↓ 1 callersFunctioncomputeConv3DInfo(
inShape: [number, number, number, number, number],
filterShape: [number, number, number, number, num
tfjs-core/src/ops/conv_util.ts:276
↓ 1 callersFunctioncomputeOutputShape2D(
inShape: [number, number], fieldSize: number, stride: number,
zeroPad?: number, roundingMode?: 'floo
tfjs-core/src/ops/conv_util.ts:350
↓ 1 callersFunctioncomputeOutputShape4D(
inShape: [number, number, number, number],
filterShape: [number, number, number], outChannels: numbe
tfjs-core/src/ops/conv_util.ts:367
↓ 1 callersFunctionconv1d(
x: Tensor, kernel: Tensor, strides = 1, padding = 'valid',
dataFormat?: DataFormat, dilationRate = 1
tfjs-layers/src/layers/convolutional.ts:141
↓ 1 callersFunctionconv2d(
x: Tensor, kernel: Tensor, strides = [1, 1], padding = 'valid',
dataFormat?: DataFormat, dilationRat
tfjs-layers/src/layers/convolutional.ts:161
↓ 1 callersFunctionconv2dByMatMul({
x,
filter,
convInfo,
backend,
bias = null,
preluActivationWeights = null,
leakyreluAlpha = 0,
tfjs-backend-webgpu/src/kernels/Conv2D_impl.ts:70
↓ 1 callersFunctionconv2dCommonSnippet(
isChannelsLast: boolean, fitAOuter: boolean, fitBOuter: boolean,
fitInner: boolean, addBias = false,
tfjs-backend-webgpu/src/conv2d_mm_webgpu.ts:25
↓ 1 callersFunctionconv2dWithIm2Col({
x,
filter,
convInfo,
backend,
bias = null,
preluActivationWeights = null,
leakyreluAlpha = 0,
tfjs-backend-webgpu/src/kernels/Conv2D_impl.ts:175
↓ 1 callersFunctionconv3d(
x: Tensor, kernel: Tensor, strides = [1, 1, 1], padding = 'valid',
dataFormat?: DataFormat, dilation
tfjs-layers/src/layers/convolutional.ts:228