Updated code to work with new OpenCL stuff added to linear_algebra

.travis.yml

@@ -0,0 +1,4 @@
+language: rust
+
+os:
+- osx

Cargo.toml

@@ -1,8 +1,10 @@
 [package]
 name = "neural_network"
-version = "0.0.0"
+version = "0.1.2"
 authors = ["usbalbin <[email protected]>"]
 
 [dependencies]
-linear_algebra = { git = "https://github.com/usbalbin/linear_algebra.git" }
-rand = "0.4.1"
+linear_algebra = { git = "https://github.com/usbalbin/linear_algebra.git", branch = "OpenCL-accelerated" }
+rand = "0.4.1"
+ocl = "0.16.0"
+lazy_static = "1.0.0"

src/extra_kernels.cl

@@ -0,0 +1,65 @@
+
+
+#if defined(IS_FLOAT) || defined(IS_FLOAT)
+
+{T} {T}_sig_helper({T} x) {
+    return ({T})(1) / (({T})(1) + exp(-x));
+}
+
+kernel void {T}_sigmoid(global {T}* C, global {T}* B) {
+    C[i] = {T}_sig_helper(B[i]);
+}
+
+kernel void {T}_sigmoid_in_place(global {T}* C) {
+    C[i] = {T}_sig_helper(C[i]);
+}
+
+kernel void {T}_sigmoid_prime(global {T}* C, global {T}* B) {
+    {T} sig = {T}_sig_helper(B[i]);
+    C[i] = sig * (1.0 - sig);
+}
+
+kernel void {T}_sigmoid_prime_in_place(global {T}* C) {
+    {T} sig = {T}_sig_helper(C[i]);
+    C[i] = sig * (1.0 - sig);
+}
+
+
+
+
+
+
+
+
+#define lid get_local_id(0)
+#define wgid get_group_id(0)
+#define gz get_global_size(0)
+
+/// Calculate the sum of all the elements in the vector
+kernel void {T}_validate_sample(global const {T}* data, global const {T}* expected_data, global {T}* results, int count, local {T}* temp) {
+
+	{T} value = 0.0;
+	for (int globalIndex = i; globalIndex < count; globalIndex += gz) {
+		value += fabs(data[globalIndex] - expected_data[globalIndex]) > 0.5 ? 0.0 : 1.0;
+	}
+
+	temp[lid] = value;
+	barrier(CLK_LOCAL_MEM_FENCE);
+
+	for (int offset = lz / 2; offset > 0; offset /= 2) {
+		if (lid < offset)
+			temp[lid] += temp[lid + offset];
+		barrier(CLK_LOCAL_MEM_FENCE);
+	}
+
+	if (lid == 0) {
+		results[wgid] = temp[0];
+	}
+}
+
+#undef gz
+#undef wgid
+#undef lid
+
+#endif
+