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- The assert triggers when a constant tensor is being assigned
to buffer 0 and that is a violation.
- The test case that triggered this problem revealed an error in
the reader code. If the input tensor has constant data it should
be using a Const op. Before this fix it was assigned a
Placeholder op and the tensor ended up in the scratch area
instead of the permanent area.
Change-Id: I4f92fb5ec1f0dc594defbaca0335eabe68fd5137
Signed-off-by: Johan Alfven <johan.alfven@arm.com>
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Added support for Variable Tensor, including offline planning.
Change-Id: I39f33fee207f1f1a4574a0f53f7377eec8709e15
Signed-off-by: Fredrik Svedberg <fredrik.svedberg@arm.com>
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- Update copyright notices to use SPDX format and add OSS mail as contact.
- Update years on files where it had been missed.
Signed-off-by: Rickard Bolin <rickard.bolin@arm.com>
Change-Id: I7e9715ea4e17b76252728c708e46df12ad67ab1f
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- A bug was introduced by using the original_shape attribute that
causes CPU CONV2D ops to fail to run due to an incorrect weight
tensor shape
- This was due to the original_shape not being modified when a
transpose was performed on the weight tensor
- The fix was to transpose the original_shape just like the current
shape
Signed-off-by: Tim Hall <tim.hall@arm.com>
Change-Id: Ied72316463d26c502cf931b9dd5784041c42ab66
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Always make sure the bias is a 1D tensor.
Signed-off-by: Johan Alfven <johan.alfven@arm.com>
Change-Id: Ic0cb85d4fb9d2e07b4d1b7ac6059bffa432e28a3
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This reverts commit 0af0d383925968626a7c37,
which caused a regression by rejecting
previously passing tests as faulty.
Signed-off-by: Dwight Lidman <dwight.lidman@arm.com>
Change-Id: If11737713b6873a67162387e407eadf174b434ec
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* Add check for tensor with no operations, raising error if its constant-data buffer is empty
Signed-off-by: Alex Matthews <alex.matthews@arm.com>
Change-Id: Ib210dcc9733e4ecedbada0f430e8b3c4a8384999
Signed-off-by: James Ward <james.ward@arm.com>
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Remove quant_values attribute from Tensor class.
It only needs a single values attribute, holding either
quantized or unquantized values as appropriate.
Change-Id: Ie96f80ac58061b6077e0f7048dc60209fdfbcafa
Signed-off-by: James Peet <james.peet@arm.com>
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Mapping to internal input indexing has been added to
tflite_reader.py and tosa_reader.py.
And the other way around in tflite_writer.py.
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: I4d8596e747cfa7c4203884c4e785eb1977e2bcc1
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Added basic TOSA support, enabling Vela to
read and compile a .tosa file corresponding to
CONV2D + Rescale + Clamp, and writing it to an
optimized .tflite file.
The optimized .tflite file, will in this case, hold
a commandstream where the Rescale and Clamp has been
fused into the CONV2D.
The optimized tflite file is not output from Vela.
-Added support to read .tosa file into Vela
internal structure.
- Added tosa_reader.py, tosa_mapper.py and
helper files stored under tosa/
- Support for this limited to ~10 ops
-Added reader_util.py for functions common
for TOSA and TFLite
-Added tosa_graph_optimiser.py
-Added support to fuse Rescale into convolution
-Modified handling for padding
-Added support to fuse Clamp to previous op
-Added graph_optimiser_util.py
-Moved functions common for TOSA/TFLite graph
optimization to this file.
-Renamed graph_optimiser.py to tflite_graph_optmiser.py
-Added separate tosa_supported_operators.py
-Added supported_operator_util.py
-For functions in common for TOSA/TFLite
Signed-off-by: Patrik Gustavsson <patrik.gustavsson@arm.com>
Change-Id: Ic3c540504ec8c5eb4771397fdc6882050ecf33ab
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