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upgrade Ascend package 11 Mar 22

This commit is contained in:
shenwei41 2022-03-11 16:18:32 +08:00
parent 70bbe7d0d6
commit f1fde6a262
12 changed files with 67 additions and 31 deletions
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2
graphengine

@ -1 +1 @@
Subproject commit 6b57c837b3f33a479817d9ddfeebfe4d19afe66b
Subproject commit de9ffe384c0c3dbb39e64f1e33aedf042eed4144

9
mindspore/ccsrc/plugin/device/ascend/hal/device/executor/ai_core_dynamic_kernel.cc
View File

@ -96,9 +96,12 @@ void AiCoreDynamicKernel::Execute() {
if (handle_ != nullptr) {
const auto dev_func = std::to_string(tiling_key_);
const auto kernel_info = node_info + "/" + std::to_string(tiling_key_);
if (RT_ERROR_NONE != rtKernelLaunchWithHandle(handle_, dev_func.c_str(), block_dim_, runtime_args_.data(),
args_size, l2ctrl, stream_, kernel_info.c_str())) {
MS_LOG(EXCEPTION) << "Call runtime rtKernelLaunchWithHandle error. Node info: " << node_info;
rtArgsEx_t args_info = {};
args_info.args = runtime_args_.data();
args_info.argsSize = args_size;
if (RT_ERROR_NONE != rtKernelLaunchWithHandleV2(handle_, dev_func.c_str(), block_dim_, &args_info, l2ctrl, stream_,
kernel_info.c_str())) {
MS_LOG(EXCEPTION) << "Call runtime rtKernelLaunchWithHandleV2 error. Node info: " << node_info;
}
} else {
if (RT_ERROR_NONE != rtKernelLaunch(stub_func_, block_dim_, runtime_args_.data(), args_size, l2ctrl, stream_)) {

11
mindspore/ccsrc/plugin/device/ascend/hal/device/executor/ai_cpu_dynamic_kernel.cc
View File

@ -57,11 +57,14 @@ void AiCpuDynamicKernel::Execute() {
if (cust_kernel_) {
flag = RT_KERNEL_CUSTOM_AICPU;
}
auto ret = rtCpuKernelLaunchWithFlag(
reinterpret_cast<const void *>(so_name_.c_str()), reinterpret_cast<const void *>(kernel_name_.c_str()), 1,
reinterpret_cast<const void *>(args_.data()), SizeToUint(args_.size()), nullptr, stream_, flag);
rtArgsEx_t argsInfo = {};
argsInfo.args = args_.data();
argsInfo.argsSize = SizeToUint(args_.size());
auto ret = rtCpuKernelLaunchWithFlagV2(reinterpret_cast<const void *>(so_name_.c_str()),
reinterpret_cast<const void *>(kernel_name_.c_str()), 1, &argsInfo, nullptr,
stream_, flag);
if (ret != RT_ERROR_NONE) {
MS_LOG(EXCEPTION) << "Call rtCpuKernelLaunchWithFlag Failed";
MS_LOG(EXCEPTION) << "Call rtCpuKernelLaunchWithFlagV2 Failed";
}
}

11
mindspore/ccsrc/plugin/device/ascend/hal/device/ge_runtime/task/aicpu_task.cc
View File

@ -79,11 +79,14 @@ void AicpuTask::Distribute() {
MS_LOG(INFO) << "Distribute AicpuTask start, args_size = " << args_size << ", io_addrs_num =" << io_addrs_num
<< ", so_name = " << task_info_->so_name() << ", kernel_name = " << task_info_->kernel_name()
<< ", dump_flag = " << dump_flag;
rt_ret = rtCpuKernelLaunchWithFlag(reinterpret_cast<const void *>(task_info_->so_name().data()),
reinterpret_cast<const void *>(task_info_->kernel_name().data()), 1, args_,
args_size, nullptr, stream_, cpu_flag);
rtArgsEx_t argsInfo = {};
argsInfo.args = args_;
argsInfo.argsSize = args_size;
rt_ret = rtCpuKernelLaunchWithFlagV2(reinterpret_cast<const void *>(task_info_->so_name().data()),
reinterpret_cast<const void *>(task_info_->kernel_name().data()), 1, &argsInfo,
nullptr, stream_, cpu_flag);
if (rt_ret != RT_ERROR_NONE) {
MS_LOG(EXCEPTION) << "Call rt api rtCpuKernelLaunchWithFlag failed, ret: " << rt_ret;
MS_LOG(EXCEPTION) << "Call rt api rtCpuKernelLaunchWithFlagV2 failed, ret: " << rt_ret;
}
MS_LOG(INFO) << "Distribute AicpuTask end.";

5
mindspore/ccsrc/plugin/device/ascend/hal/device/ge_runtime/task/tbe_task.cc
View File

