未验证 提交 2f614106 编写于 作者: R Ruilong Liu 提交者: GitHub

Merge pull request #842 from codeWorm2015/metal

update
......@@ -381,7 +381,7 @@ public extension MTLTexture {
for w in 0..<dim.w {
for sliceIndex in 0..<arrayLength {
if sliceIndex * 4 + 4 > dim.c {
for i in 0..<((sliceIndex * 4 + 4) - dim.c) {
for i in 0..<(4 - ((sliceIndex * 4 + 4) - dim.c)) {
let value = textureArray[sliceIndex * numOfASlice + h * dim.w * 4 + w * 4 + i]
output.append(value)
}
......
......@@ -14,7 +14,7 @@
import Foundation
let testTo = 48
let testTo = 93
public class ResultHolder<P: PrecisionType> {
public let dim: [Int]
......
......@@ -59,15 +59,21 @@ class ConcatOp<P: PrecisionType>: Operator<ConcatKernel<P>, ConcatParam<P>>, Run
}
func delogOutput() {
let outputArray = para.output.metalTexture.floatArray { (o: Float32) -> Float32 in
return o
}
// print(outputArray.strideArray())
let originDim = para.output.originDim
let outputArray = para.output.metalTexture.realNHWC(dim: (n: originDim[0], h: originDim[1], w: originDim[2], c: originDim[3]))
print(outputArray.strideArray())
writeToLibrary(fileName: "concat_out", array: outputArray)
let device: MTLDevice = MTLCreateSystemDefaultDevice()!
// let outputArray = para.output.metalTexture.floatArray { (o: Float32) -> Float32 in
// return o
// }
//
//// print(outputArray.strideArray())
//
// writeToLibrary(fileName: "concat_out", array: outputArray)
//
// let device: MTLDevice = MTLCreateSystemDefaultDevice()!
// let tensorArray: [P] = device.texture2tensor(texture: para.output.metalTexture, dim: [1917, 4])
......
......@@ -24,53 +24,53 @@ struct ReshapeParam {
int32_t otrans[4];
};
kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
texture2d_array<float, access::write> outTexture [[texture(1)]],
constant ReshapeParam &rp [[buffer(0)]],
uint3 gid [[thread_position_in_grid]]) {
if (gid.x >= outTexture.get_width() ||
gid.y >= outTexture.get_height() ||
gid.z >= outTexture.get_array_size()) return;
int oxyzn[4] = {int(gid.x), int(gid.y), int(gid.z), 0}, oabcd[4], ixyzn[4];
ReshapeParam lrp = rp;
int oC = lrp.odim[lrp.otrans[3]];
int iC = lrp.idim[lrp.itrans[3]];
int count = lrp.odim[0] * lrp.odim[1] * lrp.odim[2] * lrp.odim[3];
float4 r;
for (int n = 0; n < 4; n++) {
oxyzn[3] = n;
//4 (gid.x gid.y, gid.z, 0~4)
xyzn2abcd(oC, oxyzn, oabcd);
int tabcd[4];
invtrans(lrp.otrans, oabcd, tabcd);
int index = abcd2index(lrp.odim, tabcd);
if (index < count) {
int c = index % 4;
int temp0 = index % (inTexture.get_array_size() * 4);
int slice = temp0 / 4;
int temp1 = index % (inTexture.get_array_size() * 4 * lrp.idim[2]);
int w = temp1 / (inTexture.get_array_size() * 4);
int h = index / (inTexture.get_array_size() * 4 * lrp.idim[2]);
//kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
// texture2d_array<float, access::write> outTexture [[texture(1)]],
// constant ReshapeParam &rp [[buffer(0)]],
// uint3 gid [[thread_position_in_grid]]) {
// if (gid.x >= outTexture.get_width() ||
// gid.y >= outTexture.get_height() ||
// gid.z >= outTexture.get_array_size()) return;
//
// int oxyzn[4] = {int(gid.x), int(gid.y), int(gid.z), 0}, oabcd[4], ixyzn[4];
// ReshapeParam lrp = rp;
// int oC = lrp.odim[lrp.otrans[3]];
// int iC = lrp.idim[lrp.itrans[3]];
// int count = lrp.odim[0] * lrp.odim[1] * lrp.odim[2] * lrp.odim[3];
// float4 r;
// for (int n = 0; n < 4; n++) {
// oxyzn[3] = n;
//
// //4 (gid.x gid.y, gid.z, 0~4)
// xyzn2abcd(oC, oxyzn, oabcd);
// int tabcd[4];
// invtrans(lrp.otrans, oabcd, tabcd);
// int index = abcd2index(lrp.odim, tabcd);
// if (index < count) {
// int c = index % 4;
//
// int temp0 = index % (inTexture.get_array_size() * 4);
// int slice = temp0 / 4;
//
// int temp1 = index % (inTexture.get_array_size() * 4 * lrp.idim[2]);
// int w = temp1 / (inTexture.get_array_size() * 4);
//
// int h = index / (inTexture.get_array_size() * 4 * lrp.idim[2]);
//
//// index2abcd(lrp.idim, index, tabcd);
//// abcd2xyzn(iC, tabcd, ixyzn);
// r[n] = inTexture.read(uint2(w, h), slice)[c];
// } else {
// r[n] = 0;
// }
// }
// outTexture.write(r, gid.xy, gid.z);
//}
// index2abcd(lrp.idim, index, tabcd);
// abcd2xyzn(iC, tabcd, ixyzn);
r[n] = inTexture.read(uint2(w, h), slice)[c];
} else {
r[n] = 0;
}
}
outTexture.write(r, gid.xy, gid.z);
}
/*
kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]],
texture2d_array<float, access::write> outTexture [[texture(1)]],
constant ReshapeParam &rp [[buffer(0)]],
uint3 gid [[thread_position_in_grid]]) {
......@@ -93,15 +93,14 @@ kernel void reshape(texture2d_array<float, access::read> inTexture [[texture(0)]
if (index < count) {
index2abcd(lrp.idim, index, tabcd);
trans(lrp.itrans, tabcd, iabcd);
abcd2xyzn(iC, tabcd, ixyzn);
abcd2xyzn(iC, iabcd, ixyzn);
r[n] = inTexture.read(uint2(ixyzn[0], ixyzn[1]), ixyzn[2])[ixyzn[3]];
} else {
r[n] = 0;
}
}
outTexture.write(r, gid.xy, gid.z);
}
*/
}
//
//kernel void reshape_half(texture2d_array<half, access::read> inTexture [[texture(0)]],
......
......@@ -53,10 +53,11 @@ class ReshapeOp<P: PrecisionType>: Operator<ReshapeKernel<P>, ReshapeParam<P>>,
func delogOutput() {
print("reshape delog")
// let _: P? = para.input.metalTexture.logDesc(header: "reshape input: ", stridable: false)
let _: P? = para.output.metalTexture.logDesc(header: "reshape output: ", stridable: true)
let deivice = MTLCreateSystemDefaultDevice()!
let array: [Float32] = deivice.texture2tensor(texture: para.output.metalTexture, dim: [1, 1, 600, 7])
print(array.strideArray())
let originDim = para.output.originDim
let outputArray = para.output.metalTexture.realNHWC(dim: (n: originDim[0], h: originDim[1], w: originDim[2], c: originDim[3]))
print(outputArray.strideArray())
}
}
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