| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | decode_jpeg_op_test.py | 43 num_iters, argument
118 for _ in xrange(num_iters):
125 num_iters = 10
129 num_iters)
131 num_iters, False, crop_window)
133 'small.jpg', parallelism, num_iters, True, crop_window)
136 iters=num_iters,
140 iters=num_iters,
144 iters=num_iters,
149 num_iters = 10
[all …]
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| D | reduce_benchmark_test.py | 41 def _run(self, func, num_iters): argument
45 for _ in range(num_iters):
48 mean_us = (end - start) * 1e6 / num_iters
50 iters=num_iters,
52 extras={"examples_per_sec": num_iters / (end - start)})
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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/eager/ |
| D | benchmarks_test.py | 95 def run_benchmark(func, num_iters, execution_mode=None): argument
103 for _ in xrange(num_iters):
152 def _run(self, func, num_iters, execution_mode=None): argument
153 self.run_report(run_benchmark, func, num_iters, execution_mode)
308 def _benchmark_np_multiply(self, m, num_iters): argument
311 self._run(func, num_iters)
313 def _benchmark_tf_multiply(self, m, num_iters): argument
315 self._run(func, num_iters)
317 def _benchmark_tf_conv2d(self, m1, m2, num_iters): argument
319 self._run(func, num_iters)
[all …]
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| D | benchmarks_test_base.py | 53 def run_report(self, run_benchmark, func, num_iters, execution_mode=None): argument
55 total_time = run_benchmark(func, num_iters, execution_mode)
56 mean_us = total_time * 1e6 / num_iters
58 "examples_per_sec": float("{0:.3f}".format(num_iters / total_time)),
59 "us_per_example": float("{0:.3f}".format(total_time * 1e6 / num_iters))
65 num_iters_xprof = min(100, num_iters)
81 iters=num_iters, wall_time=mean_us, extras=extras, name=benchmark_name)
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| D | remote_benchmarks_test.py | 45 def run_benchmark(func, num_iters, execution_mode=None): argument
53 for _ in xrange(num_iters):
87 def _run(self, func, num_iters=1000, execution_mode=context.ASYNC): argument
88 total_time = run_benchmark(func, num_iters, execution_mode)
89 mean_us = total_time * 1e6 / num_iters
91 iters=num_iters,
93 extras={"examples_per_sec": num_iters / total_time})
149 self._run(func, execution_mode=context.ASYNC, num_iters=100)
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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 | 71 def run_graph(self, device, n, m, k, transpose_a, transpose_b, num_iters, argument
96 for _ in range(num_iters):
100 throughput = num_items * num_iters / duration / 1e9
103 ',ta:' + str(transpose_a) + '.tb:' + str(transpose_b), num_iters,
114 iters=num_iters,
118 def run_test_gpu(self, n, m, k, transpose_a, transpose_b, dtype, num_iters): argument
120 num_iters, dtype)
122 def test_round(self, num_iters): argument
129 self.run_test_gpu(n, m, k, transpose_a, transpose_b, dtype, num_iters)
134 self.run_test_gpu(n, m, k, transpose_a, transpose_b, dtype, num_iters)
[all …]
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| D | conv2d_benchmark.py | 45 padding, num_iters, warmup_iters): argument
75 for _ in range(1, num_iters):
98 strides, padding, num_iters, warmup_iters): argument
123 padding, num_iters, warmup_iters)
148 duration = (time.time() - start_time) / num_iters
153 str(strides).replace(" ", ""), padding, num_iters, duration))
168 iters=num_iters,
204 num_iters = 80
207 padding, num_iters, warmup_iters)
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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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| /external/tensorflow/tensorflow/python/data/experimental/benchmarks/ |
| D | map_defun_benchmark.py | 34 def _run(self, op, name=None, num_iters=3000): argument
36 wall_time = self.run_op_benchmark(op=op, iters=num_iters, warmup=True)
41 iters=num_iters,
57 num_iters = 10000 // input_size
64 num_iters=num_iters)
68 num_iters=num_iters)
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| /external/tensorflow/tensorflow/python/keras/benchmarks/layer_benchmarks/ |
| D | layer_benchmarks_test_base.py | 36 def run_report(self, func, num_iters, metadata=None): argument
44 for _ in range(num_iters):
47 us_mean_time = total_time * 1e6 / num_iters
51 "value": float("{0:.3f}".format(num_iters / total_time))},
56 num_iters_xprof = min(100, num_iters)
74 iters=num_iters, wall_time=us_mean_time, extras=extras, metrics=metrics)
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| D | layer_benchmarks_test.py | 217 def benchmark_layer_call(self, layer_cls, layer_args, inputs, num_iters): argument
225 self.run_report(fn, num_iters, metadata)
228 self, layer_cls, layer_args, inputs, num_iters): argument
237 self.run_report(fn, num_iters, metadata)
240 self, layer_cls, layer_args, inputs, num_iters): argument
253 self.run_report(fn, num_iters, metadata)
256 self, layer_cls, layer_args, inputs, num_iters): argument
264 self.run_report(fn, num_iters, metadata)
267 self, layer_cls, layer_args, inputs, num_iters): argument
276 self.run_report(fn, num_iters, metadata)
[all …]
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| /external/tensorflow/tensorflow/python/framework/ |
| D | graph_building_benchmark.py | 44 def run_benchmark(func, num_iters): argument
46 for _ in range(num_iters):
55 def _run_and_report(self, func, num_iters): argument
56 total_time = run_benchmark(func, num_iters)
57 mean_us = total_time * 1e6 / num_iters
59 iters=num_iters,
62 "examples_per_sec": float("{0:.3f}".format(num_iters / total_time)),
|
| /external/tensorflow/tensorflow/python/eager/benchmarks/resnet50/ |
