| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_BatchToSpaceND.pbtxt | 17 name: "crops"
20 `crops[i] = [crop_start, crop_end]` specifies the amount to crop from input
53 `reshaped_permuted` according to `crops` to produce the output of shape:
56 input_shape[1] * block_shape[0] - crops[0,0] - crops[0,1],
58 input_shape[M] * block_shape[M-1] - crops[M-1,0] - crops[M-1,1],
65 `crops = [[0, 0], [0, 0]]`:
78 `crops = [[0, 0], [0, 0]]`:
92 `crops = [[0, 0], [0, 0]]`
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| api_def_CropAndResize.pbtxt | 42 name: "crops"
60 summary: "Extracts crops from the input image tensor and bilinearly resizes them (possibly"
66 Returns a tensor with `crops` from the input `image` at positions defined at the
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| api_def_BatchToSpace.pbtxt | 13 name: "crops"
19 crops = [[crop_top, crop_bottom], [crop_left, crop_right]]
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| api_def_RandomCrop.pbtxt | 40 This Op picks a random location in `image` and crops a `height` by `width`
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| batchtospace_op.cc | 27 const xla::Literal& crops) {
42 xla::ShapeUtil::Rank(crops.shape()) == 2 &&
43 block_rank == xla::ShapeUtil::GetDimension(crops.shape(), 0) &&
44 2 == xla::ShapeUtil::GetDimension(crops.shape(), 1),
45 errors::InvalidArgument("crops should have shape [", block_rank,
47 xla::ShapeUtil::HumanString(crops.shape())));
118 // `reshaped_permuted` according to `crops` to produce the output of shape:
121 // input_shape[1] * block_shape[0] - crops[0,0] - crops[0,1],
123 // input_shape[M] * block_shape[M-1] - crops[M-1,0] - crops[M-1,1]
155 xla::Literal crops; variable
175 xla::Literal crops; variable
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| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| batch_to_space_nd.cc | 40 crops = GetInput(context, node, 2);
45 TfLiteTensor* crops; member in struct:tflite::ops::builtin::batch_to_space_nd::BatchToSpaceNDContext
60 const int* crops = GetTensorData<int32>(op_context->crops); local
66 TF_LITE_ENSURE_EQ(context, NumDimensions(op_context->crops),
69 // TODO(ycling): Add crops as part of calculation. Remove check for a crops
71 TF_LITE_ENSURE_EQ(context, crops[0], 0);
72 TF_LITE_ENSURE_EQ(context, crops[1], 0);
73 TF_LITE_ENSURE_EQ(context, crops[2], 0)
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| batch_to_space_nd_test.cc | 51 // Tests case where block_shape and crops are const tensors.
54 // BatchToSpaceNDOpConstModel m(input_shape, block_shape, crops);
61 std::initializer_list<int> crops) {
64 crops_ = AddConstInput(TensorType_INT32, crops, {2, 2});
74 // Tests case where block_shape and crops are non-const tensors.
80 // m.SetPaddings(crops);
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| /external/tensorflow/tensorflow/core/kernels/ |
| batchtospace_op.cc | 63 errors::InvalidArgument("crops should have shape [", block_dims,
67 // crops tensors are concurrently modified, we must copy the values.
69 gtl::InlinedVector<int64, 8> crops; local
71 internal::spacetobatch::SubtleMustCopyFlat(orig_crops, &crops);
78 if (crops[2 * dim] != 0 || crops[2 * dim + 1] != 0 ||
90 if (crops[2 * dim] != 0 || crops[2 * dim + 1] != 0 ||
150 const int64 crop_start = crops[2 * block_dim],
151 crop_end = crops[2 * block_dim + 1]
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| crop_and_resize_op_gpu.cu.cc | 328 typename TTypes<float, 4>::Tensor crops) {
333 const int num_boxes = crops.dimension(0);
334 const int crop_height = crops.dimension(1);
335 const int crop_width = crops.dimension(2);
336 const int depth = crops.dimension(3);
347 crop_height, crop_width, depth, extrapolation_value, crops.data());
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| crop_and_resize_op.h | 35 typename TTypes<float, 4>::Tensor crops);
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| crop_and_resize_op.cc | 208 typename TTypes<float, 4>::Tensor crops) {
213 const int num_boxes = crops.dimension(0);
214 const int crop_height = crops.dimension(1);
215 const int crop_width = crops.dimension(2);
216 const int depth = crops.dimension(3);
246 crops(b, y, x, d) = extrapolation_value;
261 crops(b, y, x, d) = extrapolation_value;
281 crops(b, y, x, d) = top + (bottom - top) * y_lerp;
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| batchtospace_op_test.py | 57 crops = array_ops.zeros((2, 2), dtype=crops_dtype)
58 y1 = self.batch_to_space(x, crops, block_size=block_size)
76 crops = np.zeros((2, 2), dtype=np.int32)
79 _ = self.batch_to_space(x_np, crops, block_size)
84 crops = np.zeros((2, 2), dtype=np.int32)
87 out_tf = self.batch_to_space(x_np, crops, block_size)
93 crops = np.zeros((2, 2), dtype=np.int32)
96 out_tf = self.batch_to_space(x_np, crops, block_size)
102 crops = np.zeros((2, 2), dtype=np.int32)
105 out_tf = self.batch_to_space(x_np, crops, block_size
[all...] |
| spacetobatch_op_test.py | 591 crops):
592 """Checks that `paddings` and `crops` satisfy invariants."""
