Searched refs:depth_in (Results 1 – 6 of 6) sorted by relevance
| /hardware/qcom/neuralnetworks/hvxservice/1.0/ |
| D | HexagonController.cpp | 146 uint32_t width_in, uint32_t depth_in, const uint8_t* data_in, in execute() argument
150 CONTROLLER_CHECK(execute, id, batches_in, height_in, width_in, depth_in, data_in, data_len_in, in execute()
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| D | HexagonController.h | 80 uint32_t depth_in, const uint8_t* data_in, uint32_t data_len_in,
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| /hardware/qcom/neuralnetworks/hvxservice/1.0/hexagon_nn_controller/ |
| D | hexagon_nn_controller.h | 105 unsigned int depth_in, const unsigned char* data_in,
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| /hardware/interfaces/neuralnetworks/1.0/ |
| D | types.hal | 257 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
260 * [depth_out, filter_height, filter_width, depth_in], specifying the
285 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
288 * [depth_out, filter_height, filter_width, depth_in], specifying the
319 * Given an input tensor of shape [batches, height, width, depth_in] and a
326 * The output has depth_out = depth_in * depth_multiplier channels.
353 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
382 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
437 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
1344 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
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| /hardware/interfaces/neuralnetworks/1.2/ |
| D | types.hal | 367 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
371 * [depth_out, filter_height, filter_width, depth_in], specifying the
416 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
420 * [depth_out, filter_height, filter_width, depth_in], specifying the
471 * Given an input tensor of shape [batches, height, width, depth_in] and a
478 * The output has depth_out = depth_in * depth_multiplier channels.
518 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
567 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
643 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
1726 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
[all …]
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| /hardware/interfaces/neuralnetworks/1.3/ |
| D | types.hal | 330 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
334 * [depth_out, filter_height, filter_width, depth_in], specifying the
380 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
384 * [depth_out, filter_height, filter_width, depth_in], specifying the
436 * Given an input tensor of shape [batches, height, width, depth_in] and a
443 * The output has depth_out = depth_in * depth_multiplier channels.
495 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
545 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
623 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
1767 * * 0: A 4-D tensor, of shape [batches, height, width, depth_in],
[all …]
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