| import random, sequtils, times | |
| type | |
| Op = enum | |
| Halt # = 0x0000 | |
| Inc # = 0x0100 | |
| Dec # = 0x0110 | |
| Mul2 # = 0x0230 | |
| Div2 # = 0x0240 | |
| Add7 # = 0x0307 |
| # Nimbus | |
| # Copyright (c) 2018 Status Research & Development GmbH | |
| # Licensed under either of | |
| # * Apache License, version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0) | |
| # * MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT) | |
| # at your option. This file may not be copied, modified, or distributed except according to those terms. | |
| import macros, strformat, strutils | |
| macro fill_enum_holes(x: untyped): untyped = |
| # Nimbus | |
| # Copyright (c) 2018 Status Research & Development GmbH | |
| # Licensed under either of | |
| # * Apache License, version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0) | |
| # * MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT) | |
| # at your option. This file may not be copied, modified, or distributed except according to those terms. | |
| import | |
| stint, eth_common, tables, math, | |
| ../../opcode_values, |
| # Nimbus | |
| # Copyright (c) 2018 Status Research & Development GmbH | |
| # Licensed under either of | |
| # * Apache License, version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or http://www.apache.org/licenses/LICENSE-2.0) | |
| # * MIT license ([LICENSE-MIT](LICENSE-MIT) or http://opensource.org/licenses/MIT) | |
| # at your option. This file may not be copied, modified, or distributed except according to those terms. | |
| import tables | |
| type |
Ref: Discussion started at https://irclogs.nim-lang.org/19-05-2018.html#12:45:21
transmogrifier
noun
someone or something that can change or transform its appearance to something else
Following heated debates in the Nim community whether Nim was a compiled to C or transpiled to C, and also compiled to JS or transpiled to JS, with arguments one way or another,
| /* Copyright (c) 1993-2016, NVIDIA CORPORATION. All rights reserved. | |
| * | |
| * Redistribution and use in source and binary forms, with or without | |
| * modification, are permitted provided that the following conditions | |
| * are met: | |
| * * Redistributions of source code must retain the above copyright | |
| * notice, this list of conditions and the following disclaimer. | |
| * * Redistributions in binary form must reproduce the above copyright | |
| * notice, this list of conditions and the following disclaimer in the | |
| * documentation and/or other materials provided with the distribution. |
| import ../src/arraymancer, sugar | |
| func sigmoid*[T: SomeReal](x: T): T {.inline.} = | |
| 1 / (1 + exp(-x)) | |
| proc gru_cell_step2_update_gate_backward[T: SomeReal]( | |
| dz: Tensor[T], # Incoming gradient | |
| z: Tensor[T], # Post sigmoid activation forward tensor | |
| dWzx, dUzh: var Tensor[T] | |
| ) = |
| [Suite] vm json tests | |
| vmTestsboolean.json | |
| test_helpers.nim(48) test_vm_json | |
| computation.nim(278) testFixture | |
| computation.nim(272) :anonymous | |
| context.nim(27) caller | |
| stack.nim(67) push | |
| validation.nim(48) validateStackItem | |
| Unhandled exception: Invalid stack item: expected 32 bytes, got 42: value is 0xcd1722f3947def4cf144679da39c4c32bdc35681 |
A comparison of Theano with other deep learning frameworks, highlighting a series of low-level design choices in no particular order.
Overview
Symbolic: Theano, CGT; Automatic: Torch, MXNet
Symbolic and automatic differentiation are often confused or used interchangeably, although their implementations are significantly different.
