| /external/tensorflow/tensorflow/contrib/checkpoint/python/ |
| D | BUILD | 14 ":visualize",
98 name = "visualize",
99 srcs = ["visualize.py"],
113 ":visualize",
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| D | visualize_test.py | 22 from tensorflow.contrib.checkpoint.python import visualize
68 dot_graph_string = visualize.dot_graph_from_checkpoint(prefix)
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| /external/tensorflow/tensorflow/lite/g3doc/guide/ |
| D | faq.md | 44 If that approach yields an error, you can visualize the GraphDef with
46 look for the inputs and outputs in the graph. To visualize a `.pb` file, use the
57 [visualize.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/tools/visualize…
61 * Run the `visualize.py` script with bazel:
64 bazel run //tensorflow/lite/tools:visualize model.tflite visualized_model.html
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| D | get_started.md | 129 The easiest way to find them is to visualize the graph, either with
172 to visualize TensorFlow Lite models after conversion. To build the
173 [visualize.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/tools/visualize…
177 bazel run tensorflow/lite/tools:visualize -- model.tflite model_viz.html
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| /external/tensorflow/tensorflow/lite/tools/ |
| D | BUILD | 13 name = "visualize",
14 srcs = ["visualize.py"],
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| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| D | profile_memory.md | 3 It is generally a good idea to visualize the memory usage in timeline.
20 # You can also visualize the memory information through other methods.
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| D | python_api.md | 6 * [Visualize](#visualize)
95 To visualize the result of Python API results:
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| D | profile_time.md | 143 Usually, use graph view to generate a timeline to visualize the result.
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| /external/tensorflow/tensorflow/python/summary/ |
| D | README.md | 5 but it can be used by anyone who wishes to analyze or visualize TensorFlow
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| /external/v8/tools/heap-stats/ |
| D | README.md | 4 For example, the tool can be used to visualize how much heap memory is used for
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| /external/tensorflow/tensorflow/contrib/checkpoint/ |
| D | __init__.py | 50 from tensorflow.contrib.checkpoint.python.visualize import dot_graph_from_checkpoint
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| /external/tensorflow/tensorflow/lite/g3doc/r2/convert/ |
| D | python_api.md | 200 …[visualize.py](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/tools/visualiz…
201 Unlike GraphViz, it enables users to visualize the graph after post training
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| /external/swiftshader/third_party/LLVM/docs/CommandGuide/ |
| D | llvm-prof.pod | 31 particularly useful when trying to visualize how frequently basic blocks
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| /external/perf_data_converter/ |
| D | README.md | 52 should convert this into a profile.proto then visualize it using
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| /external/brotli/research/ |
| D | README.md | 3 … size, to bring significant compression density improvements. Our tools visualize the backward ref…
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SampleDistortedBoundingBoxV2.pbtxt | 102 image. The latter may be supplied to `tf.image.draw_bounding_boxes` to visualize
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| D | api_def_SampleDistortedBoundingBox.pbtxt | 102 image. The latter may be supplied to `tf.image.draw_bounding_boxes` to visualize
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| /external/grpc-grpc-java/benchmarks/ |
| D | README.md | 22 …alizes the histogram to `FILE` which can then be used with a plotter to visualize the latency dist…
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| /external/robolectric-shadows/shadows/framework/src/main/java/org/robolectric/shadows/ |
| D | ShadowView.java | 86 public static String visualize(View view) { in visualize() method in ShadowView
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| D | ShadowCanvas.java | 51 public static String visualize(Canvas canvas) { in visualize() method in ShadowCanvas
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| D | ShadowBitmap.java | 67 public static String visualize(Bitmap bitmap) { in visualize() method in ShadowBitmap
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| /external/tensorflow/tensorflow/compiler/xla/g3doc/ |
| D | jit.md | 162 module that's run. You can read this as-is, or you can visualize it using
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| /external/robolectric-shadows/robolectric/src/test/java/org/robolectric/shadows/ |
| D | ShadowCanvasTest.java | 83 …ile:/an/image.jpg transformed by Matrix[pre=[], set={}, post=[]]", ShadowCanvas.visualize(canvas)); in visualize_shouldReturnDescription()
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| /external/tensorflow/tensorflow/core/profiler/ |
| D | README.md | 243 # Use google-pprof, from the google-perftools package to visualize the generated file.
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| /external/perfetto/docs/ |
| D | heapprofd.md | 54 [Speedscope](https://speedscope.app) can also be used to visualize the heap
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