| D | resnet50_graph_test.py | 71 def _report(self, label, start, num_iters, batch_size): argument
72 avg_time = (time.time() - start) / num_iters
77 iters=num_iters, wall_time=avg_time, name=name, extras=extras)
91 num_burn, num_iters = (3, 30)
95 for _ in range(num_iters):
100 self._report('apply', start, num_iters, batch_size)
120 (num_burn, num_iters) = (5, 10)
124 for _ in range(num_iters):
126 self._report('train', start, num_iters, batch_size)
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| /external/tensorflow/tensorflow/python/keras/benchmarks/ |
| D | eager_microbenchmarks_test.py | 31 def _run_benchmark(func, num_iters, execution_mode=None): argument
38 for _ in range(num_iters):
50 def run_report(self, run_benchmark, func, num_iters, execution_mode=None): argument
52 total_time = run_benchmark(func, num_iters, execution_mode)
53 mean_us = total_time * 1e6 / num_iters
56 "value": float("{0:.3f}".format(num_iters / total_time))
59 "value": float("{0:.3f}".format(total_time * 1e6 / num_iters))
63 iters=num_iters,
91 def _run(self, func, num_iters, execution_mode=None): argument
92 self.run_report(_run_benchmark, func, num_iters, execution_mode)
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| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| D | parameterized_truncated_normal_op_test.py | 394 def parameterized_vs_naive(shape, num_iters, use_gpu=False): argument
412 param_dt = timeit.timeit(lambda: sess.run(param_op), number=num_iters)
415 naive_dt = timeit.timeit(lambda: sess.run(naive_op), number=num_iters)
419 def randn_sampler_switchover(shape, num_iters, use_gpu=False): argument
461 lambda: sess.run(uniform_sampler_op), number=num_iters)
466 lambda: sess.run(randn_sampler_op), number=num_iters)
480 num_iters = 50
482 "naive TruncatedNormalOp [%d iters]") % num_iters)
487 p_dt, n_dt = parameterized_vs_naive(shape, num_iters, use_gpu)
493 iters=num_iters,
[all …]
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| /external/libtextclassifier/abseil-cpp/absl/random/internal/ |
| D | randen_benchmarks.cc | 55 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
56 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
70 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
72 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
85 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
86 for (size_t i = 0; i < num_iters - 1; ++i) { in operator ()()
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| /external/openscreen/third_party/abseil/src/absl/random/internal/ |
| D | randen_benchmarks.cc | 55 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
56 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
70 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
72 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
85 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
86 for (size_t i = 0; i < num_iters - 1; ++i) { in operator ()()
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| /external/abseil-cpp/absl/random/internal/ |
| D | randen_benchmarks.cc | 55 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
56 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
70 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
72 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
85 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
86 for (size_t i = 0; i < num_iters - 1; ++i) { in operator ()()
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| /external/webrtc/third_party/abseil-cpp/absl/random/internal/ |
| D | randen_benchmarks.cc | 55 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
56 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
70 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
72 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
85 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
86 for (size_t i = 0; i < num_iters - 1; ++i) { in operator ()()
|
| /external/rust/crates/grpcio-sys/grpc/third_party/abseil-cpp/absl/random/internal/ |
| D | randen_benchmarks.cc | 55 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
56 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
70 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
72 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
85 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
86 for (size_t i = 0; i < num_iters - 1; ++i) { in operator ()()
|
| /external/angle/third_party/abseil-cpp/absl/random/internal/ |
| D | randen_benchmarks.cc | 55 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
56 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
70 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
72 for (size_t i = 0; i < num_iters; ++i) { in operator ()()
85 FuncOutput operator()(const FuncInput num_iters) const { in operator ()()
86 for (size_t i = 0; i < num_iters - 1; ++i) { in operator ()()
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| /external/tensorflow/tensorflow/python/framework/experimental/ |
| D | unified_api_test.py | 405 num_iters, hidden_layers, hidden_size, batch_size): argument
441 repeat=num_iters,
446 num_iters = 100
452 num_iters,
458 iters=num_iters,
462 num_iters = 100
468 num_iters,
473 name="TwoHiddenLayerMnistEager", iters=num_iters, wall_time=duration)
476 num_iters = 100
482 num_iters,
[all …]
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| /external/tensorflow/tensorflow/python/training/tracking/ |
| D | benchmarks_test.py | 77 def _run(self, func, num_iters, execution_mode=None): argument
80 for _ in range(num_iters):
83 mean_us = (end - start) * 1e6 / num_iters
85 iters=num_iters,
87 extras={"examples_per_sec": num_iters / (end - start)})
|