599 self.assertEqual(crops.shape, (num_block_dims, 2))
607 self.assertEqual(crops[i, 0], 0)
608 self.assertEqual(crops[i, 1], paddings[i, 1] - base_paddings[i, 1])
616 paddings, crops = array_ops.required_space_to_batch_paddings(input_shape,
620 crops_const = tensor_util.constant_value(crops)
|
| /external/webrtc/webrtc/tools/barcode_tools/ |
| yuv_cropper.py | 16 """Crops one frame.
18 This function crops one frame going through all the YUV planes and cropping
48 """Crops rows of pixels from the top of the YUV frames.
50 This function goes through all the frames in a video and crops the crop_height
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| /external/libyuv/files/docs/ |
| rotation.md | 17 This function crops, converts, and rotates. You should think of it in that order.
18 * Crops the original image, which is src_width x src_height, to crop_width x crop_height. At this point the image is still not rotated.
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| /external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
| resolve_batch_to_space_nd_attributes.cc | 44 // Handle crops
49 // Code only handles crops of 2 dimensions. Perhaps another transformation
|
| /external/tensorflow/tensorflow/python/ops/ |
| image_grad_test.py | 266 crops = image_ops.crop_and_resize(
275 self.assertEqual(crops_shape, list(crops.get_shape()))
276 crops = sess.run(crops)
277 self.assertEqual(crops_shape, list(crops.shape))
359 crops = image_ops.crop_and_resize(
368 crops,
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| /external/pdfium/core/fxcrt/ |
| maybe_owned.h | 19 // it crops up throughout the codebase due to a desire to avoid copying-in
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| /external/webrtc/webrtc/modules/desktop_capture/ |
| cropping_window_capturer.h | 22 // whole screen and crops the video frame to the window area when the captured
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| /external/webrtc/webrtc/video/ |
| screenshare_loopback.cc | 24 DEFINE_int32(width, 1850, "Video width (crops source).");
29 DEFINE_int32(height, 1110, "Video height (crops source).");
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| /development/samples/devbytes/animation/ListViewExpandingCells/src/com/example/android/expandingcells/ |
| CustomArrayAdapter.java | 107 * Crops a circle out of the thumbnail photo.
|
| /packages/apps/Car/libs/car-apps-common/src/com/android/car/apps/common/ |
| BitmapUtils.java | 73 * Crops the given bitmap to a centered rectangle of the given dimensions.
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| /external/tensorflow/tensorflow/contrib/lite/testing/ |
| generate_examples.py | 98 # const tensors as crops.
99 r"batch_to_space_nd.*crops=\[\[1,1\],\[1,1\]\]": "70594634",
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| generated_examples_zip_test.cc | 69 // non-const tensors as crops.
70 {R"(^\/batch_to_space_nd.*crops=\[\[1,1\],\[1,1\]\])", "70594634"},
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| /external/tensorflow/tensorflow/core/ops/ |
| array_ops_test.cc | 1452 Tensor crops = test::AsTensor<int32>({1, 1, 0, 1}, {{2, 2}}); local
1460 Tensor crops = test::AsTensor<int32>({1, 1, 0, 0}, {{2, 2}}); local
1495 Tensor crops = test::AsTensor<int32>({3, 2, 0, 0}, {{2, 2}}); local
[all...] |
