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fix test #44

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Merged
freelw merged 1 commit into from
Jun 17, 2025
Merged

fix test #44

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1 change: 0 additions & 1 deletion backends/cpu/cpu_ops.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -725,7 +725,6 @@ void CPUOps::build_dropout_mask(
Tensor*/*shape*/, Tensor*/*strides*/
) {
assert(mask != nullptr);
// assert(mask->get_dim() == 1);
auto length = mask->length();
for (int i = 0; i < length; ++i) {
int index = 0;
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16 changes: 0 additions & 16 deletions backends/gpu/metal/metal_ops.cpp
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Expand Up @@ -876,22 +876,6 @@ void MetalOps::fill(Tensor* tensor, float value) {
for (int i = 0; i < tensor->length(); ++i) {
data[i] = value;
}

// fillOps->prepare(device, commandQueue, commandBuffer, encoder);
// int* argsInt = (int*)bufferIntArgs->contents();
// float* argsFloat = (float*)bufferFloatArgs->contents();
// auto length = tensor->length();
// argsInt[0] = length;
// argsFloat[0] = value;
// auto offset_tensor = calc_offset(tensor);

// assert(encoder != nullptr);
// encoder->setBuffer(reinterpret_cast<MTL::Buffer*>(tensor->get_storage()->ctx), offset_tensor, 0);
// encoder->setBuffer(bufferIntArgs, 0, 1);
// encoder->setBuffer(bufferFloatArgs, 0, 2);
// MTL::Size gridDim = MTL::Size((length + TILE_WIDTH - 1) / TILE_WIDTH, 1, 1);
// MTL::Size blockDim = MTL::Size(TILE_WIDTH, 1, 1);
// encoder->dispatchThreadgroups(gridDim, blockDim);
}

void MetalOps::reshape_deep_cp(
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1 change: 0 additions & 1 deletion checkpoint.cpp
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Expand Up @@ -70,7 +70,6 @@ void diff_tensor_buffer(Tensor* tensor, char* buffer) {
<< ", got: " << buffer_f[i] << std::endl;
std::cerr << "tensor meta : " << tensor->get_meta_info() << std::endl;
break;
// abort();
}
}
::free(tensor_buffer);
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6 changes: 0 additions & 6 deletions graph/actions.cpp
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Expand Up @@ -638,12 +638,6 @@ void LazyDivAction::execute() {
assert(lhs != nullptr);
assert(res != nullptr);
float fvalue = 0;
// g_backend_ops->cp_from_device(
// reinterpret_cast<char*>(&fvalue),
// value,
// value->size()
// );
// fvalue += 1e-20;
g_backend_ops->div(res, lhs, value);
}

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5 changes: 0 additions & 5 deletions graph/node.cpp
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Expand Up @@ -543,11 +543,6 @@ namespace graph {
value
)
);
// g_backend_ops->cp_to_device(
// value_tensor,
// (char*)&value,
// sizeof(float)
// );
gCreateAction(
new LazyDivAction(
l_tensor,
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19 changes: 12 additions & 7 deletions tensor/tensor.cpp
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Expand Up @@ -559,13 +559,18 @@ void allocMemAndInitTensors() {
void* tensors_data_ctx = nullptr;
void* c_tensors_data_ctx = nullptr;
void* grad_tensors_data_ctx = nullptr;
tensors_data = g_backend_ops->alloc(tensors_data_capacity, &tensors_data_ctx);
c_tensors_data = g_backend_ops->alloc(c_tensors_data_capacity, &c_tensors_data_ctx);
grad_tensors_data = g_backend_ops->alloc(grad_tensors_data_capacity, &grad_tensors_data_ctx);

g_backend_ops->memset(tensors_data, 0, tensors_data_capacity);
g_backend_ops->memset(c_tensors_data, 0, c_tensors_data_capacity);
g_backend_ops->memset(grad_tensors_data, 0, grad_tensors_data_capacity);
if (tensors_data_capacity > 0) {
tensors_data = g_backend_ops->alloc(tensors_data_capacity, &tensors_data_ctx);
g_backend_ops->memset(tensors_data, 0, tensors_data_capacity);
}
if (c_tensors_data_capacity > 0) {
c_tensors_data = g_backend_ops->alloc(c_tensors_data_capacity, &c_tensors_data_ctx);
g_backend_ops->memset(c_tensors_data, 0, c_tensors_data_capacity);
}
if (grad_tensors_data_capacity > 0) {
grad_tensors_data = g_backend_ops->alloc(grad_tensors_data_capacity, &grad_tensors_data_ctx);
g_backend_ops->memset(grad_tensors_data, 0, grad_tensors_data_capacity);
}

int64_t offset = 0;
for (Tensor* tensor : g_tensors) {
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