177 iters=num_iters, wall_time=avg_time, name=name, extras=extras)
193 num_iters = 30
200 for _ in xrange(num_iters):
202 self._report(label, start, num_iters, device, batch_size, data_format)
215 num_iters = 10
230 for _ in xrange(num_iters):
234 self._report(label, start, num_iters, device, batch_size, data_format)
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| /external/tensorflow/tensorflow/contrib/factorization/python/kernel_tests/ |
| D | masked_matmul_benchmark.py | 62 def _run_graph(self, a_shape, b_shape, nnz, num_iters, sort=False, argument
98 for _ in range(num_iters):
107 avg_wall_time += (time.time() - start_time)/num_iters
124 iters=num_iters,
131 num_iters = 10
139 self._run_graph(a_shape, b_shape, nnz, num_iters, sort, transpose_a,
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| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| D | multinomial_op_test.py | 212 def native_op_vs_composed_ops(batch_size, num_classes, num_samples, num_iters): argument
228 native_dt = timeit.timeit(lambda: sess.run(native_op), number=num_iters)
229 composed_dt = timeit.timeit(lambda: sess.run(composed_op), number=num_iters)
236 num_iters = 50
238 num_iters)
246 num_samples, num_iters)
254 iters=num_iters,
259 iters=num_iters,
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| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| D | kmeans_test.py | 468 def _report(self, num_iters, start, end, scores): argument
471 iters=num_iters,
472 wall_time=(end - start) / num_iters,
476 def _fit(self, num_iters=10): argument
501 self._fit(num_iters=4)
509 self._fit(num_iters=4)
514 def _fit(self, num_iters=10): argument
517 for i in range(num_iters):
532 self._report(num_iters, start, time.time(), scores)
537 def _fit(self, num_iters=10): argument
[all …]
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | kmeans_test.py | 475 def _report(self, num_iters, start, end, scores): argument
478 iters=num_iters,
479 wall_time=(end - start) / num_iters,
483 def _fit(self, num_iters=10): argument
508 self._fit(num_iters=4)
516 self._fit(num_iters=4)
521 def _fit(self, num_iters=10): argument
524 for i in range(num_iters):
540 self._report(num_iters, start, time.time(), scores)
545 def _fit(self, num_iters=10): argument
[all …]
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| /external/mesa3d/src/gallium/tests/graw/ |
| D | shader-leak.c | 17 static int num_iters = 100; variable
144 printf("Creating %d shaders\n", num_iters); in draw()
146 for (i = 0; i < num_iters; i++) { in draw()
270 num_iters = atoi(argv[1]); in main()
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| /external/tensorflow/tensorflow/python/profiler/ |
| D | pprof_profiler_test.py | 143 num_iters = 5
146 c = lambda i: math_ops.less(i, num_iters)
160 self.assertEquals(num_iters, add_samples[0].value[0])
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| /external/ltp/testcases/kernel/syscalls/ptrace/ |
| D | ptrace07.c | 66 const unsigned long num_iters = 1000000000; in check_regs_loop() local
82 : "r" (num_iters) : "rax", "rbx", "xmm0"); in check_regs_loop()
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| /external/pcre/pcrecpp/ |
| D | pcrecpp_unittest.cc | 69 static void Timing1(int num_iters) { in Timing1() argument
73 for (int j = num_iters; j > 0; j--) { in Timing1()
78 static void Timing2(int num_iters) { in Timing2() argument
82 for (int j = num_iters; j > 0; j--) { in Timing2()
88 static void Timing3(int num_iters) { in Timing3() argument
90 for (int j = num_iters; j > 0; j--) { in Timing3()
|