@ -87,7 +87,10 @@ void TbeTask::Distribute() {
MS_LOG(INFO) << "DistributeTbeTask start.";
auto dump_flag = task_info_->dump_flag() ? RT_KERNEL_DUMPFLAG : RT_KERNEL_DEFAULT;
rt_ret = rtKernelLaunchWithFlag(stub_func_, task_info_->block_dim(), args_, args_size, nullptr, stream_, dump_flag);
rtArgsEx_t args_info = {};
args_info.args = args_;
args_info.argsSize = args_size;
rt_ret = rtKernelLaunchWithFlagV2(stub_func_, task_info_->block_dim(), &args_info, nullptr, stream_, dump_flag);
if (rt_ret != RT_ERROR_NONE) {
MS_LOG(EXCEPTION) << "Call rt api rtKernelLaunch failed, ret: " << rt_ret << " mem size " << args_size;
}

10
mindspore/ccsrc/plugin/device/ascend/kernel/aicpu/aicpu_kernel_mod.cc
View File

@ -166,10 +166,12 @@ bool AicpuOpKernelMod::Launch(const std::vector<AddressPtr> &inputs, const std::
<< ", args_size:" << args_.length();
// cppcheck-suppress unreadVariable
auto lock = device::KernelRuntime::LockRuntime();
if (rtCpuKernelLaunchWithFlag(reinterpret_cast<const void *>(node_so_.c_str()),
reinterpret_cast<const void *>(node_name_.c_str()), 1,
reinterpret_cast<const void *>(args_.data()), static_cast<uint32_t>(args_.length()),
nullptr, stream_, flag) != RT_ERROR_NONE) {
rtArgsEx_t argsInfo = {};
argsInfo.args = args_.data();
argsInfo.argsSize = static_cast<uint32_t>(args_.length());
if (rtCpuKernelLaunchWithFlagV2(reinterpret_cast<const void *>(node_so_.c_str()),
reinterpret_cast<const void *>(node_name_.c_str()), 1, &argsInfo, nullptr, stream_,
flag) != RT_ERROR_NONE) {
MS_LOG(ERROR) << "Aicpu op launch failed!";
return false;

9
mindspore/ccsrc/plugin/device/ascend/kernel/aicpu/dynamic_aicpu_kernel_mod.cc
View File

@ -162,9 +162,12 @@ bool DynamicAicpuOpKernelMod::Launch(const std::vector<AddressPtr> &inputs, cons
}
// cppcheck-suppress unreadVariable
auto lock = device::KernelRuntime::LockRuntime();
ret = rtCpuKernelLaunchWithFlag(
reinterpret_cast<const void *>(node_so_.c_str()), reinterpret_cast<const void *>(node_name_.c_str()), 1,
reinterpret_cast<const void *>(args_.data()), static_cast<uint32_t>(args_.length()), nullptr, stream_, flag);
rtArgsEx_t argsInfo = {};
argsInfo.args = args_.data();
argsInfo.argsSize = static_cast<uint32_t>(args_.length());
ret = rtCpuKernelLaunchWithFlagV2(reinterpret_cast<const void *>(node_so_.c_str()),
reinterpret_cast<const void *>(node_name_.c_str()), 1, &argsInfo, nullptr, stream_,
flag);
if (ret != RT_ERROR_NONE) {
MS_LOG(ERROR) << "Aicpu op launch failed!";
return false;

9
mindspore/ccsrc/plugin/device/ascend/kernel/tbe/dynamic_tbe_kernel_mod.cc
View File

@ -302,10 +302,13 @@ bool DynamicTbeKernelMod::Launch(const std::vector<AddressPtr> &inputs, const st
const auto kernel_info = node_info + "/" + std::to_string(tiling_key_);
// cppcheck-suppress unreadVariable
auto lock = device::KernelRuntime::LockRuntime();
auto ret = rtKernelLaunchWithHandle(handle_, dev_func.c_str(), block_dim_, runtimeargs.data(), args_size, l2ctrl,
stream_ptr, kernel_info.c_str());
rtArgsEx_t args_info = {};
args_info.args = runtimeargs.data();
args_info.argsSize = args_size;
auto ret = rtKernelLaunchWithHandleV2(handle_, dev_func.c_str(), block_dim_, &args_info, l2ctrl, stream_ptr,
kernel_info.c_str());
if (ret != RT_ERROR_NONE) {
MS_LOG(ERROR) << "Call runtime rtKernelLaunchWithHandle error. Node info: " << node_info;
MS_LOG(ERROR) << "Call runtime rtKernelLaunchWithHandleV2 error. Node info: " << node_info;
return false;
}
} else {

1
mindspore/python/mindspore/ops/_op_impl/tbe/batch_matmul.py
View File

@ -25,7 +25,6 @@ batch_matmul_op_info = TBERegOp("BatchMatMul") \
.attr("transpose_x1", "required", "bool", "all") \
.attr("transpose_x2", "required", "bool", "all") \
.partial_flag(True) \
.need_check_supported(True) \
.input(0, "x1", False, "required", "all") \
.input(1, "x2", False, "required", "all") \
.input(2, "bias", False, "optional", "all") \

