m53297601
/
mindspore
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

!9537 [MS][GPU] GatherV2_int64_Support

Browse Source 
From: @danishnxt
Reviewed-by: @robingrosman,@tom__chen
Signed-off-by: @robingrosman
pull/9537/MERGE
mindspore-ci-bot 4 years ago committed by Gitee
parent c8dec08070 e3c75646eb
commit dbc592acce
3 changed files with 37 additions and 8 deletions
Show Stats Download Patch File Download Diff File

26
mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/gatherv2_gpu_kernel.cc
Unescape View File

@ -23,11 +23,21 @@ MS_REG_GPU_KERNEL_TWO(
KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat32),
GatherV2GpuFwdKernel, float, int)
MS_REG_GPU_KERNEL_TWO(
GatherV2,
KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeFloat32),
GatherV2GpuFwdKernel, float, int64_t)
MS_REG_GPU_KERNEL_TWO(
GatherV2,
KernelAttr().AddInputAttr(kNumberTypeFloat16).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat16),
GatherV2GpuFwdKernel, half, int)
MS_REG_GPU_KERNEL_TWO(
GatherV2,
KernelAttr().AddInputAttr(kNumberTypeFloat16).AddInputAttr(kNumberTypeInt64).AddOutputAttr(kNumberTypeFloat16),
GatherV2GpuFwdKernel, half, int64_t)
MS_REG_GPU_KERNEL_TWO(GatherV2,
KernelAttr()
.AddInputAttr(kNumberTypeFloat32)
@ -36,6 +46,14 @@ MS_REG_GPU_KERNEL_TWO(GatherV2,
.AddOutputAttr(kNumberTypeFloat32),
GatherV2GpuFwdKernel, float, int)
MS_REG_GPU_KERNEL_TWO(GatherV2,
KernelAttr()
.AddInputAttr(kNumberTypeFloat32)
.AddInputAttr(kNumberTypeInt64)
.AddInputAttr(kNumberTypeInt64)
.AddOutputAttr(kNumberTypeFloat32),
GatherV2GpuFwdKernel, float, int64_t)
MS_REG_GPU_KERNEL_TWO(GatherV2,
KernelAttr()
.AddInputAttr(kNumberTypeFloat16)
@ -44,6 +62,14 @@ MS_REG_GPU_KERNEL_TWO(GatherV2,
.AddOutputAttr(kNumberTypeFloat16),
GatherV2GpuFwdKernel, half, int)
MS_REG_GPU_KERNEL_TWO(GatherV2,
KernelAttr()
.AddInputAttr(kNumberTypeFloat16)
.AddInputAttr(kNumberTypeInt64)
.AddInputAttr(kNumberTypeInt64)
.AddOutputAttr(kNumberTypeFloat16),
GatherV2GpuFwdKernel, half, int64_t)
MS_REG_GPU_KERNEL_TWO(
SparseGatherV2,
KernelAttr().AddInputAttr(kNumberTypeFloat32).AddInputAttr(kNumberTypeInt32).AddOutputAttr(kNumberTypeFloat32),

15
mindspore/ccsrc/backend/kernel_compiler/gpu/cuda_impl/gatherv2.cu
Unescape View File

@ -20,16 +20,16 @@
template <typename T, typename S>
__global__ void GatherV2Kernel(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1,
size_t output_dim2, size_t input_dim1) {
int num = output_dim0 * output_dim1 * output_dim2;
int i, j, k;
for (int write_index = blockIdx.x * blockDim.x + threadIdx.x; write_index < num;
size_t num = output_dim0 * output_dim1 * output_dim2;
size_t i, j, k;
for (size_t write_index = blockIdx.x * blockDim.x + threadIdx.x; write_index < num;
write_index += blockDim.x * gridDim.x) {
i = write_index / (output_dim1 * output_dim2) % output_dim0;
j = write_index / output_dim2 % output_dim1;
k = write_index % output_dim2;
if ((indices[j] >= 0) && (indices[j] < input_dim1)) {
int read_index = i * input_dim1 * output_dim2 + indices[j] * output_dim2 + k;
size_t read_index = i * input_dim1 * output_dim2 + indices[j] * output_dim2 + k;
output[write_index] = input[read_index];
} else {
output[write_index] = 0;
@ -41,7 +41,7 @@ __global__ void GatherV2Kernel(T *input, S *indices, T *output, size_t output_di
template <typename T, typename S>
void GatherV2(T *input, S *indices, T *output, size_t output_dim0, size_t output_dim1, size_t output_dim2,
size_t input_dim1, cudaStream_t stream) {
int size = output_dim0 * output_dim1 * output_dim2;
size_t size = output_dim0 * output_dim1 * output_dim2;
GatherV2Kernel<<<GET_BLOCKS(size), GET_THREADS, 0, stream>>>(input, indices, output, output_dim0, output_dim1,
output_dim2, input_dim1);
return;
@ -49,6 +49,9 @@ void GatherV2(T *input, S *indices, T *output, size_t output_dim0, size_t output
template void GatherV2<float, int>(float *input, int *indices, float *output, size_t output_dim0, size_t output_dim1,
size_t output_dim2, size_t input_dim1, cudaStream_t stream);
template void GatherV2<float, int64_t>(float *input, int64_t *indices, float *output, size_t output_dim0,
size_t output_dim1, size_t output_dim2, size_t input_dim1, cudaStream_t stream);
template void GatherV2<half, int>(half *input, int *indices, half *output, size_t output_dim0, size_t output_dim1,
size_t output_dim2, size_t input_dim1, cudaStream_t stream);
template void GatherV2<half, int64_t>(half *input, int64_t *indices, half *output, size_t output_dim0,
size_t output_dim1, size_t output_dim2, size_t input_dim1, cudaStream_t stream);

4
tests/st/ops/gpu/test_gatherV2_op.py
Unescape View File

@ -926,7 +926,7 @@ def test_gather2():
[4., 2., 8., 2., 9.,]]
).astype(np.float32))
indices = Tensor(np.array([[4000, 1, 300000]]).astype(np.int32))
indices = Tensor(np.array([[4000, 1, 300000]]).astype(np.int64))
expect = np.array([[[0., 0., 0., 0., 0.],
[4., 9., 5., 6., 4.],
[0., 0., 0., 0., 0.]]])
@ -1010,7 +1010,7 @@ def test_gatherV2_dyn_a():
[3., 7., 2., 7., 4.,],
[4., 2., 8., 2., 9.,]]
).astype(np.float32))
indices = Tensor(np.array([[4000, 1, 300000]]).astype(np.int32))
indices = Tensor(np.array([[4000, 1, 300000]]).astype(np.int64))
expect = np.array([[[0., 5., 0.]],
[[0., 9., 0.]],
[[0., 8., 0.]],

Write Preview
Loading…
Cancel
Save