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ggml-zdnn: disable logging and breakpoints for full test

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Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
This commit is contained in:
Aaron Teo
2025-07-30 13:52:13 +08:00
parent b4dffed954
commit ad0cb30212
1 changed files with 17 additions and 17 deletions
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34
ggml/src/ggml-zdnn/ggml-zdnn-rewrite.cpp
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@@ -145,28 +145,28 @@ static void ggml_zdnn_mul_mat_op(ggml_backend_zdnn_context * ctx, const ggml_ten
ggml_zdnn_load_tensor(zt_bias, bias_data);
ggml_zdnn_load_tensor(output_extra->ztensor, output->data); //! THIS SHOULD FAIL BECAUSE OF SET_TENSOR
GGML_LOG_INFO("%s: tensor '%s' tensor dimensions: [%ld, %ld, %ld, %ld] pre_tfm_desc dimensions: [%ld, %ld, %ld, %ld]\n",
__func__, weights_extra->name,
weights->ne[3], weights->ne[2], weights->ne[1], weights->ne[0],
weights_extra->pre_tfm_desc.dim1,
weights_extra->pre_tfm_desc.dim2,
weights_extra->pre_tfm_desc.dim3,
weights_extra->pre_tfm_desc.dim4);
// GGML_LOG_INFO("%s: tensor '%s' tensor dimensions: [%ld, %ld, %ld, %ld] pre_tfm_desc dimensions: [%ld, %ld, %ld, %ld]\n",
// __func__, weights_extra->name,
// weights->ne[3], weights->ne[2], weights->ne[1], weights->ne[0],
// weights_extra->pre_tfm_desc.dim1,
// weights_extra->pre_tfm_desc.dim2,
// weights_extra->pre_tfm_desc.dim3,
// weights_extra->pre_tfm_desc.dim4);
GGML_LOG_INFO("%s: tensor '%s' tensor dimensions: [%ld, %ld, %ld, %ld] pre_tfm_desc dimensions: [%ld, %ld, %ld, %ld]\n",
__func__, inputs_extra->name,
inputs->ne[3], inputs->ne[2], inputs->ne[1], inputs->ne[0],
inputs_extra->pre_tfm_desc.dim1,
inputs_extra->pre_tfm_desc.dim2,
inputs_extra->pre_tfm_desc.dim3,
inputs_extra->pre_tfm_desc.dim4);
// GGML_LOG_INFO("%s: tensor '%s' tensor dimensions: [%ld, %ld, %ld, %ld] pre_tfm_desc dimensions: [%ld, %ld, %ld, %ld]\n",
// __func__, inputs_extra->name,
// inputs->ne[3], inputs->ne[2], inputs->ne[1], inputs->ne[0],
// inputs_extra->pre_tfm_desc.dim1,
// inputs_extra->pre_tfm_desc.dim2,
// inputs_extra->pre_tfm_desc.dim3,
// inputs_extra->pre_tfm_desc.dim4);
GGML_ASSERT(weights_extra->pre_tfm_desc.dim1 == weights->ne[0] && "weights_extra->pre_tfm_desc.dim1 must match weights->ne[0]");
GGML_ASSERT(weights_extra->pre_tfm_desc.dim2 == weights->ne[1] && "weights_extra->pre_tfm_desc.dim2 must match weights->ne[1]");
GGML_ASSERT(inputs_extra->pre_tfm_desc.dim1 == inputs->ne[0] && "inputs_extra->pre_tfm_desc.dim1 must match inputs->ne[0]");
GGML_ASSERT(inputs_extra->pre_tfm_desc.dim2 == inputs->ne[1] && "inputs_extra->pre_tfm_desc.dim2 must match inputs->ne[1]");
std::raise(SIGINT);
// std::raise(SIGINT);
ZDNN_CHECK(zdnn_matmul_transpose_op(&inputs_extra->ztensor, &weights_extra->ztensor, &zt_bias,
false, true, MATMUL_OP_ADDITION, &output_extra->ztensor));
@@ -418,8 +418,8 @@ static enum ggml_status ggml_backend_zdnn_buffer_init_tensor(ggml_backend_buffer
ctx->buffers.push_back(std::move(zdnn_buffer));
ctx->n_buffers++;
GGML_LOG_INFO("%s: initialised tensor '%s' in buffer %d, size = %8.2f MiB\n",
__func__, tensor->name, buffer_idx, tsize);
// GGML_LOG_INFO("%s: initialised tensor '%s' in buffer %d, size = %8.2f MiB\n",
// __func__, tensor->name, buffer_idx, tsize);
return GGML_STATUS_SUCCESS;
}