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author | Kevin Petit <kevin.petit@arm.com> | 2024-01-08 15:27:25 +0000 |
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committer | Kevin Petit <kevin.petit@arm.com> | 2024-01-15 10:19:01 +0000 |
commit | a7ac313a13f8f82b4b3ca9730bd746392f6600d9 (patch) | |
tree | 242c97650a951f48a5de96b44e0d5c124ea1c212 /pseudocode/operators/VARIABLE_WRITE.tosac | |
parent | 8754ec288dc491f3a9e936e68a1fd35783c9808e (diff) | |
download | specification-a7ac313a13f8f82b4b3ca9730bd746392f6600d9.tar.gz |
Move operator pseudocode to separate files
This makes it easier to process the pseudocode automatically.
Change-Id: I84394192598e589de07d43a7af60b96788e14f86
Signed-off-by: Kevin Petit <kevin.petit@arm.com>
Diffstat (limited to 'pseudocode/operators/VARIABLE_WRITE.tosac')
-rw-r--r-- | pseudocode/operators/VARIABLE_WRITE.tosac | 29 |
1 files changed, 29 insertions, 0 deletions
diff --git a/pseudocode/operators/VARIABLE_WRITE.tosac b/pseudocode/operators/VARIABLE_WRITE.tosac new file mode 100644 index 0000000..83c5525 --- /dev/null +++ b/pseudocode/operators/VARIABLE_WRITE.tosac @@ -0,0 +1,29 @@ +// +// This confidential and proprietary software may be used only as +// authorised by a licensing agreement from ARM Limited +// (C) COPYRIGHT 2020-2024 ARM Limited +// ALL RIGHTS RESERVED +// The entire notice above must be reproduced on all authorised +// copies and copies may only be made to the extent permitted +// by a licensing agreement from ARM Limited. + + +tensor_t. variable_tensor = variable_tensor_lookup(uid); +// Check this variable tensor has been declared +REQUIRE(variable_tensor); +// The tensor has to be seen before to be written to +// The seen variable is cleared before each graph execution and set in declaration +REQUIRE(variable_tensor.seen); +// Input tensor's shape and variable_tensor's shape have to match +REQUIRE(variable_tensor.shape == shape); +// Input tensor's shape and variable_tensor's type have to match +REQUIRE(variable_tensor.type == in_t); + +for_each (index in shape) { + // Write data from the input to the pseudo-buffer resource + in_t value = tensor_read<in_t>(input1, shape, index); + tensor_write<tensor_t>(variable_tensor.data, variable_tensor.shape, index, value); +} + +variable_tensor.is_written = true; + |