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https://github.com/ml-explore/mlx.git
synced 2025-12-16 01:49:05 +08:00
fix malloc or wait deadlock (#1976)
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@@ -44,14 +44,14 @@ inline void set_binary_op_output_data(
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switch (bopt) {
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case BinaryOpType::ScalarScalar:
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out.set_data(
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allocator::malloc_or_wait(out.itemsize()), 1, a.strides(), a.flags());
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allocator::malloc(out.itemsize()), 1, a.strides(), a.flags());
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break;
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case BinaryOpType::ScalarVector:
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if (b_donatable) {
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out.copy_shared_buffer(b);
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} else {
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out.set_data(
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allocator::malloc_or_wait(b.data_size() * out.itemsize()),
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allocator::malloc(b.data_size() * out.itemsize()),
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b.data_size(),
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b.strides(),
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b.flags());
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@@ -62,7 +62,7 @@ inline void set_binary_op_output_data(
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out.copy_shared_buffer(a);
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} else {
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out.set_data(
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allocator::malloc_or_wait(a.data_size() * out.itemsize()),
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allocator::malloc(a.data_size() * out.itemsize()),
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a.data_size(),
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a.strides(),
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a.flags());
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@@ -75,7 +75,7 @@ inline void set_binary_op_output_data(
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out.copy_shared_buffer(b);
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} else {
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out.set_data(
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allocator::malloc_or_wait(a.data_size() * out.itemsize()),
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allocator::malloc(a.data_size() * out.itemsize()),
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a.data_size(),
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a.strides(),
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a.flags());
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@@ -88,7 +88,7 @@ inline void set_binary_op_output_data(
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b_donatable && b.flags().row_contiguous && b.size() == out.size()) {
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out.copy_shared_buffer(b);
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} else {
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out.set_data(allocator::malloc_or_wait(out.nbytes()));
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out.set_data(allocator::malloc(out.nbytes()));
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}
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break;
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}
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@@ -103,7 +103,7 @@ void ExpandDims::eval(const std::vector<array>& inputs, array& out) {
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void NumberOfElements::eval(const std::vector<array>& inputs, array& out) {
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assert(inputs.size() == 1);
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out.set_data(allocator::malloc_or_wait(out.nbytes()));
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out.set_data(allocator::malloc(out.nbytes()));
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double numel = 1;
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for (auto ax : axes_) {
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@@ -188,7 +188,7 @@ void compiled_allocate_outputs(
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}
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for (; o < outputs.size(); ++o) {
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outputs[o].set_data(
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allocator::malloc_or_wait(data_size * outputs[o].itemsize()),
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allocator::malloc(data_size * outputs[o].itemsize()),
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data_size,
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strides,
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flags);
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@@ -211,7 +211,7 @@ void compiled_allocate_outputs(
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}
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}
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for (; o < outputs.size(); ++o) {
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outputs[o].set_data(allocator::malloc_or_wait(outputs[o].nbytes()));
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outputs[o].set_data(allocator::malloc(outputs[o].nbytes()));
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}
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}
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}
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@@ -31,14 +31,14 @@ inline bool set_copy_output_data(const array& in, array& out, CopyType ctype) {
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return true;
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} else {
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out.set_data(
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allocator::malloc_or_wait(in.data_size() * out.itemsize()),
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allocator::malloc(in.data_size() * out.itemsize()),
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in.data_size(),
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in.strides(),
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in.flags());
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return false;
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}
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} else {
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out.set_data(allocator::malloc_or_wait(out.nbytes()));
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out.set_data(allocator::malloc(out.nbytes()));
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return false;
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}
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}
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@@ -28,7 +28,7 @@ void swap_endianness(uint8_t* data_bytes, size_t N) {
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namespace mlx::core {
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void Load::eval_cpu(const std::vector<array>& inputs, array& out) {
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out.set_data(allocator::malloc_or_wait(out.nbytes()));
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out.set_data(allocator::malloc(out.nbytes()));
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auto read_task = [out_ptr = out.data<char>(),
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size = out.size(),
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itemsize = out.itemsize(),
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@@ -48,12 +48,12 @@ inline void set_ternary_op_output_data(
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switch (topt) {
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case TernaryOpType::ScalarScalarScalar:
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out.set_data(
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allocator::malloc_or_wait(out.itemsize()), 1, b.strides(), b.flags());
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allocator::malloc(out.itemsize()), 1, b.strides(), b.flags());
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break;
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case TernaryOpType::VectorVectorVector:
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if (!(maybe_donate(a) || maybe_donate(b) || maybe_donate(c))) {
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out.set_data(
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allocator::malloc_or_wait(out.itemsize() * b.data_size()),
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allocator::malloc(out.itemsize() * b.data_size()),
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b.data_size(),
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b.strides(),
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b.flags());
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@@ -64,7 +64,7 @@ inline void set_ternary_op_output_data(
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if (!((a.flags().row_contiguous && maybe_donate(a)) ||
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(b.flags().row_contiguous && maybe_donate(b)) ||
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(c.flags().row_contiguous && maybe_donate(c)))) {
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out.set_data(allocator::malloc_or_wait(out.nbytes()));
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out.set_data(allocator::malloc(out.nbytes()));
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}
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break;
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}
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