-
Notifications
You must be signed in to change notification settings - Fork 92
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Replaced hardcoded QueueIds for DefaultQueueId (#11171)
#11170: use default queueid
- Loading branch information
Showing
14 changed files
with
150 additions
and
101 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,125 @@ | ||
| // SPDX-FileCopyrightText: © 2023 Tenstorrent Inc. | ||
| // | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
|
|
||
|
|
||
| #include "ttnn/common/constants.hpp" | ||
| #include "slice.hpp" | ||
| #include "device/slice_op.hpp" | ||
| #include "ttnn/run_operation.hpp" | ||
| #include "ttnn/operations/core/core.hpp" | ||
|
|
||
|
|
||
| namespace ttnn::operations::data_movement { | ||
|
|
||
| ttnn::Tensor SliceOperation::operator()( | ||
| uint8_t queue_id, | ||
| const ttnn::Tensor& input_tensor, | ||
| tt::tt_metal::Shape output_tensor_start, | ||
| tt::tt_metal::Shape output_tensor_end, | ||
| const std::optional<MemoryConfig>& memory_config_arg) { | ||
| if (input_tensor.storage_type() != StorageType::DEVICE) { | ||
| tt::tt_metal::Shape output_tensor_shape = { | ||
| output_tensor_end[0] - output_tensor_start[0] + 1, | ||
| output_tensor_end[1] - output_tensor_start[1] + 1, | ||
| output_tensor_end[2] - output_tensor_start[2] + 1, | ||
| output_tensor_end[3] - output_tensor_start[3] + 1, | ||
| }; | ||
| if (input_tensor.get_legacy_shape() == output_tensor_shape) { | ||
| return input_tensor; | ||
| } else { | ||
| return input_tensor.unpad(output_tensor_start, output_tensor_end); | ||
| } | ||
| } | ||
| else { | ||
| auto memory_config = memory_config_arg.value_or(input_tensor.memory_config()); | ||
| // TODO: Generalize this early exit of slice for other cases | ||
| auto& input_tensor_shape = input_tensor.get_legacy_shape(); | ||
| if (input_tensor.is_sharded() && input_tensor.memory_config() == memory_config && | ||
| input_tensor_shape.rank() > 1 && input_tensor_shape.rank() == output_tensor_start.rank() && | ||
| output_tensor_start.rank() == output_tensor_end.rank()) { | ||
| uint32_t i; | ||
| // Require all leading dims to be 1 (TODO: This can be relaxed to support outermost non-1 dim unpadding) | ||
| bool in_place_unpad = true; | ||
| for (i = 0; i < input_tensor.get_legacy_shape().rank() - 2; ++i) { | ||
| in_place_unpad &= | ||
| output_tensor_start[i] == 0 && output_tensor_end[i] == 0 && input_tensor_shape[i] == 1; | ||
| } | ||
| in_place_unpad &= output_tensor_start[i] == 0 && | ||
| tt::div_up(output_tensor_end[i] + 1, input_tensor.shard_spec().value().shape[0]) == | ||
| tt::div_up(input_tensor_shape[i], input_tensor.shard_spec().value().shape[0]); | ||
| i++; | ||
| in_place_unpad &= output_tensor_start[i] == 0 && output_tensor_end[i] == input_tensor_shape[i] - 1; | ||
| if (in_place_unpad) { | ||
| auto new_shape = input_tensor.get_legacy_shape(); | ||
| auto new_pad = new_shape.padding(); | ||
|
|
||
| std::size_t unpad_val = input_tensor_shape[-2] - output_tensor_end[-2] - 1; | ||
| new_shape[-2] -= unpad_val; | ||
| new_pad[-2].back -= std::min(unpad_val, new_pad[-2].back); | ||
| auto padded_shape = ttnn::Shape(tt::tt_metal::Shape(new_shape, new_pad)); | ||
| return Tensor(input_tensor.storage(), padded_shape, input_tensor.dtype(), input_tensor.layout()); | ||
| } | ||
| } | ||
|
|
||
| return operation::run( | ||
| SliceDeviceOperation{output_tensor_start, output_tensor_end, memory_config}, {input_tensor}, {}, {}, queue_id) | ||
| .at(0); | ||
|
|
||
| } | ||
| } | ||
|
|
||
| ttnn::Tensor SliceOperation::operator()( | ||
| const ttnn::Tensor& input_tensor, | ||
| tt::tt_metal::Shape output_tensor_start, | ||
| tt::tt_metal::Shape output_tensor_end, | ||
| const std::optional<MemoryConfig>& memory_config_arg) { | ||
| return operator()(0, input_tensor, output_tensor_start, output_tensor_end, memory_config_arg); | ||
| } | ||
|
|
||
| ttnn::Tensor SliceOperation::operator()( | ||
| uint8_t queue_id, | ||
| const ttnn::Tensor& input_tensor, | ||
| tt::tt_metal::Array1D output_tensor_start, | ||
| tt::tt_metal::Array1D output_tensor_end, | ||
| const std::optional<MemoryConfig>& memory_config_arg) { | ||
| return operator()( | ||
| queue_id, | ||
| input_tensor, | ||
| tt::tt_metal::Shape(output_tensor_start), | ||
| tt::tt_metal::Shape(output_tensor_end), | ||
| memory_config_arg); | ||
| } | ||
|
|
||
| ttnn::Tensor SliceOperation::operator()( | ||
| uint8_t queue_id, | ||
| const ttnn::Tensor& input_tensor, | ||
| tt::tt_metal::Array4D output_tensor_start, | ||
| tt::tt_metal::Array4D output_tensor_end, | ||
| const std::optional<MemoryConfig>& memory_config_arg) { | ||
| return operator()( | ||
| queue_id, | ||
| input_tensor, | ||
| tt::tt_metal::Shape(output_tensor_start), | ||
| tt::tt_metal::Shape(output_tensor_end), | ||
| memory_config_arg); | ||
| } | ||
|
|
||
| ttnn::Tensor SliceOperation::operator()( | ||
| const ttnn::Tensor& input_tensor, | ||
| tt::tt_metal::Array4D output_tensor_start, | ||
| tt::tt_metal::Array4D output_tensor_end, | ||
| const std::optional<MemoryConfig>& memory_config_arg) { | ||
| return operator()(DefaultQueueId, input_tensor, output_tensor_start, output_tensor_end, memory_config_arg); | ||
| } | ||
|
|
||
| ttnn::Tensor SliceOperation::operator()( | ||
| const ttnn::Tensor& input_tensor, | ||
| tt::tt_metal::Array4D output_tensor_start, | ||
| tt::tt_metal::Array4D output_tensor_end) { | ||
| return operator()(DefaultQueueId, input_tensor, output_tensor_start, output_tensor_end, std::nullopt); | ||
| } | ||
|
|
||
| } // namespace operations | ||
|
|
||
|
|
Oops, something went wrong.