1
mindspore/python/mindspore/ops/_op_impl/tbe/reduce_mean.py
View File

@ -25,6 +25,7 @@ reduce_mean_op_info = TBERegOp("ReduceMean") \
.partial_flag(True) \
.attr("axis", "required", "listInt", "all") \
.attr("keep_dims", "optional", "bool", "all", "false") \
.attr("noop_with_empty_axes", "optional", "bool", "all", "false") \
.input(0, "x", False, "required", "all") \
.output(0, "y", False, "required", "all") \
.op_pattern("reduce") \

27
tests/ut/cpp/stub/runtime/runtime_stub.cc
View File

@ -188,11 +188,17 @@ RTS_API rtError_t rtLabelCreateEx(rtLabel_t *label, rtStream_t stream) { return
RTS_API rtError_t rtLabelCreateExV2(rtLabel_t *lbl, rtModel_t mdl, rtStream_t stm) { return RT_ERROR_NONE; }
RTS_API rtError_t rtCpuKernelLaunchWithFlag(const void *soName, const void *kernelName, uint32_t blockDim,
const void *args, uint32_t argsSize, rtSmDesc_t *smDesc, rtStream_t stream,
const rtArgsEx_t *argsInfo, rtSmDesc_t *smDesc, rtStream_t stm,
uint32_t flags) {
return RT_ERROR_NONE;
}
RTS_API rtError_t rtCpuKernelLaunchWithFlagV2(const void *soName, const void *kernelName, uint32_t blockDim,
const rtArgsEx_t *argsInfo, rtSmDesc_t *smDesc, rtStream_t stm,
uint32_t flags) {
return RT_ERROR_NONE;
}
RTS_API rtError_t rtLabelSwitchByIndex(void *ptr, uint32_t max, void *labelInfoPtr, rtStream_t stream) {
return RT_ERROR_NONE;
}
@ -203,8 +209,13 @@ RTS_API rtError_t rtProfilerTraceEx(uint64_t id, uint64_t modelId, uint16_t tagI
return RT_ERROR_NONE;
}
RTS_API rtError_t rtKernelLaunchWithFlag(const void *stubFunc, uint32_t blockDim, void *args, uint32_t argsSize,
rtSmDesc_t *smDesc, rtStream_t stream, uint32_t flags) {
RTS_API rtError_t rtKernelLaunchWithFlag(const void *stubFunc, uint32_t blockDim, rtArgsEx_t *argsInfo,
rtSmDesc_t *smDesc, rtStream_t stm, uint32_t flags) {
return RT_ERROR_NONE;
}
RTS_API rtError_t rtKernelLaunchWithFlagV2(const void *stubFunc, uint32_t blockDim, rtArgsEx_t *argsInfo,
rtSmDesc_t *smDesc, rtStream_t stm, uint32_t flags) {
return RT_ERROR_NONE;
}
@ -214,8 +225,14 @@ RTS_API rtError_t rtProfRegisterCtrlCallback(uint32_t moduleId, rtProfCtrlHandle
RTS_API rtError_t rtGetRtCapability(rtFeatureType_t, int32_t, int64_t *) { return RT_ERROR_NONE; }
RTS_API rtError_t rtKernelLaunchWithHandle(void *handle, const void *devFunc, uint32_t blockDim, void *args,
uint32_t argsSize, rtSmDesc_t *smDesc, rtStream_t stream,
RTS_API rtError_t rtKernelLaunchWithHandle(void *hdl, const void *kernelInfoExt, uint32_t blockDim,
rtArgsEx_t *argsInfo, rtSmDesc_t *smDesc, rtStream_t stm,
const void *kernelInfo) {
return RT_ERROR_NONE;
}
RTS_API rtError_t rtKernelLaunchWithHandleV2(void *hdl, const void *kernelInfoExt, uint32_t blockDim,
rtArgsEx_t *argsInfo, rtSmDesc_t *smDesc, rtStream_t stm,
const void *kernelInfo) {
return RT_ERROR_NONE;
}

3
tests/ut/python/dataset/test_reset.py
View File

@ -209,7 +209,7 @@ def test_reset_mindrecord(add_and_remove_cv_file): # pylint: disable=unused-arg
run_reset(data, num_epochs=num_epochs, failure_point=failure_point, reset_step=reset_step)
def test_reset_np_error():
def skip_test_reset_np_error():
"""
Feature: dataset recovery
Description: Simple test of data pipeline reset feature for error cases (step is negative, or larger than expected)
@ -229,4 +229,3 @@ if __name__ == "__main__":
test_reset_cifar2()
test_reset_imagenet()
test_reset_mindrecord(add_and_remove_cv_file)
test_reset_np_error()